Services · Private sector
AI governance, strategy, and independent audit, for boards and executive teams. The same rigor as our government work, at commercial rates that fund the public-interest mission.
The six lines
Deploying AI in regulated industries — finance, health, insurance — without regulatory, reputational, or ethical failure.
AI governance policy; model-risk framework; assurance and internal-audit reports.
Slow, biased, noisy strategic decisions.
Decision mapping; human-in-the-loop decision-support design; scenario tools.
Strategy built on intuition, not evidence.
Evidence synthesis; simulation; option analyses with explicit trade-offs; market and impact models.
Skills gaps and inconsistent practice as AI scales.
Executive programs; practitioner certification; playbooks.
Poor data quality and weak data ethics undermine every AI initiative.
Diagnostic; governance operating model; data quality and ethics standards.
Firms lack a credible external signal that their AI is trustworthy — for customers and for regulators.
Independent audit against Enpath's published methodology; a publishable assurance report.
Triple condition, no exceptions: the methodology is public; the full report belongs to the audited firm, but the finding is not negotiable; and no audited firm may simultaneously fund Enpath's research. This line supersedes our earlier commitment not to audit third-party AI — the update is publicly logged in Methodology & integrity.
Independence
Commercial revenue funds the mission; it does not define its conclusions. The editorial-independence policy and funding sources are public.