How to Spot and Reverse Client Disengagement
What if your AI project starts slipping—not because of technical issues, but because of something harder to detect: disengagement?
The signs are easy to miss: delayed responses, fewer people in meetings, holdups in decision making. These small clues could be innocent, but beware. They could be the first warning signs of AI project failure.
Based on real project experiences, here are four early signals that things might be going off track - plus practical steps you can take to keep your initiative moving forward.
1. The “Voluntold” Team
The kickoff went smoothly. You had a diverse group of internal team members, everyone seemed cooperative, and things moved forward. But a few weeks in, you start to notice… no one’s really leaning in.
The tasks get done, but there’s no energy. Few questions. No initiative.
We’ve all been there. When I look back, it nearly always happens when I failed to check how the team felt about being on the project in the first place.
What might be going on?
Sometimes people are assigned to projects without knowing why. They’re juggling full workloads, and while leadership may be excited, the team isn’t sure what success looks like for them.
What’s helped:
Early on, I have started asking each team member a simple question: “What would make this project worth your time?”
It opens up a conversation about goals, fears, and expectations. Especially on AI projects - where people may quietly worry they’re helping automate themselves out of a job - it helps to create space for real talk. When people feel safe and heard, engagement improves.
2. The Disappearing Stakeholders
The kickoff was packed. Everyone - from junior staff to senior leadership - seemed on board. There was real energy in the (Zoom) room.
Then a few weeks in, the rhythm shifted. A key decision stalled. Emails went unanswered. The junior team kept showing up, but the people with real authority… didn’t.
It’s easy to think: maybe they’re just busy. Maybe it’ll sort itself out.
But more often, these are signals that momentum is starting to slip.
What might be going on?
When everyone’s invited to every meeting, things get diluted. If senior leaders feel their time is wasted early on, they often stop showing up. Not out of malice - just triage.
What’s helped:
I have become very intentional with meeting formats. Weekly standups for the doers within the team. Crisp monthly updates for sponsors. Fewer people per meeting, with clearer asks.
And sometimes, a quick check-in helps: “Would it be easier if we sent brief updates unless there’s a specific need for your input?” Respecting their time tends to earn back their attention.
3. The First Bumps Kill the Buzz
At the start, everyone was buzzing. The project felt like a breakthrough - like something that would change the game.
Then came the first setback, and then the second. A thorny edge case, messy data, and some real-world complexity that burst the bubble.
Suddenly, that once-dream project feels impossible, and momentum stalls. And you’re wondering - what's next?
What might be going on?
Projects are never simple or straightforward - even when it looks like that at the outset. Normalizing challenges from the start is therefore important, so that setbacks become an expectation instead of a disappointment. Most problems are solvable - unless discouragement makes people give up too soon.
What’s helped:
I try to normalize challenges from the start, especially when things seem to go smoothly. Expect trouble. And when in serious trouble, I have had to stop and reset the narrative. “While it may not be what we hoped, it’s still worth doing because ...”.
Maybe it won’t hit the moonshot—but if the project can solve this key bottleneck or improve a process by 15%, that’s still a win. People are often willing to re-engage when the goal feels worthwhile and doable.
4. No Internal Budget for Change
You finally got approval. The project is funded, the contract is signed, and kickoff goes well.
But a few months in, you realize something’s off: every time internal work is needed, it is punted back to you. The heavy lifting is all on your shoulders.
I have seen this all too often - and it’s not usually about bad intent.
What might be going on?
Many firms have project budgets that only cover external costs. There’s no clear time, capacity, or plan for internal contributions.
What’s helped:
Mid-project, I have had success refocusing attention on what’s at stake. “When we started this project, you mentioned it was urgent because you are losing $2000/week on this issue, yet it seems the urgency is no longer there. Should we reprioritize?”.
And for future projects, I have learned to ask: “What resources are available within the firm to make this project happen?" And for each of the team members, "How much time have you allotted for this project?” Trust me, it is much easier to ask these questions upfront than midway through the project.
Spot the Warning Signs Before AI Project Failure Sets In
Client disengagement rarely happens all at once. It’s gradual, quiet, and easy to miss - until it’s too late.
But if you catch the signs early - and respond with curiosity, not blame - you can reset the course. Because no AI initiative succeeds without human commitment. And sometimes, all it takes is the right conversation at the right time to re-engage the team and reset momentum.
That’s what the Momentum Program is all about: supporting teams from start to finish in staying aligned, energized, and on track between milestones. If you’ve ever felt the early buzz fade too soon, you’re not alone. But you don’t have to lose momentum.