Overview of Engagements

It depends on the stage and the question. A deployment where adoption has stalled points to BEAR. A scale-up points to STAR. Governance questions point to B-GRIT, a single decision under scrutiny points to BOLD and oversight of an AI agent points to HOLD. If the situation fits several, a 30-minute conversation settles it.

Yes. BEAR Snapshot is a survey-only entry point. BOLD reviews a single decision in 3–5 business days. B-GRIT's Behavioral Drift Scan runs 10 days. Each gives a concrete finding before any larger commitment.

BEAR diagnoses why adoption has stalled in a deployed system, in 21 days. STAR starts from a successful pilot and goes further, translating diagnostic findings into behavioral requirements and then redesigning workflows, interfaces, change mechanisms and governance for enterprise-wide use.

BOLD audits one human–AI decision against a reasonableness standard, whatever the outcome. B-GRIT builds or evaluates the governance system as a whole, looking for drift between intended and actual behavior. HOLD stress-tests whether the people overseeing an agentic system can do it.

No. They examine the human side: how people interpret, rely on, override and oversee the system. Model accuracy, data quality and the structural scope of what an AI is allowed to do are separate questions, which these engagements depend on but don't audit.

No. B-GRIT supplies the behavioral layer that standards such as NIST AI RMF, ISO/IEC 42001 and the EU AI Act don't explicitly provide, testing whether compliant governance is followed in practice. None of the engagements certifies conformity or provides legal advice.

Change management and training assume the barrier is knowledge or motivation. These engagements test that assumption, measuring the behavioral conditions that shape reliance and identifying which failure mode is present, such as over-reliance, avoidance, shadow workflows or performative review. The interventions then target the mechanism found, not a generic program.

It is Behavieural's framework for measuring the behavioral conditions that shape trust, reliance and oversight, with an accompanying survey instrument, the AI Trust Axis Scale. The scale is currently under peer review, and its scoring methodology is proprietary.

It varies. BEAR and B-GRIT involve a survey, short conversations with users and observation of real workflows. B-GRIT also reviews existing governance documents and works with a group of operational, risk and compliance staff. BOLD needs the system record for the specific decision and access to the people involved. Scoping at the start identifies exactly what is needed.

No. The work applies wherever people use or oversee AI, including healthcare, financial services, higher education and manufacturing, as well as organizations outside regulated industries.

Yes. STAR serves both. For vendors, it shows how users experience the product under operational pressure and which design and workflow changes support appropriate reliance. BEAR Snapshot is also suited to vendors whose customers aren't using their tools.

Cost depends on the engagement and scope, and is discussed after an initial conversation.

Each ends with specific deliverables, such as a failure mode map, a remediation plan, a Verdict or a transformation roadmap. Many organizations continue: a Snapshot can lead to a full BEAR, a BOLD pattern can lead to B-GRIT or BEAR, and STAR includes quarterly post-scale optimization.