Toward AI-enabled FM Leadership

The six themes and five cross-cutting insights point toward a clear leadership agenda for AI-enabled facility management. AI should not be treated as a single implementation project or a technology upgrade. It should be approached as a staged maturity journey.

The challenge for FM leaders is to move from curiosity and experimentation toward responsible adoption, embedded capability and operating model transformation. This requires attention to the conditions that make AI useful: purpose, data, governance, people, sustainability and organizational design.

A practical roadmap can be understood across three horizons.

Now, establish the foundations

The immediate priority is not to deploy AI everywhere. It is to establish clarity.

FM leaders should begin by defining where AI can create meaningful value. This means connecting AI to real FM pain points, business priorities, data availability, and measurable outcomes. It also means resisting the temptation to adopt AI because it is fashionable.

At this stage, leaders should focus on:

Foundation	What this involves
Purpose	Define why AI matters for FM and what outcomes it should support.
Use case selection	Identify a small number of practical, high-value opportunities.
Data readiness	Map existing data sources, gaps, owners and quality issues.
Governance	Establish guardrails around data use, privacy, cybersecurity, accountability and approved tools.
Leadership alignment	Ensure senior leaders understand the strategic purpose and risks of AI adoption.

Next, build capability & scale responsible use

Once the foundations are in place, FM leaders can begin to build capability and scale responsible experimentation.

This is where AI moves from discussion to practice. Teams need opportunities to test use cases, understand limitations, develop prompt capability, interpret outputs and learn how AI can support real FM work.

At this stage, leaders should focus on:

Capability area	What this involves
AI literacy	Help FM teams understand what AI can and cannot do.
Safe experimentation	Create sandbox environments and controlled pilots.
Use case learning	Share practical examples across teams and functions.
Knowledge capture	Use AI to preserve institutional knowledge and support onboarding.
Responsible scaling	Move successful pilots into wider practice with governance and measurement.
ESG application	Apply AI to smart buildings, space optimization, asset life cycle, energy and circularity.

Future, reimagine the AI native FM organization

The long-term opportunity is not simply to automate existing FM processes. It is to rethink the FM operating model.

By 2035, AI may change how FM teams are structured, how services are delivered, how suppliers are managed, how performance is measured, and how users experience buildings and workplaces.

At this stage, leaders should focus on:

Operating model area	What this involves
Structure	Explore whether FM should move toward shared services, centers of excellence or more integrated delivery models.
Systems	Reduce segmentation across platforms, services, data and workflows.
Measurement	Shift from activity-based KPIs to value-based outcomes.
Experience	Use AI to improve responsiveness, personalization, hospitality and user experience.
Cyber resilience	Embed cyber support into FM operations and connected building systems.
Strategic role	Position FM as an integrator of buildings, data, people, sustainability, risk and organizational value.

Roadmap summary

Stage	Main message
Now	Define the purpose of AI, understand the data foundation and create responsible governance.
Next	Build workforce capability, test practical use cases and scale what works.
Future	Redesign FM as an integrated, data-based, experience-driven, value-focused function.

The roadmap reinforces the central argument of the report: AI- enabled FM is not simply about adopting new tools. It is about developing the maturity to use AI with purpose, trust, data, people, sustainability, and strategic intent.

International Facility Management Association (IFMA) supports over 26,000 members in 140 countries. Since 1980, IFMA has worked to advance the FM profession through education, events, credentialing, research, networking and knowledge-sharing.