Behavioral science for AI.

Models get validated. Policies get written. Then real people, under real pressure, use the system, ignore it, or over-trust it in ways nobody designed for. Behavieural helps organizations understand and design for that, with evidence.

90+

peer-reviewed articles in top academic journals. (Google Scholar)
Top 2%

of academic researchers worldwide for our Founder and Principal Strategist. (SCINET)
4

continents across which over dozens of engagements have been delivered: Asia, Australia, Europe, and North America.
EU

-recognized expert in the areas of AI adoption and behavioral science. (EPRS/EVAL/SER/25/008CEI)
TSI

Advisor to the Trust and Safety Institute, dedicated to building, assessing, and demonstrating trustworthy AI agents. (TSI)

Most AI Problems are People Problems That Look Like Technical Ones

AI systems rarely succeed or fail on technology alone. They succeed when people understand them, rely on them to the right degree, and can step in when something goes wrong. They fail when people avoid them, work around them, or defer to them without checking. These are behavioral patterns, and they can be measured and changed.

Most organizations track what is easy to count, such as usage, accuracy and compliance. Those measures describe the system but not the people around it: what they believe, what they do when no one is watching, and where policy and practice diverge. That is where adoption stalls, governance weakens, and oversight turns into a formality.

Behavieural applies behavioral science to how people trust, use and oversee AI, and turns that evidence into adoption, governance, and oversight that hold up in practice. The work draws on research in psychology and decision science, and it is offered as consulting, advisory, speaking and training.

Read "The Behavioral Premise" White Paper

Latest Thinking on AI & More

The Confidence Gap

An original survey of professionals who evaluate or oversee AI in healthcare, finance and manufacturing. Where leaders and users diverge, and what to do about it.

Read Report
Governing Agentic AI

Five behavioral mechanisms that shape the human–agent relationship, as a behavioral threat layer beneath the OWASP Top 10 for Agentic AI.

Read White Paper
AI Trust Axis

The AI Trust Axis is a behavioral framework for measuring how people come to trust and rely on AI systems. It breaks the human response into five dimensions, each tied to a recognizable failure such as overreliance, avoidance or performative oversight, and it produces scores for deployed systems and for readiness before deployment.

Read Framework
From Indicator to Claim

This white paper offers a method for reviewing AI standards, and the evidence offered under them, when the claim concerns human behavior. It shows how to read a requirement as a validity argument, which threats are specific to behavioral evidence, and how much evidence a given level of risk warrants. The method is unvalidated, and the paper recommends piloting it before it is relied on.

Read White Paper

Ways to Work Together

Advisory

Board and council seats, retainers and second opinions for leaders deciding how to deploy and govern AI.
Consulting

Diagnostics that measure the behavioral barriers to adoption and oversight, and the changes that remove them.
Speaking

Keynotes and executive briefings, with titles like "Agentic AI Has a Supervision Problem" and "AI Readiness Has a Behavioral Blind Spot."
Training

Workshops, cohorts and masterclasses that give teams practical behavioral tools.

Where Are You With AI?

Deploying AI

Tools are in place and adoption has stalled, or it works in one team and won’t spread. I diagnose why people aren’t relying on the system and design the changes that make use last.

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Selling AI

Customers show low usage, workarounds or misplaced reliance, and the risk lands on you. I locate where the breakdown happens between your product and its users.

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Governing AI

Policies exist, but you can’t show that people follow them or that human oversight is real. I measure whether governance and oversight work in practice and help build ones that do.

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Not Working with AI

Brand trust, crisis response and customer loyalty depend on the same behavioral mechanisms. The Great Canadian Brand Index, the STORM Framework, and related tools apply them.

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