For CPOs, VPs of Product, and Enterprise AI Leaders

Build AI Products People Actually Trust.

Rigorous quantitative and qualitative research uncovering why users and employees adopt—or abandon—your AI systems. No psychological tricks—just demonstrably trustworthy product design.

73%

of enterprise AI drop-offs stem from agency loss.

3.4x

higher 90-day retention with engineered Control Gates.

15

point diagnostic framework across Safety, Agency & Quality.

The Framework

The 3 Pillars of AI Trust

Every engagement is evaluated against three pillars—the foundation of demonstrably trustworthy AI products.

01

Agency

User Sovereignty & Control

  • Parametric controls
  • Interim state inspection
  • Non-coercive overrides
  • Commit gates
  • Co-authorship attribution
02

Safety

Risk Mitigation & Guardrails

  • Uncertainty boundary signaling
  • Sandboxed execution
  • Reversible action loops
  • Data boundary visibility
  • Anti-sycophancy UI
03

Quality

Utility & System Predictability

  • Source lineage & provenance
  • Domain context grounding
  • Adaptive output density
  • Predictable latency
  • Graceful degraded modes
Coming Soon

The AI TrustPodcast

Unfiltered conversations at the intersection of AI product strategy, user agency, and global research scale.

Sanchita Ray, co-host of The AI Trust Podcast

Co-host

Sanchita Ray

SVP, Head of Research at Alibaba Group

Global research leader spanning CX, user psychology, and data science. Uncovering deep quantitative and qualitative adoption insights across hundreds of millions of enterprise and consumer users.

Paul Bryan, co-host of The AI Trust Podcast

Co-host

Paul Bryan

Founder, Reset Institute & Producer, STRAT

13+ years leading global AI product and UX strategy workshops for teams at Google, Netflix, and Meta. Author of K-Shaped Human Evolution and advocate for human sovereignty in AI product design.

Why Listen

Every episode dissects the hard data behind user trust—moving beyond AI hype to examine what makes products genuinely safe, useful, and empowering.

Featured Research Report

The Agency Paradox: Why Frictionless AI Destroys Long-Term Product Retention

For two decades, software PMs eliminated friction. But in generative AI, 1-click "magic" creates black-box anxiety. When users lose agency, trust crashes after the first hallucination. Research shows that engineering "productive friction" (Control Gates) increases 90-day retention by up to 3.4x.

Traditional 1-Click Flow

Input→
Black Box→
High Anxiety Output

High-Trust Agency Flow

Input→
Scope Gate→
Interim Review→
Verified Output

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Methodologies

Mixed-methods research, end to end

We pair qualitative depth with quantitative rigor—across internal employee programs and consumer-facing apps.

Qualitative

Why people trust—or walk away

  • In-depth behavioral interviews
  • Telemetry-backed usability testing
  • Cognitive walkthroughs
  • Trust-breakdown friction mapping

Quantitative

Measurable trust, at scale

  • Scale-validated trust index benchmarking
  • Statistical drop-off analysis
  • Feature adoption surveys
  • Automated sentiment tracking

Our Philosophy

Tricks are not trustworthiness.

Trust built on manipulation collapses under scrutiny. We design for the kind of trust that survives real use.

Surface-Level Trust Hacks

  • Dark patterns
  • Artificial empathy
  • Hidden confidence scores
  • Opaque automation

Product-Level Trustworthiness

  • Granular human agency
  • Verifiable quality metrics
  • Safety by architecture
  • Transparent feedback loops

Solutions

Two surfaces. One trust discipline.

Trust failures look different in a customer product than in an internal program. Our approach adapts to both.

01UX friction mapping
02Scale-validated trust index benchmarking
03Retention telemetry

Interactive Audit

The 15-Heuristic AI Trust Self-Assessment

Rate each heuristic from 1 (Absent / High Risk) to 5 (Fully Integrated / High Trust).

Agency

Parametric Control
Interim State Inspection
Non-Coercive Overrides
Granular Commit Gates
Co-Authorship Attribution

Safety

Uncertainty Boundary Signaling
Sandboxed Execution
Reversible Action Loops
Data Boundary Visibility
Anti-Sycophancy Architecture

Quality

Source Lineage & Provenance
Domain Context Grounding
Adaptive Output Density
Predictable Latency
Graceful Degraded Modes

AI Trust Audit

Ready to Eliminate Your AI's Trust Deficit?

Schedule an initial 45-minute AI Trust Audit. We'll evaluate your current product touchpoints against our 3 Pillars Framework.

  • 45-minute working session with a senior researcher
  • Pillar-by-pillar read on your current touchpoints
  • Concrete next steps you can act on immediately