While silicon Valley debates whether artificial intelligence has become an overinflated bubble, salesforce’s enterprise AI platform quietly added 6,000 new customers in a single quarter – a 48% increase that executives say demonstrates a widening gap between speculative AI hype and deployed enterprise solutions generating measurable returns.

Agentforce, the company’s autonomous AI agent platform, now serves 18,500 enterprise customers, up from 12,500 the prior quarter. those customers collectively run more than three billion automated workflows monthly and have pushed Salesforce’s agentic product revenue past $540 million in annual recurring revenue, according to figures the company shared with VentureBeat. The platform has processed over three trillion tokens – the fundamental units that large language models use to understand and generate text – positioning Salesforce as one of the largest consumers of AI compute in the enterprise software market.

“This has been a year of momentum,” Madhav Thattai, Salesforce’s Chief Operating Officer for AI, said in an exclusive interview with VentureBeat. “We crossed over half a billion in ARR for our agentic products,which have been out for a couple of years. And so that’s pretty remarkable for enterprise software.”

The numbers arrive amid intensifying scrutiny of AI spending across corporate America.Venture capitalists and analysts have questioned whether the billions pouring into AI infrastructure – from data centers to graphics processing units to model development – will ever generate proportionate returns. Meta, Microsoft and Amazon have committed tens of billions to AI infrastructure, prompting some investors to ask whether the enthusiasm has outpaced the economics.

Yet the Salesforce data suggests that at least one segment of the AI market – enterprise workflow automation – is translating investments into concrete business outcomes at a pace that defies the bubble narrative.

Why enterprise AI trust has become the defining challenge for CIOs in 2025

The distinction between AI experimentation and AI deployment at scale comes down to one word that appeared repeatedly across interviews with Salesforce executives, customers, and self-reliant analysts: trust.

Dion hinchcliffe, who leads the CIO practice at technology research firm The Futurum Group, said the urgency around enterprise AI has reached a fever pitch not seen in previous technology cycles. His firm recently completed a thorough analysis of agentic AI platforms that ranked Salesforce slightly ahead of Microsoft as the market leader.

“I’ve been through revolution after revolution in this business,” Hinchcliffe said. “I’ve never seen anything like this before. In my entire career, I’ve never seen this level of business focus-boards of directors are directly involved, saying this is existential for the company.”

The pressure flows downward. CIOs who once managed technology as a cost center now field questions directly from board members demanding to know how their companies will avoid being disrupted by AI-native competitors.

“They’re pushing the CIO hard, asking, ‘what are we doing? How do we make sure we’re not put out of business by the next AI-frist company that reimagines what we do?'” Hinchcliffe said.But that pressure creates a paradox. Companies want to move fast on AI, yet the very autonomy that makes AI agents valuable also

Corporate Travel Startup Engine Saved $2 Million with AI Agent, While Williams-Sonoma Recreates In-Store Experience online

Trust in generative AI has actually declined – an acknowledgment that even insiders recognize the technology requires careful deployment.However, several companies are finding success with targeted applications of AI agents, demonstrating tangible business value.

Corporate travel startup Engine deployed an AI agent in 12 days and saved $2 million

For Engine, a corporate travel platform valued at $2.1 billion following its Series C funding round, the business case for Agentforce crystallized around a specific customer pain point: cancellations.

Demetri salvaggio,Engine’s Vice President of Customer Experience and Operations,said his team analyzed customer support data and discovered that cancellation requests through chat channels represented a significant volume of contacts – work that required human agents but followed predictable patterns.

Engine deployed its first AI agent, named Ava, in just 12 business days.The speed surprised even Salvaggio, though he acknowledged that Engine’s existing integration with Salesforce’s broader platform provided a foundation that accelerated implementation.

“We saw success right away,” Salvaggio said. “But we went through growing pains, too. Early on, there wasn’t the observability you’d want at your fingertips, so we were doing a lot of manual work.”

Those early limitations have as been addressed through Salesforce’s Agentforce Studio, which now provides real-time analytics showing exactly were AI agents struggle with customer questions – data that allows companies to continuously refine agent behavior.

The business results, according to Salvaggio, have been substantial.Engine reports approximately $2 million in annual cost savings attributable to Ava, alongside a customer satisfaction score advancement from 3.7 to 4.2 on a five-point scale – an increase Salvaggio described as “really cool to see.”

“Our current numbers show $2 million in cost savings that she’s able to address for us,” salvaggio said.”We’ve seen CSAT go up with Ava. We’ve been able to go from like a 3.7 out of five scale to 4.2. We’ve had some moments at 85%.”

Perhaps more telling than the cost savings is Engine’s ideology around AI deployment. Rather than viewing Agentforce as a headcount-reduction tool, Salvaggio said the company focuses on productivity and customer experience improvements.

“When you hear some companies talk about AI, it’s all about, ‘How do I get rid of all my employees?'” Salvaggio said. “Our approach is different. If we can avoid adding headcount, that’s a win. But we’re really focused on how to create a better customer experience.”

Engine has as expanded beyond its initial cancellation use case. The company now operates multiple AI agents – including IT, HR, product, and finance assistants deployed through Slack – that Salvaggio collectively refers to as “multi-purpose admin” agents.

Williams-Sonoma is using AI agents to recreate the in-store shopping experience online

Williams-Sonoma’s AI deployment illustrates a more ambitious vision: using AI agents not merely to reduce costs but to fundamentally reimagine how customers interact with brands digitally.

hasan described a frustration that anyone who has used e-commerce over the past two decades will recognize. Conventional chatbots feel robotic,impersonal,and limited – good at answering simple questions but incapable of the nuanced guidance a knowledgeable store associate might provide.

“We’ve all had experiences with chatbots, and more frequently enough than not, they’re not positive,” Hasan said. “Historically, chatbot capabilities have been pretty basic. But when customers come to us with a service question, it’s rarely that simple – ‘Where’s my order?’ ‘It’s here.’ ‘grate,thanks.’ It’s far more nuanced and complex.”

Williams-Sonoma’s AI agent, called Olive, goes beyond answering questions to actively engaging customers in conversations about entertaining, cooking, and lifestyle – the same consultative approach the company’s in-store assoc

Salesforce Dominates Forrester’s 2024 CRM wave

Salesforce has been recognized as the leader in Forrester’s 2024 CRM Wave, a comprehensive evaluation of leading Customer Relationship Management (CRM) vendors. The report, published on December 22, 2024, assessed 16 significant players in the CRM market – including Oracle, SAP, ServiceNow, and UiPath – across five key dimensions: business value, product innovation, strategic vision, go-to-market execution, and ecosystem alignment. Forrester’s full report details the findings.

Salesforce’s “Elite” Status

Salesforce achieved a score exceeding 90 (out of 100) in each of the five evaluated categories, earning it a position in Forrester’s “Elite” category. This signifies remarkable performance and a strong competitive advantage. Microsoft followed closely behind Salesforce,with both companies demonstrating a substantial lead over other vendors in the assessment.

Key Evaluation Criteria

Forrester’s CRM Wave evaluates vendors based on their ability to meet the evolving needs of businesses. The five dimensions used for assessment are crucial for understanding a CRM provider’s overall strength:

• Business value: The tangible benefits a CRM delivers to customers, including cost savings, revenue increases, and improved customer satisfaction.
• Product Innovation: The CRM’s ability to introduce new features and functionalities that address emerging market trends and customer requirements.
• Strategic Vision: The vendor’s long-term roadmap and commitment to the CRM market, including investments in research and development.
• Go-to-Market Execution: The effectiveness of the vendor’s sales, marketing, and support efforts in reaching and serving customers.
• Ecosystem Alignment: The strength of the vendor’s partnerships and integrations with other technology providers.

Competitive Landscape

The CRM market is highly competitive, with vendors constantly striving to innovate and differentiate themselves.While Salesforce and Microsoft currently lead the pack, other players like Oracle, SAP, and ServiceNow are also making significant strides. According to Forrester, the CRM market is driven by the increasing demand for personalized customer experiences and the need for businesses to leverage data analytics to gain insights into customer behavior.

Acknowledging the Competition

Despite Salesforce’s strong position, analysts recognize the intensifying competition.However, they emphasize Salesforce’s continued commitment to innovation and its established market presence as key differentiators.

Key takeaways

• Salesforce is the leader in Forrester’s 2024 CRM Wave.
• Microsoft is a strong competitor, trailing closely behind Salesforce.
• The evaluation considered five key dimensions: business value, product innovation, strategic vision, go-to-market execution, and ecosystem alignment.
• The CRM market is driven by the demand for personalized customer experiences and data analytics.

looking ahead,the CRM market is expected to continue to evolve rapidly,with artificial intelligence (AI) and machine learning (ML) playing an increasingly important role. Salesforce and other leading vendors will need to continue investing in these technologies to maintain their competitive edge and meet the changing needs of their customers.