The AI Trust & Adoption Diagnostic is designed as the first step in building scalable, defensible AI trust.
Some teams need focused clarity. Others uncover deeper structural risks that require broader engagement.
Below are the available pathways.
1. Executive Diagnostic
$2,500
Most teams begin here.
Designed for:
B2B SaaS platforms integrating or scaling AI features
Private healthcare SaaS products deploying AI into clinical or patient workflows
Teams preparing for enterprise procurement, renewal conversations, or broader rollout
What You Leave With
90-minute executive working session
Structured evaluation across five trust dimensions:
ROI & Business Value
Reliability & Transparency
Adoption & User Control
Alignment & Governance
Ethics, Fairness & Security
Prioritized Action Brief (8–12 findings ranked by exposure + urgency)
Clear categorization:
Address Now
Monitor
Lower Priority
60-minute leadership debrief
Delivery within 72 hours
What This Often Prevents
Quiet user abandonment
Slowed enterprise sales cycles
Revenue leakage due to stalled adoption
Reputational damage under scrutiny
Expensive post-launch correction
The goal is clarity, confidence, and informed decision-making before scaling further.
If expanded work is initiated within 30 days, the full diagnostic investment is credited forward.
2. Expanded Trust & Adoption Audit
$4,500
For teams facing higher exposure or multi-role complexity.
Best for:
Enterprise-facing AI platforms
Multi-role systems (e.g., admin + end user, clinician + patient)
Regulated or high-liability AI environments
Includes Everything in the Executive Diagnostic, Plus:
Evaluation of up to three user scenarios or roles
Deeper trust-signal and heuristic assessment
Governance and decision-log framework template
Trust-linked KPI guidance (what to measure next)
Executive alignment summary (board-ready format)
This engagement moves from risk identification to structured operationalization.
Strategic AI Trust Advisory
Custom Scope
For organizations scaling AI across products, departments, or markets.
Typical advisory work includes:
Governance alignment workshops
AI trust architecture integration into roadmap planning
Adoption barrier research
Human-in-the-loop workflow design
Enterprise procurement readiness support
Compliance-aligned experience strategy
Advisory engagements are scoped based on organizational complexity and risk profile.
How Engagements Progress
Most teams begin with the Executive Diagnostic.
From there, they either:
Address findings internally
Expand into a deeper Trust & Adoption Audit
Engage in ongoing strategic advisory
The diagnostic is designed to deliver immediate value — and clarify whether deeper work is warranted.
Start With Clarity
If you’re integrating or scaling AI and want to understand adoption, revenue, and reputational exposure before going further, the Executive Diagnostic is the right first step.
