CRM

The business landscape is undergoing a significant shift with AI undergoing rapid advancements. With most businesses adopting a robust CRM like Salesforce for managing their processes, this shift is poised to transform the way businesses manage themselves. In fact, a majority of organizations are expected to use AI-augmented CRM systems that will fuel their need for bespoke customer experiences and enhance customer satisfaction. For Salesforce implementation consulting, consider associating with a reliable service provider. With the CRM market having reached a revenue of $98.84 billion in 2025, the embracing of AI and big data is expected to rise by 97% by 2030. This will drive intelligent insights and automation. Salesforce – a robust cloud-based CRM system has positioned itself as “the AI-powered CRM” through Data Cloud, Einstein GPT and a suite of agentic features that are accelerating that shift. Let’s explore the trends in AI-augmented CRM, and how it will impact the customer relationship management landscape. What is AI-enabled CRM? AI-enabled or an autonomous CRM is a CRM that has raised its bar from being a recording tool to a CRM that can act. Besides detecting opportunities, managing cases, drafting tailor-made interactions and generating approvals, an AI-powered CRM can create multi-system workflows with no to very little human intervention. This self-sufficiency is powered primarily by generative AI for language, unified customer data, and arrangement layers that systematize actions across systems. How AI-enabled CRM Functions? AI-augmented CRM gathers humongous amount of data, which generates smart insights on being analyzed. These insights can help organizations sort customers, anticipate their behavior, and personalize experiences, enabling organizations to augment efficiency, boost productivity while ensuring long-term growth. Listed below are some shifts that will become obvious in Salesforce implementations by 2026: From Advice to Action: CRM systems that were earlier designed to perform simple automation tasks, and predictive lead scoring have now been transformed into robust agentic systems that can handle complex workflows. With a clear momentum around Einstein 1, GPT and Agentforce, Salesforce indicates a future that will introduce agents that can manage multiple tasks, i.e. from basic to complex ones. Rather than operating in silos, these agents will be intensely connected to Customer 360 cloud and transactional systems, ensuring actions are data-driven, as well as completely assessable. Entrepreneurs can train agent playbooks, which set restrictions on what agents can perform and where human consent is required. However, in-built tools are required to train such agents using unique prompts and integrate them into existing workflows. Single Source of Truth for AI: The data that powers Generative AI plays an extremely crucial role in how effective it is. With Salesforce’s strong focus on integrating data cloud with AI ensures increased ingestion of data, resolution of identity and deliberated schema design. In truth, data management is indeed a time-consuming part of a CRM project and involves connecting backend systems, refining identity matches and providing administered set features to models to ensure precise and reliable output. This will enable architects to spend more time and effort creating data connectors and stores rather than configuring page layouts. Building Low-code Tools: Low code tools such as App builders are expected to offer competences such as generative AI prompts, agent behaviors and more. By leveraging Einstein 1 and builder tooling, Salesforce is empowering admins to associate prebuilt AI skills with business data. This enables the creation of personalized email creators, service responses drafted by default, and dynamic product suggestions without the need for deep expertise in data science. This will empower teams to model AI-enabled workflows in just few weeks although deployments will continue to rely on operations, thorough testing and regular tracking. Trust Can’t be Negotiated: With Salesforce strengthening support trust across Einstein GPT, implementations will include built-in interpretability whenever agents produce output that impacts customers. All-inclusive assessment trails specifying prompt versions, data inputs, and resulting activities will become compulsory, especially in regulated sectors where disputes and compliance checks may arise. This ensures a change management process that addresses how agents cater to users with compliance and support teams offering support from the outset. Governed Personalization: True hyper-personalization becomes possible when Generative AI is paired with integrated customer profiles. However, organizations won’t allow unrestrained personalization. Rather, personalization will be driven by policy. Adequate usage of data will be programmed into the data model and imposed through the trust layer of Salesforce’s AI. This ensures that sensitive characteristics are excluded by default from some prompts. This approach capitalizes on commercial effect while protecting privacy and compliance. This will enable sales and marketing teams to gain rich content while compliance teams will have to adhere to stringent templates, compliance gates and more. Focus on Agent Value: Measuring CRM performance is no longer limited to standard KPIs such as pipeline value or record volume. Organizations will now be able to track AI-powered metrics such as acceptance of generated content by customers, time saved by agents, and how often humans dominate AI suggestions. Dashboards amalgamating Tableau and real-time AI monitoring will turn these insights achievable. This shift is enabled by Salesforce’s AI and analytics approach. The parameter of success will now be determined by quicker resolutions rather than just feature releases. Multi-model by Design: Organizations would no longer stake everything on a single model. Rather, Salesforce CRM implementation with AI will merge multiple models. For instance, proprietary models for sensitive data, third-party ones for generative ingenuity, and vertical models for unique domain tasks. A unified trust layer will direct requests to the right model. With Salesforce already offering multiple model providers under a shared framework, this approach is expected to become mainstream by the coming year 2026. With this, teams have to assess the cost, risk associated and performance of every model. Operation teams will also require guidelines for routing and emergency suggestions. Privacy & Security are Non-negotiable: In 2026, teams will have to treat security and privacy as the primary aspects of core architecture due to mounting regulatory pressure. Implementations will mandate data minimization, filter what goes in a model, and policies for retention. With regulations and emerging AI laws, organizations will have to provide impact and risk assessment, and data lineage for all AI workflows. Such a roadmap forestalls these demands. This will ensure why teams prioritize privacy constraints while designing their object model. Final Words In 2026 and beyond, Salesforce will evolve from being just a tool for keeping track of customer interactions to a decision-making engine. From integrating AI models and data to enabling teams to create actions that drive value. With Data Cloud, Einstein GPT, Einstein 1, governance layers etc., creating the foundation, enterprises are gradually moving from pilots to large-scale deployments. In fact, AI should be central to any Salesforce program. To unlock meaningful outcomes, make sure to design your data strategy, operating processes and governance around agent-enabled decisions. To avail Salesforce CRM implementation in USA, make sure to partner with a reputed Salesforce partner like Girikon.

Every interaction a customer has with a brand involves a series of steps that helps them decide on a brand or product. During the stages of customer journey, the customers go from being a target audience to loyal advocates. With the high volume and complexity of data generated, traditional analytics approaches may struggle to give businesses the ability to interpret what customers are doing, why they do it, and what they may do next. This is where AI customer journey analytics has become crucial. It turns scattered signals into direction, helping you derive actionable insights with unprecedented speed and accuracy. Therefore, in this blog, we’ll explore what is customer journey, the different stages involved, and how intelligence-driven analytics improves personalization. In addition, we’ll also discuss how to develop customer mapping with the help of AI for enhanced customer experience and improve your marketing and remarketing outcomes. What is a Customer Journey? A customer journey is the interactions a customer has with your brand and begins way before any official purchase. It covers all the touchpoints of a customer that starts with an initial awareness to post-purchase advocacy, or the renewed interest months later. Key Stages of Customer Journey 1. Awareness: The customer has a need, and they look for brands to find a possible solution for them. 2. Consideration: They compare alternatives, read reviews, investigate features and decide whether a product is solves their problem. 3. Purchase: The selection is made, and the customer makes a purchase either online or offline, it’s best if they get a friction-less and smooth checkout process. 4. On-boarding: Next step post purchase, which involves customers learning about how to use the product via tutorials, guidance and support, or an initial setup. 5. Use and Engagement: The customer makes frequent use and engagements with services or product and forms an initial impression of usability and stability. 6. Support: Faster and immediate solutions to the customer gets you their loyalty and long-term relationships with them. 7. Loyalty and Advocacy: This is the stage that leads to renewals, referrals or social endorsements from your users, and thus, strengthens your brand image. What is Customer Journey Mapping? Customer journey mapping is a method to help businesses visualize how customers interact with your business, while trying to interpret how they think, feel, and react along the way. When you see your brand through a customer’s POV, you can identify gaps and opportunities in the customer experience, ultimately enhancing satisfaction and loyalty. The customer journey mapping is quite useful for businesses to understand what is customer journey & motivations, expectations, and pain points. In addition, it also offers these benefits: Predict behavior Anticipate needs Direct responses effectively Examples of Journey Maps One of the examples of customer journey maps is a SaaS app onboarding journey: It starts with users’ signing up. They receive onboarding prompts and exploring the dashboard Moving next to fill the required information to complete setup Lastly, trying the core features. How detailed, clear, and useful the assistance is initially decided whether the user will continue or loses interest. Below we’re discussing the different types of customer journey maps to give you more context into this: Types of Customer Journey Maps Current-state map: It shows how customers interact with the brand presently, such as in retail industry, a shopper’s path from search to checkout. Future-state map: Outlines the ideal journey the company wants to offer, such as a smoother renewal process for subscription users. Day-in-the-life map: It depicts how customers operate beyond brand touchpoints, such as how a working parent manages daily tasks before choosing a financial product. Service blueprint: It captures and collages a customer view with supporting internal processes, such as how support teams handle incoming tickets. What is the Difference Between a Customer Journey Map and a Marketing Funnel? The core difference between customer journey and a marketing funnel is that while customer journey map shows a customer’s real experiences across touchpoints. A marketing funnel shows a business a structured stage to drive conversion. There are the differences too, these are: Factor Customer Journey Map Marketing Funnel Perspective Built from the customer’s viewpoint, reflecting emotions, needs, and interactions Built from the business’s viewpoint, tracking prospects through predefined stages Structure Non-linear, dynamic, and personalized across multiple touchpoints Linear and sequential (awareness leads to consideration and then conversion) Focus Emphasizes customer experience, pain points, and satisfaction Emphasizes lead progression, conversion rates, and sales outcomes Scope Covers the entire lifecycle, including post-purchase and advocacy Primarily ends at purchase or conversion Use Cases Helps improve customer experience, retention, and loyalty Helps optimize marketing strategies, lead generation, and sales efficiency What is Customer Journey Analytics? Customer journey analytics is the process to connect different customer identities and interactions across channels, platforms, devices, and time to offer fast, holistic analyses. Traditional analytical systems were proving insufficient since they only presented fragments of the story like clicks, session metrics, or ticket counts, and didn’t produce ‘why’ behind customer actions. The businesses faced challenges because data is siloed and they don’t have ability to spot patterns across different channels, forcing teams to rely on assumptions that often miss the mark and lead to costly operational errors. This is why the need for AI-powered and advanced custom journey analytics was required. Moreover, did you know that AI-powered personalization in marketing enhances customer satisfaction by 15% to 20% and reduces the cost of service by 20% to 30%. This is why businesses are relying more on modern analytics, and the data is unified despite being scattered across marketing behavior, product usage, sales touchpoints, and support conversations. Teams get detailed and clear insight into customer touchpoints, critical triggers, and the exact points where drop-offs occur. In addition, they also have a better understanding of what motivates a customer and compels them to push towards an action and where their interest loses. Therefore, from identifying customers at high risk of churn to suggesting the optimal next-best action, this continuous intelligence injects significant speed and operational precision into your strategy. Real-time analysis is the key differentiator. A subtle hesitation on a pricing page, a repeated product search, or difficulty during the on-boarding process can instantly trigger highly tailored recommendations, ensuring personalization feels authentic and perfectly timed. Benefits of Hyper-Personalization for Customer Experience According to IBM, Hyper-personalization is “a business strategy that uses advanced technologies to deliver highly tailored experiences, products or services based on individual customer behavior and preferences.” Businesses using this strategic commitment to adapting customer experiences based on their real-time behavior drives whatever information, suggestion, or experience each customer receives is based on their own interest, likes and preferences. The idea is to deliver high-value relevance, not high-pressure tactics, along with targeted assistance and contextually valuable suggestions at the precise moment they are needed. Example of Hyper-Personalization One of the popular examples of hyper-personalization in recent times is Spotify. The music streaming platform is quite loved for how it uses ML models to offer unique user feeds, and playlists. But is globally loved for its shareable “Spotify Wrapped,” an annual marketing campaign that shows its listeners a compilation of their favourite songs, albums and artists. Measurable Business Impact of Hyper-personalized Journeys Higher Conversion Rates: When messages and recommendations resonate with real time intent, the customer makes decisions with a lot of clarity and assurance. Reduced Acquisition Costs: Reduce wasteful impressions through a better-targeted approach, as well as more intelligent routing to add value to each touchpoint. Operational Clarity: When teams have the advanced insights, goal and clear strategy, they can focus more on the most impactful interventions instead of managing fragmented data sets. Higher Long-term Value: Satisfied customers remain longer, spend more time with you online, and contribute to increased lifetime value across segments. Stronger Customer Trust: Customer journeys that are made relevant, thoughtful, and personalized, increase a customer’s trust in both the brand and its promises. 7 Ways Intelligence Elevates Personalization for Businesses Detects Actual Customer Intent: These advanced systems can understand a user’s browsing and click behavior as well as the search query. This helps your team in forecasting unspoken requirements. This assists brands to act in real time without it ever seeming obtrusive to the customers. Dynamic Behavior Segments: Customer groups don’t have static definitions; they constantly change as habits and interests change. Therefore, communication must stay geared towards the customer’s current, active engagement. Predicts Critical Next Steps: The system can predict the likelihood of when a customer will convert, pause or churn, providing the teams with thoughtful and high-impact lead time. Tailors Content and Recommendations: Information changes immediately depending on the activity that took place before, so the suggestions sound entirely natural, timely, and integrated with the customer’s immediate context. Streamlines the Entire Journey: Comprehensive analysis across multiple customers’ journey reveals what is working best, where the interest levels are stagnant, and where specific system adjustments will bring the best result. Links Communication to Current Action: The messages delivered on all channels, including email, push, or in-app, are relevant in the present context of activity of the customer, rather than the information shared last week. Swiftly Identify Friction Spots: Customer drop-offs or repeat errors are spotted fast, hence enabling teams to overcome platform or procedure problems before they impact the customer experience. 5 Steps to Implement Intelligence-Driven Journey Analytics and Mapping So far, we’ve got the idea about how the customer journey goes through changes as a user moves along the funnel. In different ways hyper-personalization ensures the customers receive the experiences and services catered to their personal choices and preferences. Let’s now move on to how to successfully develop an intelligence-driven journey to deliver hyper-personalized experiences to your customer: Assess Your Data Environment Begin by understanding where the information about your customers resides in all the tools and the teams you work in and take note of what interactions go unrecorded. This will assist you in knowing how visitors are passing through touchpoints and where the story becomes unclear or fragmented. Integrate Channel Narrative Rather than making marketing, product usage and support three different worlds, bringing these insights together in a unified story, it helps you in tracking a person’s movement in a much more natural order. As soon as the journey is represented as a continuous path, priorities are inclined to reveal themselves. Define Practical Outcome It’s essential to have one realistic goal before mapping a journey with different objectives. Doing so helps your team focus on nurturing a journey towards one singular goal like improving onboarding or strengthening retention, making it easier to decide whether your efforts are adapting to the way a customer proceeds in the funnel. Map Real Customer Journey You must have a clear understanding of where a customer goes through step by step, including points when they feel hesitant, lose interest or require support. Such an honest and clear perspective usually shows why some stages feel slow or confusing to follow, and how customized assistance may make them feel more confident about moving forward. Test & Learn Iteratively Once you launch with personalization, it is not the end of your project; treat it as a continuous process. Therefore, implement change wherever needed, take note of customer feedback, and continue to improve your strategy. Gradually, the smaller tweaks create journeys that look more qualitative and oriented towards individual expectations and needs. Bonus Point: Choose the right tools: A hyper-personalized strategy for enhanced customer journey is incomplete without selecting the right tools. So, focus on finding the tools that support hyper-personalization, such as marketing automation, easier to set up, and maintain trust and comply with regulations. Platform and Tools for Improved AI Customer Journey Analytics Salesforce Data Cloud: The platform unites data on all points of contact with customers and provides real-time information and predictive marking. Adobe Experience Platform: Provides a unified profile and AI predictions on multi-channel experiences hence the mapping is simplified. Amplitude: It is a widely used behavioral analytics solution to assist brands in understanding the journeys, product utilization, and conversion paths. Insider: With an in-built CDP, it helps marketing teams connect customer data, predict behavior through AI-driven journey and personalization tools. Segment (Twilio): It is a customer data infrastructure, which creates a unified source of data and activates insights in tools. Closing Statement An enhanced customer experience (CX) makes or breaks your brand’s success. Both advanced analytics with hyper-personalization can help you gain a unified view of how your customer interacts with and experiences your product. It is also useful in assisting you to eliminate any form of friction that they might have and be able to determine what factors can make them engage in a continuous interaction. Therefore, to build better relationships, retention and long-term loyalty you must invest in the customer journey and offer personalized content. Hence, implement advanced intelligent campaigns throughout the customer lifecycle using reliable Salesforce AI-consulting services and get effective business value and streamlined all customer touchpoints.

As businesses are drowning in vast amounts of data—service tickets, sales interactions, and marketing responses—it turns out to bae nearly impossible for them to extract relevant insights. Here is where Salesforce Einstein enters, not any longer as an AI layer that brought intelligence to your CRM but as a deeply embedded intelligence framework, automating workflows, ensuring personalized recommendations, and obtaining predictions. In addition to the secondary tools that are implemented on top of your CRM, Salesforce Einstein cooperates with the Salesforce ecosystem in the areas of next-best actions and real-time insights. However, the main question is how you must integrate Salesforce Einstein with your existing CRM setup. Don’t worry, read through the guide and learn. Essential Steps to Ensure Salesforce Einstein Implementation with Existing CRM Within this section, you will get essential steps to ensure smooth Salesforce Einstein implementation. So, consider following the section, also consult with the Salesforce implementation company to learn how the implementation improves workflow of marketing, sales, service, and commerce department. Step 1: Enable Chat Navigate towards Salesforce Org. From Quick Find Box, you need to search for Chat. Then, click Chat Settings. Finally, enable the chat option. Step 2: Implement Chat and Messaging Now, the bots must be connected to a chat implementation and messaging channel to execute without any hiccups. So, for that, you need to: Search for Einstein Bots. Navigate towards Setup. Try to locate the Quick Find Box and search for Einstein Bots from there. Step 3: Enable Einstein Bots Now, it’s time to enable Einstein bots and here is how you must do it: Go to the Setup menu. From there, you need to enable Einstein Bots. Now, just accept the terms and conditions to move to the next step. Step 4: Generate Einstein Bot Setup Page As you have successfully reached the fourth step, consider implementing upon these essential steps: Hover your mouse towards the Einstein Bots Setup page. From there, tap New. After that, you need to essential information like the bot’s name, main menu categories for queries such as Order Status and Technical Support, and a welcoming message for customers. Step 5: List Top Queries For listing queries, you need to follow all the steps that we have provided below: Move towards the main menu. Try to add some top inquiries that customers mostly ask. However, ensure that these inquiries could be anything from “Resetting Password” to “Tracking my Order.” Lastly, just provide an option to “Connect with Live Agent” for additional support. Step 6: Add Menu Options To initiate, add some primary menu options like “Order Related” and “Appointment Related.” Now that the things get setup, tap on “Create” and “Finish.” The last step will redirect you to the Bot Builder Overview Page where you can locate different options. Step 7: Activate the Bot At this moment, you just need to turn on the Bot to enable its successful and faultless functioning with the help of a Salesforce implementation partner. Step 8: Add a Channel for Your Bot To integrate a channel on your bot, you need to execute certain steps that include: Moving towards the Bot Builder. Then, locate the Overview page. From there, hover your mouse towards the Channel section. Now, just click on Add. Opt for the most appropriate messaging channel type. After that, choose the deployment name. Also, reply when the bots cannot answer the customer’s query and you need agents online. Example: You can add a text messaging channel titled “SupportText” and set the same to connect customers to a live agent. Steps 9: Add Embedded Chatbot Go to your website’s help page. Add an Embedded Chat deployment. Now, just preview the bot inside Bot Builder. Evaluate how the bot interacts with visitors. Step 10: Preview and Test This is the last step that you need to take for the successful implementation and execution of Salesforce Einstein and here is how you must conduct it. Try to access the Dialog Page on the Bot Builder. After previewing your bot, just tap Preview. If you’ve already created a chat deployment, use an assigned channel to evaluate its performance. Ensure that the bot must greet and offer menu options to you while kicking off with a pre chat form. Significant Benefits of Integrating Salesforce Einstein into Your CRM Salesforce Einstein integration with existing CRM does more than just adding AI capabilities, i.e., it transforms the way your company sells, markets, and supports customers. Here are all dynamic benefits of using Salesforce Einstein with CRM. 1.Smarter Lead Scoring and Pipeline Prioritization Upon analyzing customer behaviors, past deals, and engagement data, Einstein automatically scores lead. Once more, it brings to the attention of sales representatives the opportunities likely to convert, thus saving valuable time that sales reps would otherwise spend on making manual assumptions. It cuts down the sales cycle and allows us to focus on high-value prospects. 2.Automated Customer Support with Einstein Bots The Arrival of bots can probably automate customer support processes. For instance, Einstein Bots take care of routine inquiries for scheduling appointments, tracking orders, and resetting passwords. It also reduced the workload of agents and at the same time, accelerate the customer service, guaranteeing the fastest response times, on to another level allowing service teams to tackle complex issues requiring human intervention. 3.Quicker AI-Based Decisions Salesforce Einstein brings insights into the CRM interface, thereby minimizing the time spent in manual data analysis. Likewise, it will advise the sales rep on the next-best action to take, identify a risk factor within an actual customer account, and thereafter empower the team to make faster and smarter decisions that impact business outcomes. 4.Personalized Sales & Marketing Campaign Generation Einstein, while delving deep into customer’s preference data, interaction, and purchase history generates hyper-specific campaigns. Moreover, this precision allows the sales and marketing team too to connect with the right prospects at the right time to ensure product recommendations, lead nurturing, and relevant offers. 5.Advanced and Intelligent Predictive Forecasts Traditional reporting collects and collates data. Considering customer churn, Salesforce Einstein puts on its crystal ball with predictive models to foresee sales trends and revenue growth. Predicting these would allow a business to allocate resources, thereby meeting demand and planning strategically based on actual insights. To Sum it Up While the steps outlined above give you a roadmap for Salesforce Einstein implementation with your existing CRM, partnering with one of the best Salesforce consulting companies like Girikon can help you ensure integration that is tailored to your unique business needs. Not just the company help you maximize the potential of Salesforce but also it streamlines workflows across department. Thus, ultimately delivering the connected and intelligent experiences that your customers expect. So, ensure to get in touch with the experts of the company and sets your business ahead of the competition.

Are you looking for the best Salesforce SMS app in 2026? If so, we’ve put together a list of worthy solutions that you must evaluate to simplify communication workflows and enhance customer engagement. In this guide, we compare leading Salesforce SMS apps based on features, automation capabilities, analytics, and scalability for different business needs. As SMS remains one of the most effective and personal ways to reach customers; it's time for you to leverage its full potential while combining it with Salesforce. Not just the Salesforce SMS integration makes messaging more powerful but also offers automation and ensures real-time tracking. More than that, it lets you enable two-way conversational texting while sending bulk promotional messages and delivering timely service updates. Here are the top options for Salesforce SMS app, their features, and how they streamline business communication. Consider reading throughout to learn more. How We Evaluated These Salesforce SMS Apps Native Salesforce integration Support for two-way and bulk messaging Automation and workflow capabilities Analytics and reporting depth Scalability and multi-channel support Top 7 Salesforce SMS Apps to Streamline Business Communication While Salesforce can power your customer relationships, the right SMS app can transform the way you connect, engage and respond in real time. And the amalgamation of these two can help you make an impact in 2026; however, it depends on what you choose among these options. GirikSMS GirikSMS is a robust SMS solution for Salesforce designed to provide businesses with seamless, scalable, and intelligent customer communication. Unlike any tool/software that is generic, GirikSMS integrates deep into Salesforce to ensure that all SMS conversations are recorded as part of the customer's 360-degree journey. Beyond simple texting, it proceeds with bulk campaigns, personalized templates, and automatic workflows, assuring businesses of cut through communication noise and instant reach to customers. As a native communication engine linking interaction processes and boosting engagement, it may facilitate communication and engagement via individual text, automated notification, or bulk campaign. These capabilities reduce siloing data pairs, eliminate the need for third-party tools, and allow teams to have complete visibility on their customer conversations without leaving Salesforce. Organizations that want more than just messaging can have the arsenal of reliable, customer-first, and intelligent communication powered by GirikSMS—thus building lasting customer relationships directly within Salesforce. Well, till now, we have found only the tip of the iceberg, to explore more, check out the dynamic features within the best Salesforce SMS app. Key Features Include: Seamless Salesforce Integration GirikSMS is designed to work natively with Salesforce Sales Cloud, Service Cloud, and Marketing Cloud. This makes it log all messages under activities, providing teams with full visibility into the customer journey. User Friendly Interface The intuitive user-friendly dashboard of the best Salesforce SMS app—GirikSMS, allows the team to track replies, monitor analytics, and manage campaigns, all without the need for technical know-how. Automated Follow-Ups GirikSMS also features automated sequences triggered by client behavior and predefined events like payment reminders, case updates, and appointment confirmation. Inadequate, automatically generated sort of communication provides him/her with perk in a way of being timely, personalized, and consistent. Personalized Reminders & Alerts  GirikSMS allows an enterprise to create reminders and alerts that are relevant and meaningful to each customer depending on user data such as preferences, locations, and demographics, thereby providing greater engagement. Multi-Channel Support The tool would make it possible for you to seamlessly work with communication channels such as Facebook Messenger, WhatsApp, SMS, and so on within a single interface so that you do not have to switch between multiple platforms. Best for: Salesforce-first organizations that need a native, scalable SMS solution with automation, bulk messaging, analytics, and full customer conversation visibility inside Salesforce. 360 SMS App It is yet another Salesforce SMS app that empowers the user to communicate effectively with customers, prospects, and business partners worldwide. Using its single and bulk MMS/SMS, organizations can connect and manage communication with everyone no matter if they are individuals or in groups. It also features link building, SMS templates, and automated workflow, making it appear on our updated list of top Salesforce SMS apps. Best for: Businesses looking for a simple and reliable Salesforce SMS app to send individual and bulk messages globally with basic automation and templates. Mogli SMS Mogli SMS comes with the power of automation that helps businesses create complex text surveys to collect important data and engage customers. It even branches out significant features like chatbot, voice messages, and Text-to-Pay, making it perform seamlessly no matter what the size of organization is. Beyond traditional text messages, the platform can send MMS and WhatsApp, letting you reach international audiences with compelling text content. Best for: Companies that want advanced messaging automation, surveys, chatbots, and multi-channel support (SMS, MMS, WhatsApp) for customer engagement at scale. Twilio Twilio for Salesforce SMS enables businesses to send and receive text messages from Salesforce. It supports messaging groups of any size and helps you reach contacts and person accounts. Featured with rapid setup, 1:1 chat, automated communication flow, and group inbox, it allows businesses to not just text but track and provide accurate responses, With the power of its reporting, you can analyze deliverability, activity, and team performance like a pro. Best for: Teams that need flexible, API-driven SMS capabilities within Salesforce with strong reporting, global reach, and custom workflow control. Avochato Avochato provides efficient, effective, and effortless business messaging. It integrates well with the system you already use every day, allowing you to message directly from a Salesforce record and automatically logging all messages as activity. Using tags and filters within Avochato, businesses can easily segment audiences, thus sending personalized promotions, updates, and alerts at the right moment. Moreover, they can leverage charts and reports to evaluate clicks, replies, and open rates in real time. Best for: Sales and support teams focused on personalized one-to-one messaging, audience segmentation, and real-time performance tracking from Salesforce records. ValueText ValueText comes with one-to-one conversations, letting you text through SMS or WhatsApp from records stored in Salesforce like opportunities, contacts, and leads. With its chat console, you can manage and respond to customers’ queries like a pro. You can even use dynamic templates, send files, facilitate audio messages, set up auto responses, and much more while having this Salesforce SMS app.   Best for: Businesses that require conversational SMS and WhatsApp messaging directly from Salesforce records with templates, file sharing, and auto-responses. SMS Magic SMS Magic is a well-established Salesforce SMS app that reminds and alerts users about meetings and events. It's CRM driven automated multichannel text messaging supports SMS, WhatsApp, and other messaging platforms. With features like conversational AI, intelligent routing, and advanced compliance tools, it turns out to be an ideal option for organizations that handle large-scale communication. Best for: Enterprises managing high-volume, compliance-driven communication across SMS and WhatsApp with automation, routing, and conversational AI support. To Sum it Up Sending SMS through Salesforce is not just about texting but about creating data-driven, timely, and personalized communication that actually strengthens customer relationships. From the more feature-rich solution from GirikSMS to the more versatile platform of Mogli SMS, businesses now have many options from which to choose the best solution applicable to their scale, goals, and industry needs. However, the app chosen must integrate seamlessly with Salesforce and also provide the team with a good measure of analytics, automation, and multi-channel support. If you want more than just basic texting, an intelligent and Salesforce native app like GirikSMS will provide you with the leverage needed in customer engagement, followed by communication that really speaks to its customers.

In 2026, the difference between a smooth Salesforce implementation and a frustrating one often comes down to the tools your salesforce implementation partner uses. With AI reshaping development, and DevOps; using it is becoming a necessity. Salesforce is rolling out continuous enhancements across Einstein 1, Agentforce, and DevOps Center, choosing the right toolkit is no longer optional; it’s foundational to project success. According to Gartner, over 30% of enterprise applications will include agentic AI capabilities by 2028, which means the tools used today directly influence how scalable, secure, and future-ready your Salesforce environment will be. This 2026 guide walks you through the must-have Salesforce tools implementation partners rely on to build faster, deploy safer, automate smarter, and deliver outcomes with minimal technical debt. Why Tools Matter More Than Ever in 2026 The Salesforce ecosystem has evolved dramatically. AI-assisted development, automated testing, governed DevOps pipelines, and cross-cloud automation have become baseline expectations—especially for enterprises scaling Salesforce across sales, service, marketing, data, and automation teams. Using the right tools helps implementation partners: Reduce deployment failures Automate manual and repetitive tasks Improve code quality from day one Accelerate time-to-market Deliver scalable Salesforce orgs aligned with best practices Top 15 Salesforce Tools Recommended by Salesforce Consulting Firms for Effective Implementation Below is the updated, research-backed list of tools every Salesforce implementation partner should be using in 2026. 1. Salesforce Code Builder (2026 AI-Enhanced Edition) Salesforce Code Builder continues to evolve, offering a fully cloud-based development environment with deep AI integration. Developers can now build Apex, LWC, and Visualforce entirely in the browser with real-time AI assistance. 2026 Enhancements: Agentforce-powered debugging Auto-refactoring based on Salesforce best practices Improved LWC scaffolding Smarter inline AI suggestions 2. Salesforce Code Analyzer Still one of the most essential tools for clean, scalable, and secure Apex code. Code Analyzer helps avoid performance issues and future technical debt by validating code quality during development. Why it matters in 2026: Updated rule sets for AI-generated code Better detection of unused or risky Apex logic Built-in vulnerability identification 3. Salesforce Data Loader (Enhanced Performance) Data Loader remains the go-to solution for high-volume data operations. In 2026, Salesforce has improved speed, authentication, and API reliability. Supports millions of records OAuth-based secure authentication Faster Bulk API v2 throughput 4. Salesforce DevOps Center (2026 Standard) Salesforce DevOps Center has become a must-have tool for modern deployments. It replaces manual change sets and brings governed, track-able pipelines to every implementation. Why partners must use it: End-to-end change tracking Native version control integration Automated quality checks Visual pipeline management Salesforce reports that teams using DevOps Center reduce deployment errors by over 40% compared to change-set-only teams. 5. Agentforce for Developers (Major 2026 Upgrade) Agentforce has become the most transformative tool for developers. It acts as an AI assistant that helps write, test, document, and fix Apex and LWC code faster. New 2026 capabilities: Generate Apex tests using real data patterns Simplify integration design with suggested patterns Create MuleSoft flow templates Explain logs and errors in plain language 6. MuleSoft RPA (Growing Automation Standard) Legacy systems without APIs still slow down many Salesforce projects. MuleSoft RPA helps fill these gaps with automation that connects old systems to Salesforce. Automates manual processes Bridges Salesforce with non-API systems Improves data sync across the organization 7. Jenkins (Enterprise CI/CD) Jenkins remains a favorite for enterprises that need heavy customization and full control over their CI/CD pipelines. Highly customizable pipelines Rich plugin ecosystem Strong Salesforce DX support 8. CircleCI CircleCI is known for its speed and developer-friendly CI/CD interface. It’s particularly helpful for teams needing rapid feedback loops. Parallel test execution Deep Salesforce DX integration Real-time build insights 9. Salesforce Inspector A lightweight but powerful Chrome extension, widely loved by developers and admins. 2026 improvements: Faster metadata access Improved SOQL suggestions Better scratch-org support 10. Salesforce Report Builder Even with Tableau and CRM Analytics rising in popularity, Report Builder remains essential for quick insights and operational dashboards. Real-time reporting Simplified drag-and-drop interface Support for dynamic dashboards and filters 11. Salesforce Developer Console A classic, lightweight environment for debugging, inspecting logs, and running queries. Real-time performance metrics SOQL/SOSL query tools Convenient debugging workflow 12. Travis CI A reliable CI tool especially popular with GitHub-centric teams. Simple configuration Automated testing pipelines Lightweight builds 13. Copado (Enterprise DevOps Automation) Copado is one of the most widely adopted Salesforce-native DevOps platforms. Automated deployment governance User story–based release tracking Compliance and audit automation Powerful regression testing tools 14. Provar Testing (Salesforce Testing Standard) As Salesforce architectures grow more complex, automated testing has become non-negotiable. Provar is one of the leading tools for Salesforce UI + API test automation. No-code test builder Supports LWC, Flows, and Screen Flows Reduces regression testing time by up to 70% 15. Gearset (DevOps + Backup) Gearset has quickly become a favorite for both mid-size and enterprise teams because of its ease of use and strong backup capabilities. Metadata and data deployment tools Automated backups with rollback Real-time org comparisons Built-in CI pipelines Conclusion 2026 is a breakthrough year for Salesforce development and implementation. With AI, automation, and DevOps becoming core pillars, the tools your implementation partner uses will define the speed, reliability, and scalability of your Salesforce ecosystem. If you’re exploring which Salesforce tools best fit your roadmap, or evaluating whether your salesforce consulting firm uses the right stack—our experts at Girikon are here to help. Looking for guidance on selecting the right Salesforce tools in 2026? Talk to our salesforce consulting experts today.

table tr td { padding: 10px; } When it’s about implementing Salesforce, size doesn’t always equal success. While large consulting firms boast global teams and glossy portfolios, many businesses—especially mid-sized firms, startups, and niche players—require something more agile and personal, that is aligned with their business goals. These firms are also called as Boutique Salesforce Implementation Partner. Enter the boutique Salesforce implementation partner. The focused and expert-led teams offer a refreshing alternative to the traditional big agency model—who do not just tick boxes but provide direct access to seasoned consultants, build tailored solutions, and move at the speed your business needs. That's not it, these partners help you launch fast, navigate complex challenges, and operate lean. So, what about the idea of joining hands with them? Still confused about how they may bring advantages to the table? Just read the rest of the guide and resolve all your doubts within. What is a Salesforce Implementation Partner? Before we dive into what makes a boutique Salesforce implementation partner unique, it’s important to understand what a Salesforce implementation partner does in general. Well, a Salesforce implementation partner is none other than a certified consulting expert firm that aids businesses in setting up, customizing, and successfully rolling out Salesforce solutions. These partners fulfill the gap of business’s specific needs with Salesforce’s powerful platform, thus ensuring that the platform is not just installed but fully optimized. Dynamic Roles of a Salesforce Implementation Partner Requirement Gathering & Solution Design: Upon assessing and understanding your business’s goals, these partners recommend the right Salesforce products and features to their clients. Customization and Configuration: They offer this service too, thus tailoring the platform according to businesses’ unique workflows, processes, and data structure. Data Migration & Integration: With the seamless movement of existing data and connecting Salesforce with other tools, Salesforce implementation partners ensure that businesses receive a unified place where every interaction is featured. User Training & Support: By conducting essential training & support programs, consultants empower your entire team members to adopt Salesforce confidently and potentially. Project Management: To manage the project, consultants ensure to oversee the timeline, rollout, and coordination across teams. What is a Boutique Salesforce Implementation Partner? A boutique Salesforce implementation partner follows a more specialized, focused, and hand-on approach while deploying and customizing Salesforce. These consultants are often referred to as expert-led and smaller consultancies who follow standardized methods and broad frameworks, instead of just delivering Salesforce. For example, the consultants get to know your exact business model and align their working speed to yours; this process ensures that the project is managed with much more personal attention and that the product is fitted to your very challenges, needs, and nuances of the industry. Key Roles of a Boutique Salesforce Implementation Partner Tailored Discovery & Strategy: Before just recommending a solution, boutique partners invest their valuable time in truly understanding your business model, growth stage, and priorities. Hands-On Configuration & Development: Instead of delegating any tasks to junior teams, experienced consultants and architects handle the setup on their own. Rapid Iteration & Agile Execution: They work closely with you, thus providing essential frequent feedback loops and quick turnaround for faster time-to-value. Consultants Direct Contact: With direct contact between you and the experts who do and manage the work, you will have the highest clarity and alignment ever. Deep Industry/Niche Expertise: Due to their industry-specific training in such fields as financial services, Saas, and healthcare, to name a few, they employ contextual know-how, unlike generalists. Ongoing Advisory & Partnership: Also, boutique Salesforce implementation partners continue as your trusted advisors even after going live for enhancements, optimization, and long-range support. The Boutique Advantage: Why Smaller Might Be Smarter Choosing a boutique Salesforce implementation partner isn’t about going small but about going smart. Here are why businesses find more value, flexibility, and real results in boutique consultancies. Custom Fit Over One-Size-Fits-All Instead of using any cookie-cutter templates, boutique partners understand your unique business processes, growth stage, and goals. Therein, they build a Salesforce solution tailored specifically for business needs. This results in building a platform that fits like a glove and adapts to rigid configurations. Work with the Experts Interacting only with account leads—well, that’s not the case here in boutique consultancy. Direct interaction with project managers, architects, developers, consultants, etc., lets you ensure fast problem-solving and well-informed decisions. Agility That Moves with Your Business As your business grows, boutique partners pivot quickly. Meaning, they adjust features, priorities, and workflows on the fly no matter if there is a mid-project shift in direction and sudden change in scope. This enables the team to move with you—not after you. Specialization That Runs Deep As most boutique firms already focus on Salesforce clouds, they’ve seen your challenges before and already know what works. So, no matter if you seek services in nonprofit donor management, fintech compliance, and Saas customer onboarding—consultants speak your language like they own it. Better Value Without the Bureaucracy Not just barebones but boutiques mean smart investment. Businesses receive higher level expertise without the layers of approvals, inflated costs of large teams, and enterprise overhead. And guess what? This helps them invest their every dollar into successful execution, not in administration. Stronger Collaboration and Long-Term Trust Instead of making you feel like another account number, boutique firms help you build relationships that last. With a genuine stake in your success and more personalized service, they turn out to be those long-term strategic partners who understand your business inside and out. When Should You Choose a Boutique Salesforce Implementation Partner? Well, here are all scenarios where you may need this boutique consultancy while implementing Salesforce. If you need fast time-to-value If your project requires deep niche expertise If you value direct access to experts If you’re a startup or mid-sized business If you’re in a niche industry If your budget is lean but your expectations are high If you want direct consultant access If you need quick iterations and rapid delivery If you value depth over breadth Traditional Salesforce Implementation vs. Boutique Salesforce Implementation: A Comparative Analysis Before wrapping up, let’s unveil the main difference between these two approaches for Salesforce implementation. Aspects Traditional Salesforce Implementation Boutique Salesforce Implementation Project Management Managed by project managers who are often not directly involved in the technical side Led by consultants who have hands-on expertise and are deeply involved Customization Limited to standard templates and modules Builds custom solution that are aligned with specific workflows Approach Standardized or one-size fits all approach Highly tailored and can be customized to your business needs Specialization Has broad knowledge across many industries Deep knowledge and expertise in specific industries Value for Budget Involves higher costs with additional bureaucracy and overhead Cost effective and deliver more value per dollar spent. Team Structure Large teams with layered hierarchies Lean and focused teams with direct access to experts Speed to Value Longer timelines due to internal coordination and scope Faster delivery with fewer hand-offs and tighter execution Agility Slow to adapt due to rigid processes Flexible to enable quick iterations and pivots Client Interaction Limited face time with senior consultants Direct and one-on-one collaboration with solution architects and senior consultants Ideal For Large enterprises with generic requirements Midsize companies, small ones, and those that have special needs. Final Thoughts—Choosing Smart, Not Just Big! Salesforce success is not just about having the platform—it's about who helps you bring it to life. And sometimes, the best move isn’t going big, but going focused, smart, and boutique. So, what about having boutique Salesforce consultants? Looking for a firm that helps you thrive on innovation? Join hands with Girikon, helping you with smarter implementations, deeper industry expertise, and faster results. No matter if you are a startup or mid-sized business, trying to navigate complex niche requirements, Girikon has the commitment, agility, and ability as a boutique partner that’s always in sync with your goals. So, let’s trust the process and build something impactful, future-ready, and tailored like never before.

table tr td { padding: 10px; } Salesforce and ServiceNow are the two most popular platforms in the CRM and service management world—but choosing the best one really depends on the complexities your business is currently facing.  Many Salesforce consulting companies compare these platforms by using a simple relatable analogy or thinking of them as two different types of cars. Salesforce is your sleek, higher performance sports car, while ServiceNow is the all-terrain and dependable SUV. Both of them come with the fundamental features everyone needs—wheels, engines, seats, etc. (or in CRM terms, dashboards, integrations, and automation), but each is engineered for a different journey. Just as you wouldn’t take a sports car off-road or expect an SUV to win a racetrack sprint, these platforms are purpose-built to thrive in different business environments. This blog will let you explore more about what sets them apart, where they shine, and which one will take your business where it needs to go. Salesforce vs Service Now: A Complete Insight While Salesforce is a customer relationship management software that enables businesses to find opportunities in better connecting with customers, ServiceNow is an enterprise workflow automation platform that lets businesses stay organized and be more productive. With Salesforce, businesses can easily get an insight into customer information from a centralized place, thus enabling different departments like marketing, service, and sales to provide their customers with more personalized experiences. On the other hand, ServiceNow offers a suite of customizable and low code tools that bring automation across the overall enterprise and improve service quality. Salesforce and ServiceNow: Is There Anything Familiar Between Them? Yes, there are a lot more similarities between ServiceNow and Salesforce that we’ve compiled in this section. Customer Service Management While ServiceNow has Customer Service Management, Salesforce has a Service Cloud that helps businesses accumulate, manage, and make the most of customer data to provide them with personalized experiences. On the other hand, Service Cloud CSM is a wholesome platform, letting businesses easily engage with customers, manage processes, and offer services. That’s not it, even ServiceNow CSM focuses on planning and coordinating activities too between support teams and customers to fix customer queries seamlessly. Here is a detailed comparison of ServiceNow CSM and Service Cloud in terms of customer service management. Features Salesforce Service Cloud ServiceNow Customer Service Management (CSM) Omnichannel Customer Engagement Enables customer support across social media, web, applications, email, etc., and connect third-party channels with API & integration. It also encourages communication across social media, email, phone, web, and more. Robotic Process Automation Automates repetitive and mundane tasks without any kind of coding needs. Leveraging its task intelligence capabilities, it automates the process of creating, prioritizing, and investigating issues. AI Agents Within Salesforce Agentforce, you can have pre-built AI agents that can communicate with customers in their natural language and resolve their queries. ServiceNow also has AI agents that come with the capabilities of understanding the design, step-by-step processes and context. Thus, seeking approvals from live agents whenever it is required. Self Service With a declarative interface, you can easily set up branded self-service portals that provide quick answers to commonly asked questions. It deploys a self-service portal for new cases to be opened and existing cases to be reviewed and updated, and third-party web/mobile app are built with no code configuration. Workflow Optimizations Using its no-code solutions, it automates complex and frequent business processes. It provides real-time visibility into agent performance, predicting their demands, and making sure that the agents are available when customers need them. Chatbots It has Einstein bots, offering multilingual support to customers across different channels. It offers AI-powered conversational chatbots that automate resolution and solve customer queries with GenAI. Order Management With order management capabilities built directly into the CRM, Salesforce enables businesses to manage their entire order lifecycle. While ServiceNow has a product named Order Management that streamlines the entire order lifecycle process from a single platform. Here is more on the comparison between ServiceNow and Salesforce Order Management. Consider reading further to learn more: Features Salesforce Order Management ServiceNow Order Management Third-party Integrations While integrated with third-party systems, it captures order details in Salesforce. It features order capture APIs that seamlessly collect and record orders from multiple sources in ServiceNow. Centralized Order Data In a centralized place, it provides all order-related information like payment terms, order history, customer records, and more. It also unifies the entire order management lifecycle in one place. Self-Service It allows users to track, view, and cancel orders. It does the same thing, i.e., enabling users to view, place, and track orders. Field Service Management Now, to let businesses manage and optimize their field service experiences, Salesforce empowers businesses to take charge of their operations with a specialized solution—Field Service Lightning (FSL). It is a unified platform that integrates the products, workforce, and customers into one platform to streamline field service operations. Meanwhile, ServiceNow has Field Service Management (FSM), an integrated system designed to link teams through a centralized system of action that facilitates exceptional service outcomes. The following table provides a quick glance at how Salesforce Field Service Lightning stacks up against ServiceNow Field Service Management. Features Field Service Lightning Field Service Management Dispatch Management It provides a Dispatch Console that ensures that information related to absence, skills, and availability is available. Meanwhile, it has a single configurable workspace that makes resource coordination easier and promotes efficient allocation of work.   Visual Remote Assistant It allows customers to connect with experts who can resolve their issues, eliminating the need for them to make any on-site visits. While taking support from the multilingual virtual agents, customers can find solutions to their problems in their preferred language. Schedule Work Orders By following the priority and constraints complied with service level agreements, it enables the scheduling of the work. And with AI, it automatically assigns the job to the best available agent. It assigns the right resources based on factors like territory, priorities, and more, thus automating the process of work order scheduling. Mobile Accessibility Its mobile application is available for both iOS and Android that offers offline capabilities too for field service reps to work even during low or no internet connectivity. Its mobile application comes with offline capabilities for the sales team to work remotely at any time. Field Service Territories It includes a concept called Service Territories that enables you to give a territory to each field service agent. It includes a configurable interface to visualize, manage, and craft more territories. Asset Management It offers real-time asset tracking for the usage, condition, and other specific criteria. It provides a single repository for field service agents to keep track of all the utilized assets. ESG Management Among various other platforms that Salesforce has, Net Zero Cloud is one among them that helps businesses reduce carbon emissions. It centralizes all the data related to carbon emissions into one platform, letting you easily monitor and take essential steps to reduce the carbon footprint and make the most of Salesforce support. Moreover, Net Zero Cloud is also not limited to ESG management as its comprehensive platform enables businesses to meet their sustainability goals at ease. With ServiceNow’s product ESG management, businesses can create a single source of action for all the data related to the social, environmental, and governance (ESG) programs of the organization. Here is a vital comparison between ServiceNow ESG Management and Salesforce Net Zero. Features Salesforce Net Zero Cloud ServiceNow ESG Management Social Metrics Supply chain and social Product safety metrics Diversity, equity, and inclusion (DEI) data Workplace safety and health metrics Health and safety inventories DEI data Community involvement data Integration Capabilities You can easily integrate it with the different products available in the Salesforce ecosystem like Field, Service Lightening, Experience Cloud, etc. Moreover, you can find compatibility for third-party integration. From Strategic Portfolio Management to Risk Management, you can integrate it with different ServiceNow products. Besides, you can get a centralized ESG command center too as it supports third-party integration. Environmental Metrics Waste management data Carbon emission across scopes 1,2,3. Renewal of energy procurement and energy usage Waste management data Carbon scope 1,2,3 emission IT energy uses monitoring Governance Metrics Executive compensation information Broad governance data Policy related metrics   Board of directors pay Corporate policy management Executive remuneration tracking Donation and tax strategy monitoring Generative AI With the use of the data stored in Net Zero Cloud, Einstein AI lets you create a sustainability report. Designed on the Now platform, ESG management can be integrated and used with Now Assistance—a generative AI solution. Customization Salesforce CRM comes with an exceptional range of customization options and low development tools to let businesses align with the platform based on their unique needs. Moreover, it enables you to change the user interface and enhance default features in a way that creates the out-of-the-box components specific to the organization. Besides, Salesforce allows for altering the Salesforce environment, all because of its code-level modifications. Moreover, it syncs connectors, middleware, and plugins altogether to exchange data with third-party systems. ServiceNow also comes with customization options that enable the development of self-service portals based on the specific needs of an enterprise. That’s not it! Workflow customization helps automate the processes according to specific business objectives, thus allowing for the modification of complex integrations, baseline business rules, and more. Automation and AI In the field of automation and AI, Salesforce and ServiceNow are making significant progress. For instance, Salesforce automation helps organizations remain focused by scaling and personalizing customer experiences while relying on AI advancements like Agentforce. Moreover, its pre-built application involves the necessary data access and business intelligence required to work with human resources to provide value to customers. Besides, Salesforce includes a library of over 900 pre-built industry-specific templates that enable the automation of business processes across the organization. Talking about ServiceNow, it is also making a significant leap in the world of AI by enabling enterprises to automate high-touch business processes. Additionally, the platform just introduced some customizable and pre-built agents, having the capability to resolve problems across departments, orchestrate workflows, and make data-driven and end-to-end automation. What is the Difference Between Salesforce and ServiceNow? While the main objective of Salesforce is to provide a 360-degree view to service, sales, and marketing team for building personalized marketing campaigns, closing deals, finding prospects, and offering satisfactory customer services. ServiceNow, on the other hand, aims to streamline and automate internal business processes like—IT service management, customer service management, human resources, security operations, and more. In a nutshell, Salesforce enables outward-facing departments of an organization to do their jobs effectively and ServiceNow ensures ideal working of internal business processes. Which One to Pick: Salesforce vs ServiceNow? The explanation as well as similarities and dissimilarities of Salesforce and ServiceNow should help you make the right choice between the two. Yet, the very decision for which to pick rests chiefly upon your own very specific business needs, challenges, and end goals. You can go with Salesforce if it requires a variety of solutions under one platform that caters to your customers’ essential needs. However, you can use ServiceNow for managing internal business operations like HR management, IT operations management, asset management, and more. Upon going with such moves, you will find the best solution for your business. However, what is more essential is to find the right Salesforce implementation partner who will help you make the most of the platform no matter if you choose Salesforce or ServiceNow.