Artificial intelligence is entering asset management quickly. It can read documents, interpret images, detect patterns, forecast deterioration, support maintenance planning, optimise investment options and generate summaries at speed.
But asset management is not just a technical discipline. It is about making decisions that affect value, risk, cost, performance, safety, service, sustainability and communities.
That raises a more important question than “What can AI do?”
The question is:
Across the asset management lifecycle, what should AI do, what should humans do, and where should the boundary sit?
The Asset Management Council is launching a community-led project to explore this question with members, volunteers and asset management professionals across sectors.
We are not starting with fixed answers. We are inviting the asset management community to contribute practical experience, case studies, concerns, lessons and professional judgement.
The project will examine AI across key asset management decision areas, including:
- Knowing the asset
- Understanding condition, performance and risk
- Planning, prioritisation and investment
- Work, operations and intervention
- Governance, accountability and trust
- Future asset management capability
The outcome will be a living AMCouncil knowledge product:
“The Human–AI Boundary Framework for Asset Management”
This will be supported by:
- Lifecycle AI map
- Member case library
- Decision rights matrix
- Practical boundary questions
- Open questions register
- Recommendations for responsible AI-enabled asset management
We are especially interested in practical examples:
- AI use cases already underway
- Pilots that worked
- Pilots that did not deliver expected value
- Decisions where AI may help
- Decisions that should remain human-led
- Concerns about data, trust, safety, accountability or capability
This is a chance for AMCouncil members to shape an important professional conversation.
AI will change asset management. The AM community should help define how.
Register for workshops in this series
Participants are welcome to attend one or more workshops. Each session will focus on a different asset management decision area and help shape AMCouncil’s Human–AI Boundary Framework for Asset Management.
Workshop 1: Knowing the Asset – Thursday 25 June – Register here
Workshop 2: Condition, Performance and Risk – Wednesday 1 July – Register here
Workshop 3: Planning, Prioritisation and Investment – Wednesday 15 July – Register here
Workshop 4: Work, Operations and Intervention – Thursday 30 July – Register here
Participant Expectations: Attend one or more online workshops, respond to live polls, contribute questions or comments, complete a short post-session survey
Benefits to Participants: 1hr CPD point per online workshop, access to workshop notes, exposure to collective emerging AI-in-AM thinking, chance to shape AMCouncil guidance, opportunity to hear cross-sector examples