Who Decides? AI, Humans and the Future of Asset Management

Webinar 2Condition & Risk

✓ Held 1 July 2026 · Can AI tell us how bad it really is — and how much to trust the prediction?

What this webinar explores

Condition, Performance & Risk — the second decision in the arc. When AI reads an asset's condition, interprets its performance and scores its risk, where should its role end and human judgement begin? Prepare below: read the foundational research, draw your own line in the volunteer questionnaire, and explore how these processes look across three eras.

Watch first — set the question

A few short clips to set the question before you prepare. Condition, performance and risk — and the boundary that decides.

The asset degrades, the AI rates it green, and that prediction becomes the decision. No human validates it; no one accepts the residual risk. The technology didn't fail — the boundary did. So where should it have been?

1 · Foundational research

Read before the session — a shared floor to form your own view.

A theory-forward research pack — 7 dossiers (~54,000 words, ~300 sources) on condition, performance, risk and the human–AI boundary. A shared, cited floor to form your own view before the session — not a settled position.

Open the research index →The index is open to all · members read the full dossiers.
🔒 AMCouncil members can read the full foundational research. Sign in or join AMCouncil →

2 · Your input — the volunteer questionnaire

Where you draw the line. Sign in to add your answers or revise them — they save to your account.

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3 · Process flowcharts — three eras

How condition, performance and risk are done — traditionally, with AI today, and a possible future.

Each process — condition, performance, risk — drawn three ways: Traditional (no AI), Current (AI-assist), and a possible agentic future. A concept map to talk through where AI could sit.

🔒 AMCouncil members can explore the process flowcharts. Sign in or join AMCouncil →

What the room said

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What volunteers said

Aggregated answers from the volunteer questionnaire (section 2) — anonymised, and shown once enough people have answered.

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Three ways to take part

01

Attend a webinar

Join the live session from your phone — anonymously if you prefer. Vote on where AI's role should stop and what humans must keep.

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02

Contribute a case

Seen AI help — or quietly mislead — how you know your assets? Share it. It feeds the Failure Modes and Case libraries.

Share a case →
03

Join as a member

Members shape the framework — vote on every decision, submit your own cases and principles, and get the full results, research library and recaps.

Become a member →