The AI Enterprise Adoption Pilot
From individual AI adoption to a team-wide RAI operating system that ensures design, product, and engineering collaborate to minimize AI risks by working together to shape AI model behavior. Eight weeks. One product team. Proven before it scales.
Book a Working SessionPrinciples on a Poster Don't Govern Anything
Your teams are adopting AI individually while model behavior is defined ad hoc, discipline by discipline. What's missing is a constitution: principles made operational, with rules, tests, and a cross-functional workflow that makes them real in daily work, before the habits harden and the harm ships.
Eight Weeks, Three Phases
Your leaders author it. The framework structures it. We facilitate it. Ownership stays inside your company from day one.
Foundations
Weeks 1 to 3Facilitated values and principles sessions with your executive sponsor and functional leaders.
Output: your ratified company-level AI constitution.
Build
Weeks 3 to 6One product team drafts operational rules, tests, and a system-level behavior spec. We install the cross-functional co-authoring ritual with design, product, and engineering.
Output: the new way of working, running live.
Prove
Weeks 6 to 8The constitution runs through two release cycles with real ship decisions.
Output: evidence of what held, plus the roadmap to cascade it company-wide.
Three Documents Replace the Old Ones
The PRD, the design brief, and the tech spec were built for deterministic software. AI products need documents that specify behavior, boundaries, and verification, each with one owner and three signatures.
The AI Product Spec
Adds scope boundaries, autonomy levels, and failure modes to the business case. Design and engineering co-sign.
The Behavior Spec
Response examples, tone, refusal behavior, and edge cases, written to be executable. Product and engineering co-sign.
The System Spec
Model configuration, the eval harness, and regression tests for every model update. Design and product co-sign.
The Pilot Leaves Infrastructure, Not a Slide Deck
- A ratified AI constitution: values, principles, rules, and tests (VPRT™)
- AI Product Spec, Behavior Spec, and System Spec templates
- The co-authoring ritual installed and running in one product team
- A tested cascade roadmap for company-wide rollout
- Internal ownership: your leaders author it, the framework structures it
Every Layer, Built Inside Big Tech First
Founder Ovetta Sampson built each layer of this operating model inside the industry's best rooms before assembling them into the Constitution Cascade™.
Principles · IDEO
Co-created IDEO's AI Ethics principles and cards. In-house counsel assessed that adopting them would substantially align companies with EU GDPR.
Process · Microsoft
Created the Customer Engagement Program uniting design, engineering, and product. 15+ engagements in 18 months, linked to more than $186MM in business impact.
Governance · Capital One
As VP of Machine Learning Experience Design, built the bank's Responsible AI principles with operational rules and cross-functional accountability.
Measurement · Google
Executive sponsor of the model metrics and lineage team. Google's first cross-platform ML velocity metric, work presented to Alphabet's board.
Design without governance is charming risk. Governance without technology is paperwork. Technology without design is harm at scale. The pilot installs all of it, together.
What Comes After
The pilot proves the model. Phase 2 cascades it company-wide, scoped from pilot findings. Many clients continue with a Fractional Chief AI Officer retainer to lead the rollout.
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