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Decawork gives IT teams one place to deploy, govern and maintain the AI agents running across their company. Building internal AI tools and agents is getting easier.
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Decawork gives IT teams one place to deploy, govern and maintain the AI agents running across their company. Building internal AI tools and agents is getting easier. Turning them into company-owned systems is still hard. What follows is agent sprawl: deployment gets messy, agents go live with access to real systems and real data, and maintenance falls in the gap. IT can't see any of it, so it does the only two things it can: first ignore, then block. Ignoring piles up risk; blocking kills the productivity people just found. With Decawork, every agent ships one standard way: its own identity and scoped credentials, with IT's sign-off before it goes live. After that, every run is watched - IT is alerted the moment something fails, agents nobody uses get retired. And the whole time, IT sees every agent, controls what it can touch, and audits every action, with approvals gating anything sensitive. Every big shift - cloud, SaaS, the digital workspace - ended with IT running it. Agents aren't just the next shift, they're the next workforce, bigger than the human one. Decawork is what IT will run them with.
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Approve internal agents built in any tool, control what they can access and do, and see every action.
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Building the agent control plane for IT teams @ Decawork · IIT Kharagpur Prev: -Built AI compliance platform at Barclays used by internal teams globally -Previously founded a fintech and scaled it to 52K families and $1.5M -Led product at a consumer AI startup, scaled to 100K+ MAU (Google Play Best App 2024)
Building the agent control plane for IT teams @ Decawork · BITS Pilani Prev: - AI systems at NVIDIA (deployed at OpenAI, Meta) - Enterprise AI at Ema (used by Microsoft, Hitachi) - Led Conquest, Asia's largest student-run accelerator - Google Code-In Global Winner + Open source since the age of 12
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