
Steering a programme with AI agents: what the agent prepares, what you decide
How to steer a programme (several linked projects) with AI agents: portfolio view, dependencies, trade-offs prepared by the agent, human decisions on record.
Who sits on the steering committee of a project that runs AI agents, at what cadence, with which agenda — and the extra question it has to ask every week.
Last reviewed on September 1, 2026

To decide — not to inform (the status report is read beforehand) and not to coordinate (that is the daily work between teams). Its decisions are the ones that exceed the team: move a date, cut scope, release budget, arbitrate between projects, accept a risk. When agents execute work, the committee gains one more job: checking that the agents acted within the frame they were given.
The sponsor, the project lead, the leads of the teams involved, the person who governs the AI agents (roles, permissions, autonomy modes) and — unless a cockpit records decisions as objects during the meeting — someone to write them down. Beyond six or seven people the committee informs instead of deciding.
A two-hour monthly review always comes too late: gaps are three weeks old and pending decisions have piled up. Thirty minutes a week on a prepared briefing settles things while the gap is still small. With active agents, a weekly review of their actions is the minimum.
Then: last week’s decisions and their effect.
The concrete change: the briefing no longer costs half a day of compilation. The agent reads goals, remaining work, capacity, blockers, open decisions and risks, and drafts the state per goal, the signals off trajectory and the options for each pending decision. Three rules keep it useful: it cites its sources, it separates facts from proposals, and it never decides — in Stellary the briefing agent runs in supervised mode.
The sponsor, the project lead, the leads of the teams involved and, when AI agents execute work, the person who governs their roles and permissions. Beyond six or seven people the committee informs instead of deciding.
It prepares the briefing from the project data, with sources, so the committee arrives to decide rather than to understand. And it adds a question to the agenda: what did the agents do on their own, on proposal, and what was refused?

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