Building trust in AI through behavioral science.
Diagnose and solve the behavioral risks that derail AI adoption before they surface as liability, trust erosion, or deployments that never reach full value. Behavieural approaches workflow design, change management, and governance with behavioral science—powered by our proprietary AI TrustArc®—to eliminate the behavioral failure modes traditional approaches can’t touch.
The last mile of AI adoption.
The model works.
The workflow is mapped.
Training is done.
Leadership is aligned.
Governance is in place.
And yet adoption stalled?
That's a behavioral problem.
That's what we solve.
Problems we solve.
Are you experiencing any of the following months after AI deployment?
Clinicians and staff who complete training but build workarounds within weeks.
Shadow AI use that bypasses governance before anyone knows it's happening.
Alert fatigue that turns critical signals into background noise.
Handover points where AI-generated outputs get quietly ignored or manually overridden.
Delegation failures where accountability for AI decisions becomes unclear under pressure.
The behavioral gap between what the system recommends and what gets documented, acted on, or escalated.
These aren't edge cases. They're predictable behavioral failure modes. They're diagnosable before they become patient safety or liability events.
Our advisory approach.
Behavioral risk diagnostics and advisory for organizations where AI is deployed but adoption isn't landing.
Planning deployment? Identify behavioral barriers before deployment so rollout is built on what users will actually do, not what they say they'll do.
Already deployed? Identify where and why AI adoption is failing across multiple behavioral dimensions of AI use and trust.
In all cases, surface the behavioral gaps between what leaders believe about adoption and what frontline behavior actually shows.
Every engagement ends with a prioritized action plan—specific, sequenced steps to close the behavioral gaps costing you adoption, value, and ROI.
Insights in your inbox.
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A newsletter for leaders and practitioners navigating AI deployment in the real world. Each issue of our official LinkedIn newsletter tracks emerging behavioral risk patterns—workarounds, override trends, adoption gaps, trust failures—and translates them into implications for organizations where AI is already live or on the way.
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One behavioral insight. One implication. One action. Behavioral Patch is a weekly signal for people who want the science without the noise—a single, focused idea from behavioral research applied directly to how AI gets adopted, trusted, or rejected in practice.
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A long-form newsletter for readers willing to sit with uncomfortable questions. Each issue takes a widely held assumption about AI, adoption, or human behavior—and stress-tests it. Not contrarianism for its own sake. Rigorous reexamination of the ideas the field keeps treating as settled.
Why behavioral science?
Other advisory approaches stop before the hardest question: why aren't people using it? Indeed, AI adoption fails for human reasons. Behavioral science is built to find them.
A model can be technically sound and still not get used.
A process can be perfectly redesigned and mapped and still not get followed.
People can complete training and still not change how they work.
Rules and accountability structures can be airtight and still not predict frontline behavior.