Giving AI Agents More Enterprise Data Report Leads to Better Decision-Making

The Common Question

How much data access do AI agents need?

The Lesson in This Case

Companies where AI agents can access more than 70% of enterprise data report that 100% of their leadership trusts the decisions those agents make – compared to roughly half of organizations overall. That gap traces directly to data infrastructure: two-thirds of organizations still running on legacy systems say those systems block agents from scaling and prevent real-time decision-making, while the leading group has reduced that constraint to just 8%. If you are allocating AI budget right now, the bottleneck is not the model – it is data readiness, and closing that gap before 2027 is the difference between agents that act reliably at scale and expensive pilots that stall.

Originally reported by MIT Technology Review. Read the full story here.