BEAR (Behavioral Evaluation & Adoption Risk)

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

BEAR 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.

Download the Engagement Brochure

Who BEAR is for.

  • Product Owners & AI Deployment Teams

    For teams whose AI tools work technically but aren’t being used as intended.

  • Operations Leaders

    For leaders who see workflow drift, inconsistent reliance, or unexplained overrides.

  • Risk & Governance Functions

    For organizations needing behavioral clarity beyond technical metrics.

  • Executive Sponsors

    For decision-makers who need to understand why adoption is stalling and how to fix it.

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 the engagement entails.

  • Structured Survey Deployment

    Uses validated constructs and statistical analysis to identify behavioral patterns.

  • Targeted User Engagements

    Short conversations probing mental models, expectations, and accountability concerns.

  • Workflow Observation

    Real-time documentation of how users follow, override, or avoid AI recommendations.

  • Blueprint Development

    Prioritized interventions tied directly to diagnosed failure modes.

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.