BEAR Diagnostic
The BEAR (Behavioral Evaluation & Adoption Risk) Diagnostic is a 21‑day behavioral evaluation that uncovers why AI adoption has stalled or become unstable. It identifies the hidden friction points, trust breakdowns, and workflow behaviors that prevent reliable use, then provides targeted interventions to restore stable, confident reliance on AI.
When to use BEAR?
BEAR is designed for organizations experiencing:
AI tools that are technically sound but under‑used.
High override rates or inconsistent reliance.
Shadow workflows emerging after deployment Trust collapse following early errors.
Workflow friction that training didn’t fix.
Governance drift between policy and practice.
If the model works but the adoption doesn’t, BEAR is the right intervention.
Who is BEAR for?
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Healthcare Systems
Healthcare organizations rely on AI in high‑stakes, human‑in‑the‑loop workflows where hesitation, overrides, and trust breakdowns can directly affect patient safety. BEAR identifies the behavioral friction points that clinical training, workflow mapping, and governance often miss.
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Banks & Financial Services
Financial teams face adoption risks when AI recommendations conflict with risk perception, autonomy, or established judgment patterns. BEAR uncovers the behavioral drivers behind selective use, manual overrides, and shadow decision pathways.
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Insurance & Underwriting
Underwriters and claims teams often revert to manual judgment when AI outputs feel misaligned, opaque, or unfair. BEAR reveals the behavioral mechanisms behind inconsistent reliance and helps stabilize trust in automated decision support.
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Public Sector Agencies
Government teams operate under high scrutiny, complex accountability structures, and low tolerance for perceived unfairness. BEAR diagnoses the behavioral barriers that cause staff to avoid or bypass AI tools even when policy mandates their use.
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Enterprise Software Teams
Internal AI tools fail when employees don’t trust the system’s reasoning or feel it adds friction to their workflow. BEAR exposes the behavioral adoption risks that technical teams can’t see from usage metrics alone.
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AI Vendors & Product Teams
Vendors need to understand why customers adopt unevenly, override frequently, or abandon features after launch. BEAR provides a behavioral lens that strengthens deployment success, reduces churn, and improves product‑market fit.
What BEAR diagnoses.
BEAR uncovers the behavioral mechanisms behind stalled adoption, including:
Hesitation & second‑guessing.
Manual overrides & selective use.
Shadow AI use that bypasses governance.
Alert fatigue and cognitive overload.
Breakdowns at handover points.
Accountability confusion under pressure.
Trust collapse after early negative experiences.
These are not random failures—they are predictable behavioral patterns that BEAR makes visible.
Core deliverables.
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1. Behavioral Failure Mode Map
A structured analysis of the specific behaviors preventing reliable AI use—mapped to workflows, roles, and decision points.
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2. Reliance Stability Score
A quantified measure of how stable, predictable, and resilient human reliance on the AI system is across real‑world conditions.
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3. Behavioral Stabilization Blueprint
A targeted set of interventions to restore trust, reduce friction, and eliminate workarounds—designed for operational teams, governance leaders, and frontline users.
Engagement & timeline.
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Week 1: Behavioral Evidence Collection
Workflow observations.
User interviews.
Interaction pattern analysis.
Override and usage data review.
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Week 2: Behavioral Mechanism Mapping
Identification of friction points.
Trust dynamics analysis.
Failure mode classification.
Behavioral risk scoring.
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Week 3: Stabilization Blueprint
Targeted interventions.
Workflow adjustments.
Governance alignment.
Trust‑repair strategies.