Salesforce built Koa, a reasoning model on Nvidia's Nemotron that's designed to handle complex CRM workflows like case routing and lead qualification. The company claims it outperforms general-purpose models on CRM tasks with three times fewer errors, though it hasn't published the benchmark or named competitors.

• Koa was trained entirely on synthetic data simulating 30 years of Salesforce's internal CRM deployments across 14 industries, not customer data.
• The model uses supervised fine-tuning combined with reinforcement learning and group relative policy optimization to handle multistep tool execution.
• General availability is set for winter 2024, with 1-800Accountant as the launch pilot customer.

Salesforce announced Koa, a custom AI model trained on decades of business data, alongside new tools like AIforce and Claudeforce that let companies use Salesforce data without leaving their own systems. The move reflects a broader shift where enterprise software companies are building proprietary AI models rather than relying on third-party vendors to avoid losing control of sensitive business intelligence.

• Koa matches or exceeds leading models on CRM tasks with 3x fewer errors by focusing narrowly on business operations instead of general knowledge
• Salesforce released three new AI products: AIforce (natural language interface for Salesforce), Claudeforce (Claude integration with 37 pre-built sales skills), and Headless 360 (API access to Salesforce data from any platform)
• Companies like Salesforce, Crowdstrike, and Thomson Reuters are building custom models using open-source foundations (like Nvidia's Nemotron) rather than becoming AI labs themselves, balancing the need for proprietary intelligence with avoiding massive R&D costs

Salesforce and Anthropic launched Claudeforce, embedding Salesforce's full CRM functionality as a Claude plugin so sales reps can query and update live data without opening Salesforce's interface. The move signals that enterprise software is shifting away from traditional UIs toward AI agents as the primary interaction layer.

• Salesforce in Claude ships with 37 pre-built sales skills and lets users manage CRM data entirely through Claude conversations, with permissions inherited from existing Salesforce access controls—no new infrastructure to set up.
• Salesforce argues this makes its platform more valuable, not less: a seller's typical 10,000-click morning workflow (reviewing opportunities, activities, histories) now takes 30 seconds in Claude, driving higher actual API consumption despite fewer UI logins.
• The partnership signals a deeper shift in enterprise software economics from per-seat licensing to consumption-based pricing tied to API calls, as AI agents—not humans—become the primary users of SaaS tools.
• Anthropic gains direct distribution to millions of sales reps and token consumption growth, while Salesforce positions Claude as its default AI model across products including Slack, where 83% of its workforce already uses Claude-powered Slackbot.

Salesforce integrated Anthropic’s Claude Tag into Slack, creating a persistent AI agent that overlaps with its own Slackbot and Agentforce features. Employees fear this third-party tool could undercut Salesforce’s in-house AI offerings even as the company promotes an open-platform strategy.

• Salesforce built Claude Tag into Slack even though it directly competes with its own Slackbot and Agentforce, leaving customers with three overlapping AI helpers in one workspace.
• The move is financially motivated: Salesforce plans to buy $300 million in Anthropic compute this year and owns roughly 1% of the now-$380 billion startup.
• Employees worry the strategy undercuts in-house products and confuses which tool deserves priority, even as Benioff frames Slack as a model-agnostic "interface to AI."
• Anthropic is reportedly eyeing expansion into Teams, email, and project-management tools, positioning itself to succeed independently of Slack.

Salesforce rolled out Backup & Recover Next, a fully native backup solution with FedRAMP High authorization. It automates daily backups of all objects and sandboxes, offers fast, granular restores, and keeps data within the Salesforce Trust Boundary to meet strict security and residency requirements.

• Salesforce launched Backup & Recover Next, a fully native backup tool built inside its Trust Boundary with FedRAMP High authorization, the only native Salesforce backup tool meeting that standard
• 60% of Salesforce data loss incidents stem from human error like bad exports, sandbox refreshes, or third-party misconfigurations
• It runs daily automated snapshots of all objects, files, and sandboxes, allows side-by-side comparison and granular restores, and bypasses API governor limits
• It's 200% faster than the previous backup product and adds separate backup/restore user roles plus detailed audit logs