Build context-aware agents: From data to decisions | BRK240
Over 40% of agentic AI projects will fail because agents lack shared enterprise context, which Microsoft IQ aims to solve.
“More than 40% of agentic AI projects are expected to fail. And that's not because the models aren't capable, but it's because the agents lack the context that they need to be able to succeed.”
At Microsoft Build, Amanda Silver and Marco Castalena framed a shift from people-driven apps to intent-defined agents measured by outcomes, warning that 40%+ of agentic AI projects will fail due to missing enterprise context rather than weak models. They introduced Microsoft IQ as a shared context layer giving agents understanding of an organization's people, data, and policies to improve accuracy and reduce per-agent engineering. It matters as Microsoft's positioning of context infrastructure as the key bottleneck for production-grade enterprise agents.