Measuring What Matters: AI Adoption
You’ve invested in AI. The models are live. The tools are ready. But adoption is lagging. Why?
Because AI adoption isn’t a technical challenge—it’s a behavior change problem.
That’s where most companies get stuck. They launch pilots, review dashboards, and wait for results. But without clear, actionable measurement tied to human behavior, they’re flying blind.
At Synaptiq, we’ve seen firsthand that meaningful measurement is the missing link between AI deployments and lasting impact. In this article, we’ll lay out a practical, people-centered framework for tracking AI progress in a way that improves decisions, surfaces friction, and builds a system of continuous improvement.