Who Decides? AI, Humans and the Future of Asset Management
Where should AI end, and human judgement begin, in asset management?
A community-led AMCouncil inquiry. Over five webinars, the asset-management community decides — decision by decision — what AI should do, what humans must keep, and what evidence is needed before we trust the outcome.
2/5
Webinars complete
7
Living outputs
534
Boundary votes
1187
Responses captured
The Human–AI Boundary Framework
The boundary between AI and human judgement isn't set by the technology — it's a governance choice, drawn decision by decision across the asset lifecycle.
We practise what we’re testing
This inquiry is run the way it argues for. AI does the heavy lifting — gathering research, drafting and summarising the room — but the judgement stays human. Volunteers from the asset-management community hold the boundary: theydecide what’s authoritative, what gets adopted, and where AI’s role ends.
It's not what AI can do
It's what AI should do at each decision — knowing the asset, judging its condition, planning the spend, directing the work — and what humans must keep.
The boundary moves with the stakes
Cleaning a data field and authorising a field intervention are not the same call. How far AI goes should rise with the risk and the consequences.
The community draws the line
Across five workshops, your votes, cases and disagreements become Version 1.0 of the framework — seven living outputs.
The seven living outputs
What this inquiry produces. Each publishes here, read-only, once a named human signs it off — nothing is official before then.
Decision Rights Matrix
Not startedPer asset decision: the AI-role band and the human rights that must be retained.
Boundary Framework
Not startedThe principles that govern where AI ends and human judgement begins.
Lifecycle AI Map
Not startedWhere on the asset lifecycle AI is helping, and how far it should go at each stage.
Boundary Questions Toolkit
Not startedThe questions to ask before trusting an AI output enough to act on it.
Failure Modes Library
Not startedNamed ways AI quietly goes wrong on asset data — so they can be designed out.
Open Questions Register
Not startedThe unresolved tensions the community is still arguing about.
Recommendations
Not startedWhat AMCouncil will ask of members, vendors and regulators. Drafted at W5.
Share a case
Tell us where AI helped — or could have hurt — how you know your assets. Members can add real examples to the case library; every submission is reviewed before it’s published.