FindCurious is a podcast and blog for those who believe in the potential of better and are willing to ask the awkward questions, share failures, and dig deep-ish.

Search

Trust Is the Missing Metric in Your AI Rollout

Samuel
Sep 24, 2024
1 min read

AI adoption isn’t blocked by logic — it’s blocked by trust. If people don’t trust the system, they won’t use it. No matter how accurate the model is. No matter how elegant the UX is. Trust is the gatekeeper to impact.

And yet, most AI programs don’t measure trust at all. They track latency, load, and precision — but not whether users believe the system is working for them, not against them. That’s a critical blind spot.

Trust isn’t soft. It’s structural. It’s built when systems are transparent, when outputs are explainable, and when teams feel safe to experiment without being punished for machine generated error. Without this, AI becomes an imposed tool — something to avoid, bypass, or blame.

The result?

Shadow AI. Workarounds. Adoption plateaus. And your investment delivers a fraction of its value.

To fix it, make trust explicit. Track it. Design for it. Build systems that show their work. Give users visibility into how AI decisions are made—and how they can challenge them.

Trust is the metric that determines whether your rollout sticks or stalls. Start treating it like one.