AIPMO - AIPMO

NAIC AI Bulletin Adoption: Q2 2026 State-by-State Status

Twenty-nine jurisdictions now regulate insurer AI use. Here's where every state stands as of Q2 2026, what the NAIC's January-September Evaluation Tool pilot means for market conduct exams, and where multi-state carriers should focus.

By AIPMO

/ 6 May 2026 · 10 min read

The Banking Sector Got Mythos First. Here's What That Means for Its PMs.

JP Morgan, Goldman, Citi, BofA, and Morgan Stanley all got Mythos first — and the Treasury Secretary convened them to discuss using it. For FinServ PMs inside Project Glasswing and outside it, the governance implications are immediate, regulator-facing, and not covered by SR 11-7 as written.

By AIPMO

/ 28 Apr 2026 · 9 min read

The Mythos Signal: Why a Model You Can't Use Should Change Your AI Governance

Anthropic shipped Mythos to a closed partner list, then a contractor environment was breached. PMs won't use the model, but the release pattern — gated tiers, vendor-mediated exposure, capability migrating downward — is the new default. Here's what to update in your governance stance now.

By AIPMO

/ 28 Apr 2026 · 9 min read

The AI Project Charter for Agile Teams: Governance that Enables Agility, Not Bureaucracy

Agile teams don't skip chartering — they just do it badly. The AI governance questions that must be answered before sprint 1 don't care about your methodology. Here's how to meet them without importing waterfall into your backlog.

By AIPMO

/ 13 Apr 2026 · 16 min read

Law Enforcement and Criminal Justice AI: The Highest-Stakes Deployment

Facial recognition has put innocent people in prison. Risk tools score individuals on group statistics. Predictive policing amplifies historical bias at scale. The stakes have no equivalent in government AI. Neither do the governance obligations.

By AIPMO

/ 7 Apr 2026 · 10 min read

Due Process and Automated Government Decisions

Robodebt. SyRI. MiDAS. Three countries, three systems, one failure: automated consequences without human review. When government AI affects citizens' rights, due process is not a feature to add later. It is the acceptance criterion.

By AIPMO

/ 7 Apr 2026 · 10 min read

Procuring AI for Government: What the Contract Needs to Include

Procuring AI from a vendor doesn't transfer accountability. The agency still owns the due process obligation, the legal liability, and the reputational damage. Here's what every government AI contract actually needs to include.

By AIPMO

/ 7 Apr 2026 · 9 min read

AI Governance in Government: What Project Managers Need to Know

The same governance failure played out in Australia, the Netherlands, the US, and across democratic governments worldwide. The pattern is identical. The PM lesson is too. Here's what responsible government AI deployment actually requires.

By AIPMO

/ 7 Apr 2026 · 12 min read

Model Risk Management and SR 11-7: The Framework That Already Governs AI

SR 11-7 was written for statistical models. Federal banking examiners are using it to evaluate machine learning in credit, trading, and risk management today. Here's how to adapt model risk governance for the AI era without rebuilding from scratch.

By AIPMO

/ 7 Apr 2026 · 9 min read

GenAI in Financial Services: New Capabilities, Familiar Governance Risks

FINRA's 2026 Annual Report documented AI hallucinations in compliance workflows and unauthorized use of non-compliant tools. Generative AI introduces failure modes that traditional model risk management wasn't designed to catch. Here's the gap analysis.

By AIPMO

/ 7 Apr 2026 · 9 min read

Fair Lending and Credit AI: When the Algorithm Discriminates

The CFPB's adverse action notice requirement doesn't care whether a denial came from a human or a gradient-boosted tree. Proxy discrimination in credit AI is as illegal as direct discrimination. Here's the governance framework that keeps models compliant.

By AIPMO

/ 7 Apr 2026 · 9 min read

Adverse Action Notices and Explainability in Financial AI

An AI that can't explain why it denied credit doesn't meet Regulation B. The CFPB's "specific reasons" requirement applies regardless of model complexity. Explainability is not a model architecture preference — it's a legal obligation.

By AIPMO

/ 7 Apr 2026 · 9 min read