Building the AI is the easy part.
Getting people to trust it, adopt it, and stay with it is where transformation lives or dies.
The differentiator is not going to be a tool or a capability. It is going to be your AI-powered workforce.
Participant, Fireside Chat, Axtria Ignite 2026
Building the diagnostic is one thing. Knowing whether you’ve scaled is another.
AI strategy and analytics leaders don't struggle to build. The harder job is proving, with imperfect data, whether a capability is moving the business.
- You defend a metric you cannot fully isolate. Early and late signals look similar until you separate resistance to change from real product failure.
- Your capability metrics look strong, and the business outcome hasn't moved. A model can work well and still fail to move revenue, share, or patient impact.
- You tell the board no peer has cracked this yet and still ask for budget. You have no benchmark to defend your roadmap against.
- You plan for half your portfolio to fail, and you own that number. It is the honest strategy, not a shortfall.
What if every model gets built, and the story never connects?
My biggest fear, if I am being transparent, is that we get siloed. We build in isolation, then expect the pieces to connect, and they don't.
Participant, Fireside Chat, Axtria Ignite 2026
The way through is leading with the end user from the start. When the field is part of the journey, trust builds along the way, and that trust buys patience when the first version isn't perfect.
So the real question: how do you build trust up front, and especially with AI?
The advantage is resilience, not tooling
Stop competing on technology everyone already has. Compete on focus: pick one part of the value chain to rebuild, plan for a 50% success rate, and keep working it.
Inside the report
The diagnostic that separates change resistance from real failure, the vocabulary for defending a metric to the board, and the math behind planning for a 50% success rate.
Read the part of AI transformation the roadmaps leave out.Download the full report for the adoption playbook, in the leaders' own words.
Who it’s for
Written for the VP+ leader in Strategy and Analytics or Commercialization AI, accountable for proving an AI transformation moves the business.
FAQs
