venturebeat
AI lowered the cost of building software. Enterprise governance hasn’t caught up

Presented by Retool The logic used to be: buying software is cheaper, faster, and safer for most use cases. Building was reserved for companies with large engineering teams, deep pockets, and problems so specific that no vendor could address them. But now, the cost to code a piece of software has dropped to zero. Anyone can build their own software now, but enterprise and governance models have yet to catch up. Retool’s 2026 Build vs. Buy Shift Report, based on a survey of 817 builders, traces exactly how this shift is playing out.The cost curve changed; SaaS pricing didn’tTwo years ago, a custom internal tool might have taken an engineering team weeks or months and cost six figures. Today, an operations lead with the right platform can have a working prototype in a day or two. This st [...]

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venturebeat
Claude’s next enterprise battle is not models: it’s the agent control plane

New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infrastructure where AI [...]

Match Score: 96.54

venturebeat
Zip’s new AI agents want to stop your finance team from uploading contracts into personal ChatGPT accounts

Zip, the AI procurement platform valued at $2.2 billion, announced two products on Monday that mark a turning point in its evolution from procurement software to autonomous AI platform: a suite of fiv [...]

Match Score: 93.49

venturebeat
Perplexity takes its ‘Computer’ AI agent into the enterprise, taking aim at Microsoft and Salesforce

Perplexity, the AI-powered search company valued at $20 billion, announced on Wednesday at its inaugural Ask 2026 developer conference that its multi-model AI agent, Computer, is now available to ente [...]

Match Score: 90.86

venturebeat
The Agentic Reckoning: Enterprise AI organizations have a runtime problem, not a model problem — and most are building the wrong solution

In Q1 2026, VentureBeat's Pulse Research surfaced the “Governance Mirage”: the gap between the governance org charts enterprises had drawn and the control layers they had actually built. Fort [...]

Match Score: 86.39

venturebeat
The AI governance mirage: Why 72% of enterprises don’t have the control and security they think they do

Decision makers at 72% of organizations claim to have two or more AI platforms that they identify as their "primary" layer, according to a survey of 40 enterprise companies conducted by Vent [...]

Match Score: 80.68

venturebeat
GitHub leads the enterprise, Claude leads the pack—Cursor’s speed can’t close

In the race to deploy generative AI for coding, the fastest tools are not winning enterprise deals. A new VentureBeat analysis, combining a comprehensive survey of 86 engineering teams with our own ha [...]

Match Score: 76.42

venturebeat
IBM claims 45% productivity gains with Project Bob, its multi-model IDE that orchestrates LLMs with full repository context

For many enterprises, there continue to be barriers to fully adopting and benefiting from agentic AI.IBM is betting the blocker isn't building AI agents but governing them in production.At its Te [...]

Match Score: 68.36

venturebeat
Writer launches AI agents that can act without prompts, taking on Amazon, Microsoft and Salesforce

Writer, the enterprise AI agent platform backed by Salesforce Ventures, Adobe Ventures, and Insight Partners, today launched event-based triggers for its Writer Agent platform, enabling AI agents to a [...]

Match Score: 68.31

venturebeat
Anthropic launches Claude Tag, replacing its Slack app with a persistent AI teammate that learns, monitors and works autonomously

Anthropic on Tuesday launched Claude Tag, a new product that embeds its most advanced AI model directly inside Slack as a persistent, shared teammate that anyone on a team can delegate work to by simp [...]

Match Score: 67.93