The AI Intelligence Brief.
Weekly signal over noise — the AI developments, decisions, and frameworks that enterprise AI leads actually need. No hype. No fluff.
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Each issue
Three things, every week.
We don't aggregate AI news. We curate it, contextualise it, and tell you what it means for your programme.
AI Developments
Five curated developments from the week — with context. Not just links. We explain why each matters to enterprise AI leads and what action, if any, it warrants.
Decision Brief
One framework for a decision your AI team is likely facing this week. Concise. Practical. No theory padding. You can act on it by Friday.
Executive Note
One thing your leadership team needs to understand about AI this week — written so you can forward it directly to your director or board sponsor.
Sample issue
What it looks like.
The Agent Governance Problem
Your AI agents are making decisions. Does your governance know that?
This week, a client told us they'd deployed an AI agent to handle procurement approvals up to £5,000. No governance policy. No audit trail. No human review threshold defined. The agent had been running for six weeks.
This is the agent governance problem, and it is arriving faster than most organisations' risk functions are prepared for. Unlike traditional AI models that generate outputs for humans to act on, agents take actions. They send emails, update records, make API calls, approve requests. The action-consequence loop is compressed — and your existing governance frameworks almost certainly weren't designed for it.
"The most important governance question for 2026 is not 'what can our AI do' but 'what can our AI do without asking anyone first.'"
In this issue, we cover the five governance gaps that agentic AI exposes, a framework for defining agent authority levels, and the policy language you need to add to your AI governance stack before this becomes a board-level incident.
~2,400 words in the full issue — Pro subscribers only
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