Aman Raj

Decawork

Aman is the co-founder and CEO of Decawork AI, building autonomous IT admin for the AI workforce. Decawork is in production at publicly listed enterprises, autonomously running IT across identity, security, and endpoint infrastructure. Backed by Entrepreneur First. Previously, Aman led AI at a fashion startup, where he built semantic text search and reverse image search systems serving 150K+ MAU. Before that, he engineered AI/NLP systems at Barclays and conducted research at the University of Hong Kong. He holds an engineering degree from IIT Kharagpur.

Sessions (1)

IT Admin for the AI Workforce: Why Your AI Agents Will Need Their Own IT Department

1:55 PM·Leadership 2 · Room 3020

Every enterprise will soon run two workforces - human and AI. Humans already have IT departments managing their identities, access, incidents, and compliance. Who manages all that for your fleet of 10,000 AI agents? Nobody. Yet. At Decawork AI, we started by building autonomous IT resolution for human employees - a dual-agent system where the agent that thinks can't act and the agent that acts can't improvise. We're live in production across multiple enterprises - autonomously resolving incidents across identity systems, security platforms, endpoint infrastructure, and collaboration stacks. But here's what we discovered: the patterns for managing human IT - identity lifecycle, access governance, incident resolution, audit logging - are the exact same patterns you'll need to manage AI agent fleets at scale. The next massive infrastructure layer isn't AI agents doing work. It's AI agents managing other AI agents. This talk covers the architecture, the production war stories, and the thesis: IT Admin for the AI workforce is an inevitability, and we're building it now.

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