Salesforce to acquire Convergence.ai to bolster AI Agentforce strategy and fuel London AI expansion

Why Is Salesforce Acquiring Convergence.ai?

Salesforce Inc. (NYSE: CRM) has announced the acquisition of Convergence.ai, a specialist in autonomous AI agents that navigate complex, multi-step digital workflows. Signed under a definitive agreement on May 15, 2025, the deal underscores Salesforce’s ambition to accelerate development within Agentforce, its proprietary AI agent framework designed to automate enterprise tasks at scale. The transaction is expected to close in the second quarter of Salesforce’s fiscal year 2026, subject to customary conditions. Financial terms have not been disclosed.

Convergence.ai’s technology allows AI agents to adapt dynamically to modern digital workspaces, reacting in real-time to UI changes, pop-ups, and errors. This capability marks a leap forward in the development of intelligent digital labor capable of reducing manual intervention and increasing operational resilience.

With this acquisition, Salesforce aims to move beyond generative AI and chatbots toward agentic automation, where digital systems perform decision-based, end-to-end tasks with human-like flexibility. Convergence’s core competencies in adaptive intelligence, agent autonomy, and human-like navigation are now being integrated into Salesforce’s broader AI strategy.

How Will Convergence.ai Strengthen Salesforce’s Agentforce Platform?

Convergence.ai will become a central part of Agentforce — Salesforce’s evolving AI platform for building autonomous agents that act on behalf of users. These agents are designed to operate across Salesforce’s CRM ecosystem and beyond, executing tasks that require reasoning, context awareness, and adaptability.

Salesforce EVP & GM of AI Platform Adam Evans described Convergence’s work as a major catalyst for the next generation of AI assistants. According to Evans, the future lies in agents that can “perceive, reason, and adapt” — shifting away from static scripts and toward self-directed automation in customer service, sales, marketing, and back-office operations.

The incoming Convergence team is expected to focus on enhancing task generalization, user interface resilience, and multi-agent collaboration within the Agentforce ecosystem. This will allow customers to deploy intelligent AI agents that not only complete routine processes but also manage evolving workflows.

What Is the Strategic Significance of Salesforce’s AI Focus in London?

As part of the acquisition, Salesforce will anchor its AI expansion in London. The Convergence.ai team will form the nucleus of a growing R&D lab in the city, intended to serve as a global hub for AI development. Jayesh Govindarajan, Salesforce EVP of AI/ML Engineering, highlighted London’s role as a leader in AI talent and innovation, citing it as a strategic location for recruiting pioneering scientists and engineers.

The move reflects Salesforce’s increasing commitment to the UK’s AI ecosystem at a time when the region is emerging as a global leader in AI governance and research. By deepening its physical presence in the UK, Salesforce also positions itself favorably for AI policy discussions and public-private collaborations.

This AI lab initiative also signals Salesforce’s intent to build a long-term competitive advantage in artificial intelligence by investing in proprietary research and localized innovation.

What Are Analysts Saying About Salesforce’s AI Strategy?

The Convergence.ai acquisition is seen by analysts as part of Salesforce’s broader pivot to AI-driven automation — a shift that began with the launch of Einstein Copilot and expanded through its acquisitions of Slack and Tableau. This latest move deepens Salesforce’s efforts in autonomous enterprise workflows and represents a significant bet on the future of AI agents.

Adam Evans indicated that this is just the beginning. “We envision a future where Agentforce empowers customers with AI that doesn’t just follow instructions — it navigates, collaborates, and thinks like a teammate,” he noted. This vision has attracted praise from the buy-side, as analysts at Wedbush and BofA Securities reaffirmed bullish ratings on CRM stock, citing the company’s proactive AI integrations as a major growth driver.

However, not all sentiment is uniformly positive. Analysts at D.A. Davidson issued an “Underperform” rating, warning that Salesforce’s deep AI focus may divert attention from its core SaaS offerings. They flagged potential risks if AI investments cannibalize or delay innovation in traditional revenue streams.

How Is Salesforce Stock Performing Amid the Acquisition?

Salesforce’s stock (NYSE: CRM) has been performing strongly in 2025, reflecting investor confidence in its AI strategy and earnings potential. As of May 17, CRM closed at $291.15, gaining 0.14% on the day. The stock has shown remarkable resilience, trading within a narrow intraday range of $287.85 to $292.34 and witnessing a volume of 3.85 million shares, which is close to its average 3-month volume.

Year-to-date, CRM shares have gained approximately 33%, outperforming the S&P 500, which rose 27% in the same period. The stock’s forward P/E ratio of 25 remains below its five-year average of 39, suggesting potential for multiple expansion if AI initiatives generate new revenue streams.

Salesforce’s earnings per share are projected to grow 13% annually over the next three years, exceeding the 11% average growth forecast for the S&P 500. These fundamentals reinforce its positioning as a “quality growth” stock with a technology moat.

What Is the Institutional Sentiment and FII/DII Activity?

Institutional flows around Salesforce have increased notably, driven by enthusiasm over Agentforce and related AI announcements. Funds managed by BlackRock, Fidelity, and Vanguard have either maintained or modestly increased positions in Q2 2025, with ETF inflows also showing strong momentum post-announcement.

BofA Securities has set a price target of $440, while Wedbush issued a $425 target, both maintaining “Buy” ratings. Their analysts cited accelerating enterprise demand for agentic AI tools and Salesforce’s ability to cross-sell across its CRM base as upside catalysts.

Conversely, institutional outflows have been minimal, with only short-term hedge funds trimming exposure ahead of the acquisition close, possibly to lock in gains after the YTD rally.

There is no direct FII/DII split as Salesforce is U.S.-listed, but global institutional participation remains high, particularly among sovereign wealth funds and large pension funds exposed to U.S. tech.

Investment Outlook: Buy, Hold, or Sell?

Given Salesforce’s stock performance, institutional sentiment, and strategic execution in AI, the investment recommendation stands at “Hold” with a constructive bias. While valuations have rebounded, the integration of Convergence.ai and its impact on Agentforce remains a key medium-term catalyst. Investors should monitor Salesforce’s upcoming earnings release for evidence of improved margins and AI monetization traction.

For long-term investors, especially those seeking exposure to enterprise AI, Salesforce offers a solid foundation, albeit with elevated execution risk around its evolving product suite. A successful rollout of Agentforce-powered solutions could trigger another phase of upward re-rating.

What Comes Next for Salesforce After the Convergence Deal?

Post-acquisition, Salesforce is expected to ramp up deployment of AI agents across verticals including healthcare, financial services, and manufacturing. The Convergence team will reportedly lead internal AI agent engineering efforts while also contributing to Salesforce’s next-generation user interface strategy.

The London-based AI R&D lab will likely become the epicenter of global innovation, focusing on agent collaboration, industry-specific automation, and real-time decision-making capabilities. Salesforce’s vision of “agent networks” — where multiple intelligent agents seamlessly hand off tasks — may come to fruition faster than anticipated.

As digital transformation accelerates worldwide, Salesforce’s ability to embed intelligence into its core stack could be the differentiator between maintaining CRM leadership and becoming a broader enterprise AI platform.