News from the AI & ML world
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@Salesforce
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Salesforce is aggressively expanding its Agentforce platform to capitalize on the growing demand for AI-powered digital labor. A key component of this strategy is the acquisition of UK-based AI automation startup, Convergence.ai. This acquisition will bring Convergence's team and technology, including their expertise in AI agent design, autonomous task execution, and adaptive systems, into the Agentforce platform. The move is intended to accelerate the development of sophisticated AI agents capable of handling complex digital workflows within enterprise environments.
Convergence.ai, founded in 2024 by machine learning scientists Marvin Purtorab and Andy Toulis, has developed innovative AI agents, including "Proxy," designed to learn, evolve, and collaborate with humans. Their technology enables AI agents to navigate and execute tasks within dynamic digital systems, adapting to challenges such as pop-ups, system errors, and user interface changes. According to Salesforce, this acquisition will enable Agentforce to deliver AI that truly transforms how work gets done, allowing for AI assistants that can intelligently manage intricate tasks with human-like ingenuity. To further drive adoption of Agentforce, Salesforce has introduced new flexible pricing. The new ‘Flex Credits’ pricing model is designed to enable businesses to scale AI-powered digital labor to every employee, department, and process. This initiative aims to meet the rapidly accelerating demand for digital labor and positions Salesforce as a leader in the evolving landscape of AI-driven automation and customer interaction. Salesforce executives envision a future where Agentforce empowers customers with AI agents that not only follow instructions but also perceive, reason, and adapt to the complexities of modern digital workflows. Recommended read:
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@Salesforce
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Salesforce, a US-based cloud software giant, has announced its acquisition of Convergence.ai, a London-based company specializing in AI agents for digital environments. This strategic move aims to significantly enhance Salesforce's Agentforce platform, a core component of its AI strategy. Convergence.ai, founded by Marvin Purtorab and Andy Toulis, develops AI agents capable of navigating dynamic digital systems and executing complex tasks, such as managing online workflows and multi-step processes, even when encountering issues like pop-ups or system errors. The acquisition is expected to close in Q2 of Salesforce’s fiscal year 2026, ending July 31.
The Convergence.ai team brings expertise in AI agent design, autonomous task execution, and adaptive systems, which will be instrumental in accelerating the development of advanced AI agents for Agentforce. Adam Evans, EVP & GM, Salesforce AI Platform, emphasized the importance of this acquisition, stating that "the next wave of customer interaction and employee productivity will be driven by highly capable AI agents that can navigate the complexities of today’s digital work." He further added that Salesforce is looking towards a future where Agentforce can empower customers with AI agents that can perceive, reason, and adapt to complex digital workflows. Salesforce is investing heavily in AI to empower Agentforce. Christophe Coenraets, SVP of Developer Relations at Salesforce, is building the new Salesforce Developer Edition, which includes access to the company’s agentic AI platform, Agentforce. A flexible pricing plan for Agentforce has also been announced. This plan includes flex credits, which come in packs of 100,000 for $500, to scale Agentforce across workflows, along with a Flex Agreement that enables companies to shift between user licenses and flex credits as needed. Recommended read:
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@zdnet.com
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Salesforce is tackling the challenge of "jagged intelligence" in AI, aiming to enhance the reliability and consistency of enterprise AI agents. The company's AI Research division has introduced new benchmarks, models, and guardrails designed to make these agents more intelligent, trusted, and versatile for business applications. This initiative seeks to bridge the gap between an AI system's potential intelligence and its ability to perform consistently in unpredictable real-world enterprise environments. Salesforce is focusing on "Enterprise General Intelligence" (EGI), which prioritizes consistency alongside capability for AI agents in complex business settings.
Salesforce AI Research is addressing AI's inconsistency problem by introducing the SIMPLE dataset, a public benchmark with 225 reasoning questions to measure the "jaggedness" of AI systems. They have also introduced ContextualJudgeBench, which evaluates an agent’s ability to maintain accuracy and faithfulness in context-specific answers, emphasizing factual correctness and the ability to abstain from answering when appropriate, especially in sensitive fields like law, finance, and healthcare. These tools are essential for diagnosing and mitigating the erratic behavior of AI agents across tasks of similar complexity. A recent Salesforce survey of 2,552 U.S. consumers reveals a growing acceptance of AI agents, with roughly half (53%) wanting AI to simplify complex information. Furthermore, Salesforce is expanding its Trust Layer with new safeguards, including the SFR-Guard model family, to detect prompt injections, toxic outputs, and hallucinations in both open-domain and CRM-specific data. Overall, the survey makes it clear that AI agents are already starting to have a societal impact. Recommended read:
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@Salesforce
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Salesforce is enhancing its security operations by integrating AI agents into its security teams. These AI agents are becoming vital force multipliers, automating tasks that previously required manual effort. This automation is leading to faster response times and freeing up security personnel to focus on higher-value analysis and strategic initiatives, ultimately boosting the overall productivity of the security team.
The deployment of agentic AI in security presents unique challenges, particularly in ensuring data privacy and security. As businesses increasingly adopt AI to remain competitive, concerns arise regarding data leaks and accountability. Dr. Eoghan Casey, Field CTO at Salesforce, emphasizes the shared responsibility in building trust into AI systems, with providers maintaining a trusted technology platform and customers ensuring the confidentiality and reliability of their information. Implementing safety guardrails is crucial to ensure that AI agents operate within technical, legal, and ethical boundaries, safeguarding against undesirable outcomes. At RSA Conference 2025, SecAI, an AI-enriched threat intelligence company, debuted its AI-native Investigator platform designed to solve the challenges of efficient threat investigation. The platform combines curated threat intelligence with advanced AI techniques for deep information integration, contextual security reasoning, and suggested remediation options. Chase Lee, Managing Director at SecAI, stated that the company is reshaping what's possible in cyber defense by giving security teams superhuman capabilities to meet the scale and speed of modern threats. This AI-driven approach streamlines the investigation process, enabling analysts to rapidly evaluate threats and make confident decisions. Recommended read:
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Ken Yeung@Ken Yeung
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Ken Yeung
, Salesforce
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Salesforce research indicates a rising consumer interest in AI agents that extends beyond mere productivity tools. Everyday users are increasingly eager to utilize AI agents for personalized support in their daily lives, highlighting a significant opportunity for businesses. The study has identified four key consumer personas, including "Smarty Pants," "Minimalists," "Life-Hackers," and "Tastemakers," each with distinct expectations and desires regarding AI agent functionalities. This information is crucial for businesses aiming to design AI agents that resonate with their target audiences.
Vala Afshar, Salesforce’s chief digital evangelist, emphasized the asymmetric nature of the AI conversation, noting that while much focus has been placed on business efficiency and optimization, the consumer perspective has been comparatively overlooked. The Salesforce survey of 2,552 U.S. consumers offers compelling insights for organizations looking to inform their product development and marketing strategies. The research reveals that consumers value personalized, proactive, and conversational experiences provided by AI agents. One of the standout findings from the Salesforce report shows that 65% of respondents expressed interest in tools that help them make better decisions and simplify their lives. The "Smarty Pants" persona, representing 43% of respondents, particularly values detailed and well-presented analyses to aid in confident and strategic decision-making. Salesforce’s research underscores the growing importance of the customer experience, suggesting it could become a make-or-break factor for brands as consumers increasingly expect personalized and supportive AI interactions. Recommended read:
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