Why Hardworking FM Teams Still Fail: A Conversation with Jon Blakely, IFMA Leader

Most facility management teams have plenty of effort behind them and not nearly enough structure, and that gap stays invisible until it turns into an emergency invoice, a blown vendor contract, or a building nobody planned for.

That's the argument running through this conversation, made by someone who has spent his career inside the rooms where FM strategy gets decided.

Jon Blakely is an IFMA leader and a leading executive facility management consultant. He advises organizations on FM maturity, operational structure, and increasingly on where AI does and doesn't fit into the future of the profession. He built his reputation by telling clients what's broken instead of selling them hype, even when that answer is less exciting than a new tool.

We spoke with Jon about FM maturity, reactive maintenance, CMMS data, hidden risk, and where AI stands in the industry right now. No matter which angle we came at it from, the same argument kept surfacing: systems beat ambition, every time.

This is part of Facilio's ongoing conversations with the practitioners who run and advise on facility operations day to day, people who've seen what breaks and why.

Note: Jon's responses have been lightly edited for length and flow.

Maturity in FM shows up long before a crisis proves it.

Mature FM shows up in the calendar and the conversations, Jon says. Planned work dominates the schedule, vendors are held to clear standards, and leadership asks "what's coming next?" instead of "what just broke?"

Reactive operations, by contrast, live in the inbox and the radio, with priorities shifting by the hour. Nobody can produce a simple, trusted view of risk, backlog, and spend.

"The right systems free leaders to think strategically instead of firefighting constantly; structure is the prerequisite for sustainable performance."

Wanting to be preventive and funding it like a priority are two different things.

Two things keep organizations stuck, according to Jon:

"Reactive maintenance is always more expensive than proactive, in dollars, downtime, and organizational trust. Deferred maintenance is a risk management failure, not a budget strategy."

Most FM teams sit on mountains of CMMS data that never gets acted on.

Jon argues most CMMS data sits like a warehouse instead of telling a story. Work orders, asset histories, and costs are technically there, but they aren't structured to answer the real questions leadership asks: what's the risk, what's predictable, what's the return. The real gap is translation, not collection — FM teams log tasks while leaders need patterns. Until someone owns turning raw data into a small set of decision-ready insights, the CMMS stays a digital filing cabinet.

Getting a real picture of performance means connecting four things, according to Jon:

Connect those four, and the dashboard becomes useful instead of decorative. Jon warns that green dashboards can mask a mess when too many KPIs dilute accountability. The fix is fewer, sharper metrics — not more of them.

The riskiest problems in FM, according to Jon, rarely announce themselves. They build slowly, compound over time, and stay easy to explain away until they aren't:

By the time leadership feels these risks, they've already turned into emergency spend, reputational damage, or a sudden loss of capacity.

Jon frames this almost biologically. Buildings move through growth, maturity, and decline the way people do, and each stage needs different care. Preventive attention at the right lifecycle phase is what extends useful life and protects the organization's money.

Jon doesn't play into the AI-in-FM hype cycle the way plenty of advisors do.

AI adoption sits in what he calls "serious curiosity" right now. Clients bring it up in nearly every strategic conversation, though their posture varies — some actively testing it for work order triage or anomaly detection, others wanting a roadmap before buying anything, and the rest waiting for proof it'll integrate cleanly instead of adding noise. Across all three groups, nobody wants AI for AI's sake. They want fewer surprises and faster, clearer decisions.

When automation comes up, Jon sees people asking for relief in three places first:

Jon draws a clear line between where AI already delivers and where it's overhyped.

That's worth sitting with, because AI doesn't rescue a broken operating model. It shows the cracks in higher resolution, faster.

We asked Jon what a benchmark report would say if it had to tell one uncomfortable truth about FM today. He didn't soften it.

Teams and vendors alike are working hard, but without a clear operating system, aligned expectations, and honest data, organizations normalize the chaos and call it "the nature of facilities."

As Jon puts it, most FM problems start with misalignment rather than equipment failure, and when vendors, teams, expectations, and priorities fall out of sync, costs rise and decisions slow down.