When your AI agent acts, who is accountable?
An AI agent can take an action in seconds. Accountability takes longer to work out. That gap is getting harder to ignore as agents move from answering questions to operating inside business systems.
Your AI governance policy can’t stop an AI agent
Most large organisations now have an AI policy. The harder question is whether their AI systems are technically capable of breaking it.
AI research agents: why enterprises need to govern how answers are produced
A convincing AI answer can still come from a flawed process. That matters more as AI moves beyond answering individual questions and starts doing the research itself.
Your AI Problem Might Actually Be a Data Problem
Businesses often blame disappointing AI results on the model. But fragmented systems, unreliable information and unclear access controls are frequently the real constraint. Before investing in better AI, it’s worth looking closely at the data underneath it.
The question isn’t whether AI can act. It’s how much authority it should have.
A model can become very good at understanding instructions without knowing how authority works inside your organisation.
