Services
Three ways to start.
Most engagements begin with one of the three below. Where they go next depends on what we find.
Engagement type 1
AI Capability Audit
A structured assessment of what your AI systems actually do versus what they're claimed to do.
- → Document review — product pages, marketing claims, contract language, model cards, prompts, system policies.
- → Behavioral testing — targeted inputs against the deployed system to compare actual outputs against the stated capability.
- → Tier classification — every system reviewed lands in one of four tiers (Operational, Partial, Decorative, Gap).
- → Written report — findings, evidence, and recommendations in a format you can hand to a regulator, an acquirer, or your board.
Engagement type 2
Governance Diagnostic
A 10-question read of your current AI governance maturity, with a written assessment and prioritized next steps.
- → Self-serve online — takes about 10 minutes.
- → Written follow-up — a 2–3 page assessment within 5 business days.
- → Prioritized next steps — the two or three things to address first, with rough effort estimates.
- → No obligation — diagnostic stands alone. Many organizations do it once and don't need anything else.
Engagement type 3
Advisory Engagements
Ongoing review of model launches, vendor selection, and policy decisions, on retainer or per-engagement.
- → Monthly retainer — typically 4–8 hours of structured review per month, plus async availability for fast-turnaround questions.
- → Project-based — vendor selection, AI policy drafting, board briefing prep, regulatory response.
- → Confidential — by default, nothing we see is shared outside the engagement.