A GenAI Trust & Adoption Diagnostic for AI Products Where Trust Matters
A short, executive-level diagnostic to surface adoption, trust, and governance risks in AI-enabled experiences — before they turn into stalled adoption, reputational damage, or regulatory pain.AI adoption is booming, but user trust isn’t keeping pace.
Many leaders are flying blind: they know something feels off with AI outcomes, but can’t put their finger on where trust erodes—or why adoption stalls.
Our GenAI Trust Audit is the answer for product teams who can’t afford to guess.
It’s a focused, evidence-based review that pinpoints where your AI features fall short on the things that matter most: permission, explainability, user control, and behavioral alignment.
Discuss whether this diagnostic is right for your product.
What This Diagnostic Clarifies for Leadership
In a short, focused working session, leaders walk away with clarity on:
Where users may quietly lose confidence in AI outputs — even while usage, performance, or accuracy metrics suggest everything is working
Where AI interpretation or automation may unintentionally distort user intent, oversimplify complex human input, or create unclear boundaries around user control and consent
Which trust risks are real and urgent — and which can safely be deprioritized
Where small design, language, or governance shifts could materially improve adoption and long-term trust
This is not a technical audit.
It’s a decision-support diagnostic for teams operating where trust, agency, and human impact are inseparable.
How We Assess AI Trust & Adoption
We evaluate AI-enabled experiences through five trust dimensions:
Value & Impact – Is AI value clear, meaningful, and credible to users?
Reliability & Transparency – Can users understand, predict, and recover from AI behavior?
Adoption & User Control – Do users feel represented and retain agency?
Alignment & Governance – Are product, legal, and leadership aligned on trust decisions?
Ethics, Fairness & Security – Do users feel safe, respected, and treated fairly?
In healthcare and patient-centered contexts, Adoption & Control often expands into two critical lenses:
Patient-Centric Design (Dignity) – Does the experience preserve human voice and lived reality?
Patient Input & Control (Agency) – Do users retain meaningful influence over how their data and stories are used?
Adoption follows when both are present.
Why This Audit?
See failure modes before they go public.
Recent AI-powered SaaS incidents (data leaks, “assumed solved” tickets, black box answers) have proven one thing: classic QA and uptime SLAs miss where trust actually breaks.
Confidential, actionable, and grounded in live user journeys.
We don’t just read your docs, we simulate real, high-stakes use cases across roles, and flag what traditional test scripts miss.
No canned checklists, no vendor scare tactics.
Every audit is tailored to your product, your user personas, and the moments that matter for your business.
Who’s It For?
CPOs tired of guessing why users “ghost” AI features.
CTOs who need evidence their models respect permissions and privacy boundaries.
Lead PMs ready to ship features users actually trust—and can prove it.
Curious what we’ll find in your product?
You won’t get a generic checklist. You’ll get a prioritized, confidential action plan to close the trust gaps—before they turn into headlines.
For teams seeking broader UX clarity beyond AI-specific risks, see our Focused UX Audit. These services are part of our Experience Innovationoffering.
Let’s talk.Book a Call
Or email me directly at Allexe.Law@ArtScienceGroup.com.
Your users (and your legal team) will thank you.
