Salesforce Secrets: How Fortune 500 Companies Are Dominating Their Markets with AI

The AI Revolution is Here – Are You Ready?

In today’s hyper-competitive business landscape, enterprises that fail to innovate are left behind. The world’s most successful companies—Amazon, Coca-Cola, Tesla, and Nike—aren’t just leading their industries; they’re rewriting the rules of customer engagement, sales, and service using Artificial Intelligence (AI) within Salesforce.

Here’s a fact:
By 2025, over 90% of Fortune 500 companies will be using AI-driven CRM solutions to optimize their operations, enhance customer experiences, and boost revenue.

But here’s the problem:
While AI promises efficiency, automation, and smarter decision-making, many enterprises struggle with its implementation. Questions arise:

• How do we properly integrate AI into our sales, marketing, and customer service?
• Is AI just automation, or can it really drive revenue growth?
• Will AI-powered CRM tools replace human employees, or will they enhance productivity?

The good news?
Salesforce has cracked the code on AI integration, enabling enterprises to dominate their markets like never before. From predictive analytics to AI-powered customer interactions, the secret to success lies in leveraging Salesforce AI the right way.

What You’ll Learn

• How AI-driven CRM is reshaping enterprise operations
• How top companies use Salesforce AI to increase sales and customer satisfaction
• Which Salesforce AI features deliver the highest ROI
• How to implement AI into your business—step by step

Are you ready to unlock the AI advantage and future-proof your enterprise? Let’s dive in.

The AI Revolution in CRM: Why Fortune 500 Companies Are Adopting AI-Driven Salesforce Solutions

Why AI in CRM? A Game-Changer for Large Enterprises

Customer Relationship Management (CRM) is no longer just a system for storing contact details and tracking sales interactions. AI-driven CRM has transformed how businesses approach customer engagement, sales forecasting, and operational efficiency. For large enterprises, AI is not just an advantage—it is becoming a necessity.

Here’s why AI-powered CRM solutions like Salesforce are reshaping the way Fortune 500 companies operate:

• Unparalleled Customer Insights – AI processes vast amounts of customer data, identifying patterns, behaviors, and buying signals that would be impossible to detect manually.
• Predictive Analytics for Sales Growth – AI doesn’t just report on past performance; it forecasts future sales trends, helping companies make smarter business decisions.
• Automated Workflows for Efficiency – AI eliminates repetitive manual tasks, allowing teams to focus on strategy, innovation, and customer relationships.
• Hyper-Personalization at Scale – AI enables businesses to personalize marketing campaigns, product recommendations, and customer interactions at an unprecedented level.
• Real-Time Decision Making – AI-driven CRM provides actionable insights instantly, allowing companies to respond to customer needs and market changes in real time.

Salesforce AI: A Brief Evolution

Salesforce has been at the forefront of AI innovation in CRM, continuously enhancing its AI capabilities to empower businesses. Here’s how AI within Salesforce has evolved over the years:

• 2016: Launch of Einstein AI – Salesforce introduced Einstein AI, bringing predictive analytics, automated insights, and AI-driven recommendations to businesses.
• 2021: Expansion into Generative AI – Salesforce started integrating generative AI for automated content creation and chatbot enhancements.
• 2023: AI for Workflow Automation – Businesses gained the ability to streamline internal operations using AI-powered automation.
• 2025: Rise of Multi-Agent AI Systems – The latest trend involves AI agents working together to optimize processes across sales, service, and marketing.

The Business Impact: Why Companies That Ignore AI Are Falling Behind

The rapid adoption of AI-driven CRM isn’t just a trend—it’s a competitive necessity. Enterprises that fail to leverage AI are experiencing major setbacks, including:

• Slower response times to customer inquiries
• Missed revenue opportunities due to inefficient sales targeting
• Higher operational costs due to manual processes
• Reduced customer loyalty from lack of personalization

Companies that embrace AI-powered CRM, on the other hand, are gaining a significant edge. They can predict customer needs before they arise, automate mundane tasks, and optimize sales pipelines for maximum efficiency.

In the next section, we’ll explore how Fortune 500 companies are using Salesforce AI to dominate their industries—with real-world examples that showcase its power in action.

How Fortune 500 Companies Use Salesforce AI to Dominate Their Markets

The world’s most successful enterprises aren’t just using Salesforce as a CRM—they are transforming their entire business strategy with AI-driven insights, automation, and predictive analytics. From optimizing sales performance to delivering hyper-personalized customer experiences, AI within Salesforce is becoming the secret weapon behind industry leaders like Amazon, Nike, and Coca-Cola.

Let’s break down four key areas where AI-powered Salesforce is helping Fortune 500 companies stay ahead.

1. Predictive Sales & Revenue Forecasting

One of the biggest advantages of AI in Salesforce is predicting customer behavior and sales outcomes before they happen. This allows companies to make data-driven decisions, optimize sales strategies, and prioritize high-value deals.

How AI in Salesforce Helps Enterprises:

• AI-powered lead scoring: Identifies the most promising leads based on historical data and customer interactions.
• Sales forecasting with Einstein AI: Predicts future revenue trends, helping sales teams allocate resources more effectively.
• Proactive deal recommendations: AI suggests the next best actions to close deals faster.

Real-World Example: Coca-Cola

Coca-Cola uses Salesforce Einstein AI to analyze purchasing patterns, forecast demand, and personalize marketing campaigns. By integrating AI-driven insights, the company optimizes distribution and improves sales performance across global markets.

2. AI-Powered Customer Service & Support

With customer expectations higher than ever, AI-driven automation is revolutionizing customer service by providing instant, personalized, and efficient support.

How AI in Salesforce Helps Enterprises:

• AI chatbots for instant support: Salesforce Einstein Bots handle routine inquiries, reducing wait times and improving customer satisfaction.
• Sentiment analysis: AI detects customer emotions and urgency in messages, prioritizing tickets that require human attention.
• Self-learning AI: The system continuously improves responses based on past interactions.

Real-World Example: Amazon

Amazon integrates Salesforce Service Cloud AI to automate responses, resolve common issues instantly, and free up human agents for complex inquiries. This AI-driven approach has significantly enhanced efficiency while maintaining high customer satisfaction ratings.

3. Hyper-Personalization with AI-Driven Marketing

Gone are the days of generic email blasts. AI now enables businesses to deliver highly personalized marketing campaigns based on real-time customer behavior.

How AI in Salesforce Helps Enterprises:

• Personalized content generation: AI tailors email campaigns, website recommendations, and social media ads.
• Dynamic customer segmentation: AI groups customers based on preferences, behaviors, and past interactions.
• Automated journey mapping: AI creates personalized experiences, increasing engagement and conversion rates.

Real-World Example: Nike

Nike leverages Salesforce Marketing Cloud AI to analyze customer behavior across multiple touchpoints. AI predicts which products will resonate most with each customer, resulting in more relevant recommendations and higher sales conversions.

4. AI-Driven Process Automation & Operational Efficiency

Large enterprises deal with complex workflows that require seamless automation to remain efficient. AI-powered Salesforce helps businesses eliminate repetitive tasks, speed up processes, and optimize operations.

How AI in Salesforce Helps Enterprises:

• Automated data entry: AI reduces manual input errors and saves time.
• AI-powered workflow automation: Intelligent process automation streamlines business operations.
• Smart task prioritization: AI organizes work based on urgency and business impact.

Real-World Example: Tesla

Tesla uses Salesforce AI automation to streamline supply chain management, customer inquiries, and post-sales engagement. By eliminating inefficiencies, Tesla has enhanced its responsiveness and improved overall operational productivity.

Why This Matters for Your Business

The impact of AI-powered Salesforce is undeniable. The world’s top enterprises are closing deals faster, reducing costs, and delivering superior customer experiences thanks to AI-driven automation, predictive analytics, and hyper-personalization.

But the good news is that these capabilities aren’t just for Fortune 500 companies. Any business that wants to stay competitive can start leveraging Salesforce AI today.

In the next section, we’ll explore the key Salesforce AI features that deliver the highest ROI—and how you can implement them into your business.

Key Salesforce AI Features That Large Enterprises Leverage

Salesforce AI is more than just a buzzword—it is a strategic tool that Fortune 500 companies use to enhance decision-making, automate workflows, and personalize customer interactions. To understand how enterprises maximize their competitive advantage, it is essential to break down the most impactful Salesforce AI features.

Below are the AI-powered capabilities that drive business success.

1. Einstein GPT: The Next Level of AI-Driven Customer Engagement

Salesforce’s Einstein GPT is redefining how companies interact with their customers by leveraging generative AI to create real-time, context-aware responses.

How It Works:

• Generates personalized email responses, chat replies, and knowledge articles instantly.
• Summarizes conversations and suggests next best actions for sales and customer service teams.
• Creates AI-generated content for marketing campaigns, ensuring relevance and engagement.

Why It Matters:

• Enhances productivity by reducing response times.
• Ensures customer interactions are consistent and tailored.
• Empowers businesses to scale personalized engagement.

2. AI-Powered Predictive Insights for Smarter Decision-Making

Data-driven decision-making is a priority for Fortune 500 companies. Salesforce AI analyzes past trends and current interactions to predict future business outcomes.

How It Works:

• Uses historical data to forecast sales performance.
• Identifies at-risk customers before churn occurs.
• Suggests cross-sell and upsell opportunities based on customer behavior.

Why It Matters:

• Helps businesses make proactive, data-driven decisions.
• Reduces customer attrition by identifying issues early.
• Increases revenue through intelligent sales recommendations.

3. Multi-Agent AI Systems for Advanced Automation

Salesforce has moved beyond simple AI tools, introducing multi-agent AI systems that collaborate to optimize processes across sales, marketing, and service.

How It Works:

• AI agents work together to complete complex workflows.
• Automates multi-step processes, such as onboarding new customers or managing support cases.
• Uses reasoning capabilities to solve problems in real-time.

Why It Matters:

• Increases efficiency by handling repetitive tasks without human intervention.
• Reduces errors in manual processes.
• Frees up human employees for more strategic, value-driven work.

4. Predictive Lead Scoring to Prioritize Sales Efforts

Sales teams waste valuable time chasing low-quality leads. Salesforce AI solves this by automatically ranking leads based on their likelihood to convert.

How It Works:

• Scores leads based on engagement, past interactions, and predictive analytics.
• Provides insights into which prospects are most likely to close.
• Suggests personalized outreach strategies based on AI analysis.

Why It Matters:

• Helps sales teams focus on high-value leads.
• Improves conversion rates with targeted engagement.
• Maximizes the efficiency of sales resources.

5. AI-Driven Workflow Automation for Operational Efficiency

Large enterprises handle complex operations that involve multiple departments and processes. Salesforce AI ensures seamless coordination by automating tasks that would otherwise slow down productivity.

How It Works:

• Automates approvals, task assignments, and follow-ups.
• Uses AI-driven recommendations to guide employees through workflows.
• Integrates with third-party tools to synchronize operations.

Why It Matters:

• Saves time and reduces administrative burdens.
• Ensures consistency in workflows across the organization.
• Enhances productivity by eliminating bottlenecks.

6. Real-Time Sentiment Analysis for Customer Experience Optimization

Understanding customer emotions is crucial for improving service and retention. Salesforce AI includes sentiment analysis tools that analyze tone and intent in customer interactions.

How It Works:

• Monitors customer messages, emails, and chatbot interactions.
• Detects frustration, urgency, and satisfaction levels.
• Flags high-priority cases for immediate attention.

Why It Matters:

• Allows businesses to address customer concerns before they escalate.
• Enhances customer satisfaction by personalizing responses based on sentiment.
• Improves brand loyalty through proactive engagement.

Leveraging AI for Maximum ROI

The key to success with Salesforce AI is not just implementing these features but strategically aligning them with business goals. Fortune 500 companies use these AI capabilities to enhance efficiency, increase revenue, and improve customer experiences.

In the next section, we will explore how enterprises can implement AI within Salesforce effectively—without disrupting existing workflows.

The ROI of AI-Powered Salesforce: Why Large Enterprises Are Investing Heavily in AI

Integrating AI into a CRM is not just about innovation—it is about measurable business impact. Large enterprises are investing in AI-powered Salesforce solutions because they deliver tangible benefits, from increased efficiency to higher revenue. The return on investment (ROI) of AI in CRM is no longer speculative; it is backed by real-world data.

1. Increased Productivity and Cost Savings

AI-powered Salesforce automates time-consuming manual tasks, allowing teams to focus on high-value activities. From lead qualification to customer support, AI eliminates inefficiencies that previously required significant human effort.

Key Impact:

• AI-driven automation can reduce administrative work by up to 30 percent.
• Customer service chatbots powered by Salesforce AI reduce workload for human agents, cutting operational costs.
• AI-powered workflows streamline approval processes, reducing delays in sales and contract management.

Case Study: IBM

IBM implemented Salesforce AI to automate sales data entry, reducing manual workload by 40 percent. This allowed sales teams to focus more on closing deals rather than administrative tasks.

2. Revenue Growth Through AI-Driven Sales Optimization

AI does not just improve efficiency—it actively drives revenue by identifying new opportunities, predicting customer behavior, and refining sales strategies.

Key Impact:

• AI-driven lead scoring improves conversion rates by up to 20 percent.
• AI-powered sales forecasting helps enterprises allocate resources more effectively, improving revenue predictability.
• Automated cross-sell and upsell recommendations increase the average deal size.

Case Study: Microsoft

Microsoft leveraged Salesforce Einstein AI to analyze customer data and predict buying trends. This allowed sales teams to personalize their outreach, resulting in a 25 percent increase in customer engagement and higher sales conversions.

3. Improved Customer Retention and Lifetime Value

AI enables businesses to anticipate customer needs, personalize interactions, and resolve issues before they escalate. This leads to stronger customer relationships and long-term retention.

Key Impact:

• AI-powered sentiment analysis helps companies address customer concerns in real time, reducing churn rates.
• AI-driven personalization in marketing campaigns increases customer engagement and loyalty.
• Predictive insights help businesses identify at-risk customers before they leave.

Case Study: Adidas

Adidas used Salesforce AI to analyze customer sentiment across digital platforms. By identifying potential dissatisfaction early, they improved customer service responses and increased retention rates by 18 percent.

4. Faster Decision-Making with AI-Powered Insights

Enterprise decision-making is often slowed down by information overload. AI in Salesforce processes massive amounts of data in seconds, providing actionable insights that would otherwise take weeks to compile.

Key Impact:

• AI dashboards provide real-time insights into business performance.
• Predictive analytics helps companies respond proactively to market trends.
• AI-driven recommendations assist executives in making data-backed strategic decisions.

Case Study: General Electric (GE)

GE uses Salesforce AI to consolidate data from multiple departments, creating a single source of truth for leadership teams. This has accelerated decision-making, improved efficiency, and optimized resource allocation.

The Competitive Advantage of AI-Driven CRM

Fortune 500 companies are not just adopting AI-powered Salesforce for short-term gains. They are using it to future-proof their operations, drive sustainable growth, and maintain a competitive edge in an increasingly digital world.

With proven improvements in productivity, sales, customer retention, and decision-making, AI in Salesforce is no longer optional for enterprises that want to stay ahead.

In the next section, we will break down how businesses can successfully implement AI within Salesforce to maximize their ROI and avoid common pitfalls.

How Enterprises Can Implement AI with Salesforce Effectively

Integrating AI into an enterprise CRM strategy is not just about adopting new technology—it requires a structured approach to maximize its impact while ensuring seamless adoption. Fortune 500 companies that have successfully implemented AI-powered Salesforce solutions follow a strategic framework that minimizes disruption and maximizes ROI.

Here is a step-by-step guide to implementing AI in Salesforce effectively.

1. Define AI-Driven Business Objectives

Before implementing AI, companies must align it with their business goals. AI should not be adopted just because it is trending—it must address specific challenges and opportunities.

Key Questions to Ask:

• What specific problems should AI solve? (e.g., sales forecasting, customer service automation, lead scoring)
• How will AI improve efficiency, customer satisfaction, or revenue growth?
• What key performance indicators (KPIs) will measure success?

Best Practice:

Map out AI use cases across sales, marketing, customer service, and operations to identify where automation and predictive insights can create the most impact.

2. Leverage Salesforce Data Cloud for AI Insights

AI is only as good as the data it processes. Enterprises need clean, integrated, and structured data to train AI models effectively.

Steps to Optimize Data for AI:

• Consolidate customer data from multiple sources into Salesforce Data Cloud.
• Ensure data is accurate, de-duplicated, and consistently updated.
• Use AI-powered data enrichment tools to fill in missing information.

Best Practice:

Integrate real-time data streaming to ensure AI models work with the most up-to-date customer insights.

3. Start with AI-Powered Automation in Sales and Customer Service

The easiest and most impactful way to begin AI adoption is by automating repetitive tasks. Many Fortune 500 companies implement AI-driven automation in sales and customer service first because these areas have immediate, measurable results.

Sales AI Use Cases:

• Predictive lead scoring to help sales teams prioritize high-converting prospects.
• AI-powered sales forecasting to improve resource allocation and revenue predictions.
• Smart email automation that generates personalized responses based on customer behavior.

Customer Service AI Use Cases:

• AI chatbots and virtual assistants to handle common inquiries.
• Sentiment analysis to detect frustration or urgency in customer interactions.
• AI-powered case routing to assign tickets to the right teams automatically.

Best Practice:

Start small with one AI-driven workflow before expanding across departments.

4. Train Teams and Promote AI Adoption

For AI implementation to succeed, employees must understand, trust, and adopt AI-driven tools. Many businesses struggle with AI adoption due to a lack of user confidence.

How to Ensure Successful AI Adoption:

• Educate teams on AI capabilities and benefits through training sessions.
• Showcase AI’s impact with real-time dashboards that demonstrate improvements.
• Create an AI feedback loop, allowing employees to report issues and optimize AI-driven recommendations.

Best Practice:

Position AI as an assistant, not a replacement—emphasize how it enhances human decision-making rather than automating jobs away.

5. Scale AI Usage Across Multiple Business Functions

Once AI proves its value in one area, companies should expand its use across marketing, customer support, supply chain management, and beyond.

Advanced AI Use Cases:

• AI-driven personalization in marketing campaigns.
• AI-powered operational efficiency for process automation.
• Multi-agent AI collaboration to automate cross-functional workflows.

Best Practice:

Continuously monitor AI performance and adjust models based on real-time data to improve accuracy and effectiveness.

6. Ensure AI Ethics, Compliance, and Data Security

With AI handling sensitive customer data, enterprises must prioritize security, privacy, and compliance.

Steps to Maintain AI Governance:

• Implement AI ethics policies to ensure unbiased decision-making.
• Regularly audit AI models to prevent inaccuracies and data biases.
• Comply with GDPR, CCPA, and industry regulations regarding AI-driven data processing.

Best Practice:

Adopt Salesforce’s Trust and Ethics AI framework to maintain transparency and compliance in AI-driven decision-making.

The Path to AI-Powered Enterprise Growth

Successfully implementing AI within Salesforce requires a strategic, phased approach that prioritizes data quality, targeted automation, employee training, and ethical AI governance. Large enterprises that follow this roadmap position themselves for increased efficiency, improved customer engagement, and accelerated growth.

In the next section, we will explore future trends in Salesforce AI and what enterprises can expect in the coming years.

Future Trends: Where is Salesforce AI Heading?

Salesforce AI is continuously evolving, and enterprises that stay ahead of these advancements will have a significant competitive advantage. The next few years will bring even more powerful AI capabilities, reshaping how companies interact with customers, optimize operations, and drive business growth.

Here are the key AI trends in Salesforce that large enterprises should prepare for.

1. Autonomous AI Agents for Business Decision-Making

AI is moving beyond simple automation and predictive analytics. The next phase involves autonomous AI agents that can analyze data, recommend actions, and even make decisions in real time.

What This Means for Enterprises:

• AI will automate complex business processes with minimal human intervention.
• AI agents will collaborate across sales, service, and marketing to create fully integrated workflows.
• Decision-making will become faster, more accurate, and data-driven.

Example Use Case:

• An AI agent could automatically prioritize and assign leads to sales teams based on real-time data, ensuring the highest-value opportunities are pursued first.

2. Multi-Agent AI Systems for Cross-Department Collaboration

Instead of relying on isolated AI tools, multi-agent AI systems will allow different AI models to collaborate, optimizing entire business functions.

What This Means for Enterprises:

• AI will coordinate between sales, customer service, marketing, and supply chain teams.
• AI-powered chatbots, analytics tools, and workflow automation will communicate with each other, improving efficiency.
• Businesses will achieve a true 360-degree view of the customer journey.

Example Use Case:

• A multi-agent AI system could automate customer onboarding, guiding the user from initial inquiry to purchase and post-sale support without human intervention.

3. AI-Generated Business Intelligence and Strategic Insights

While AI-powered reporting already exists, future AI models will provide real-time business intelligence, helping executives make strategic decisions instantly.

What This Means for Enterprises:

• AI will deliver instant recommendations based on market trends, customer behavior, and business performance.
• Leaders will no longer rely on manual reports, as AI will generate dynamic, real-time insights.
• AI will identify emerging opportunities and risks before they become critical.

Example Use Case:

• An AI dashboard could predict revenue fluctuations based on economic trends and suggest strategies to mitigate potential losses.

4. AI-Powered Hyper-Personalization at an Unprecedented Scale

Personalization is already a major focus for enterprises, but future AI capabilities will take it even further, delivering real-time, dynamic experiences tailored to individual customers.

What This Means for Enterprises:

• AI will analyze customer behavior across multiple channels in real time.
• Sales and marketing messages will be hyper-targeted based on AI-driven insights.
• Enterprises will deliver one-to-one experiences at scale, rather than relying on broad audience segments.

Example Use Case:

• A global retailer could dynamically adjust product recommendations on its website in real time based on customer preferences, weather conditions, and current inventory.

5. The Rise of AI-Powered Voice and Conversational CRM

AI-powered voice assistants and conversational interfaces will become essential tools for sales and customer service teams.

What This Means for Enterprises:

• Sales teams will use voice-activated AI assistants to retrieve insights, update records, and generate reports on demand.
• Customers will interact with AI-powered voice chatbots for instant support.
• AI will enable natural language processing for more human-like interactions.

Example Use Case:

• A sales executive could ask, “What are my highest-priority leads this week?”, and Salesforce AI would instantly provide an answer along with suggested actions.

6. AI, IoT, and Blockchain Integration for Enterprise Security

As enterprises rely more on AI-driven decision-making, there will be a greater emphasis on security, data integrity, and compliance.

What This Means for Enterprises:

• AI will work alongside Internet of Things (IoT) devices to analyze real-time data from connected products and services.
• Blockchain integration will enhance data security and fraud prevention.
• Enterprises will benefit from AI-powered cybersecurity solutions to protect sensitive customer and business data.

Example Use Case:

• A financial services firm could use AI and blockchain together to detect fraudulent transactions instantly while maintaining compliance with data privacy regulations.

The Future of Salesforce AI: A Competitive Imperative

AI is no longer a futuristic concept—it is a business necessity. Fortune 500 companies that embrace autonomous AI agents, multi-agent systems, and AI-driven hyper-personalization will gain a massive competitive advantage.

The question is not whether enterprises should implement AI-powered Salesforce solutions, but how quickly they can do so to stay ahead of their competitors.

Now is the time to future-proof your business with AI-driven CRM strategies.

Summary and Key Takeaways – The Future Belongs to AI in Salesforce

Artificial intelligence in Salesforce is no longer just a technology of the future—it has become a fundamental element of business strategy for companies aiming to maintain a competitive edge. Industry leaders such as Amazon, Coca-Cola, Microsoft, and Tesla are already leveraging AI to optimize sales, automate processes, and improve customer relationship management.

Key Takeaways from This Article:

• AI in CRM is no longer optional—it is a necessity. Companies that fail to integrate AI into their operations will lose ground to competitors that are already using it.
• Automation and predictive analytics drive revenue. AI enables businesses to identify the best leads, optimize sales strategies, and forecast market trends with greater accuracy.
• Hyper-personalization is the future. AI facilitates one-to-one interactions with customers, increasing loyalty and lifetime value.
• AI integration reduces costs and increases efficiency. Companies save time and resources by automating routine tasks and minimizing human error.
• The largest enterprises are already scaling AI adoption. These businesses are shaping the future of AI-driven CRM and setting the standards for the industry.

Companies that have not yet started integrating AI into Salesforce must act now before their competition gains an irreversible advantage.

What’s Next? Start Your AI Implementation in Salesforce Today

You don’t have to be a Fortune 500 company to harness the power of AI in Salesforce. Businesses of all sizes can leverage AI to enhance efficiency, optimize sales, and build stronger customer relationships.

If your company wants to explore how to successfully implement AI in Salesforce, our team is here to help. We will analyze your needs and provide solutions that will give you a competitive edge in today’s AI-driven market.

Get in Touch

Interested in implementing AI in Salesforce? Need a strategy tailored to your business?

Let’s talk about the possibilities AI in Salesforce can offer.

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