BEAR

Diagnose why AI adoption stalls—and restore trust in 21 days.

BEAR (Behavioral Evaluation & Adoption Risk) is a 21‑day behavioral diagnostic that reveals why technically-strong AI systems fail to gain traction in real workflows. By measuring how real users interpret, test, and rely on AI under pressure, BEAR uncovers the behavioral failure modes—hesitation, overrides, shadow workflows, quiet abandonment—that undermine adoption and provides a clear, evidence‑based blueprint to stabilize appropriate reliance.

  • Who it's for.

    BEAR is built for organizations that have deployed an AI system but aren’t seeing the adoption, trust, or workflow integration they expected. It’s ideal when teams notice hesitation, inconsistent use, overrides, or quiet workarounds—even though the AI itself performs well. BEAR serves leaders who need behavioral clarity: product owners trying to understand inconsistent reliance, operations teams facing workflow drift, and governance or risk functions needing evidence about fairness perceptions, accountability concerns, and trust stability. It’s for organizations that recognize that adoption challenges are fundamentally behavioral, not technical.

Start a Conversation

What makes BEAR distinctive.

  • AI Trust Axis Measurement

    Quantifies Cognitive Alignment, Autonomy Safety, Fairness Comprehension, Interaction Effort, and Failure Recovery Intelligence.

  • Multi-Method Behavioral Evidence

    Combines surveys, targeted engagements, and workflow observation.

  • Behavioral Failure Mode Map

    Links observed behaviors (hesitation, overrides, workarounds) to underlying trust breakdowns.

  • Reliance Stability Score

    A quantified assessment of behavioral health and drift risk.

  • What it entails.

    BEAR is a 21‑day behavioral diagnostic that immerses itself directly into real workflows. It begins by measuring how users think about, interpret, and rely on the AI system through a structured behavioral scale. From there, BEAR conducts targeted conversations that probe mental models, expectations, and accountability concerns that shape day‑to‑day decision‑making. The engagement also includes direct observation of real workflows, capturing the subtle behaviors—hesitation, overrides, workarounds, quiet abandonment—that traditional adoption metrics never reveal. All evidence is synthesized into a behavioral failure‑mode map and a reliance stability profile, culminating in a clear, prioritized blueprint for stabilizing appropriate reliance and restoring trust.

Typical engagement timeline.

  • Week 1—Discovery

    Survey deployment, targeted conversations, workflow observation.

  • Week 2—Analysis

    Statistical modeling, triangulation, behavioral risk profiling.

  • Week 3—Blueprint

    Intervention design, executive synthesis, stabilization roadmap.

  • What you walk away with.

    BEAR leaves you with a complete behavioral evaluation of your AI deployment, built from 21 days of structured measurement, targeted engagements, and workflow observation. You receive a diagnostic report that maps the behavioral failure modes undermining adoption, organized through the five dimensions of the AI Trust Axis. This includes a clear picture of where cognitive misalignment, autonomy concerns, fairness misunderstandings, interaction friction, and recovery expectations are creating hesitation, overrides, or reversion to manual processes. BEAR concludes with a set of targeted, behaviorally‑grounded interventions that show exactly how to stabilize appropriate reliance and reduce adoption risk in the near term. It is a concise, evidence‑based package that explains why adoption is stalling and what must change for trust and reliance to recover.