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Missouri AI Governance

From Executive Order to Governance Architecture

On January 13, 2026, Missouri signed two executive orders embedding AI governance inside a broader government transformation agenda. Four departments. Five principles. One deadline.

4
Departments
5
Pillars
4
Phases
1
Deadline
Governance Architecture

Missouri's Nested Design

AI governance embedded within broader government transformation, not siloed compliance, but a built-in standard.

EO 26-03 · GREAT Initiative

Government-wide efficiency and transformation. AI applications must adhere to safety and security standards established in EO 26-02.

EO 26-02 · AI Governance

AI Governance Principles

1Efficiency & Service
2Data Privacy & Security
3Human Decision-Making
4Transparency
5Data Quality

Nested by design: Departments encounter AI governance as a built-in standard, not an afterthought bolted on later.

The MPBP Framework

Four Phases to Operationalize

What separates jurisdictions that operationalize AI governance from those that produce frameworks that sit on a shelf.

Phase 01 · Months 1–2

Map What Exists

Inventory current AI use across departments, including vendor tools with AI capabilities not labeled as "AI."

Phase 02 · Months 2–4

Prioritize by Impact

Not all AI carries the same risk. Classify by tier so governance resources match actual impact level.

Phase 03 · Months 3–6

Build on Tested Frameworks

Adapt NIST AI RMF, OECD principles, and EU AI Act structures. Don't reinvent what others have solved.

Phase 04 · Months 4–10

Pilot & Learn

Each department identifies one well-scoped AI pilot where governance is built and tested in real time.

Risk-Proportional Governance

Three-Tier Impact Classification

Fast-track routine uses. Ensure high-impact decisions receive robust oversight.

Tier 1
Routine Automation
What It Covers

Internal admin tasks with no direct citizen impact: scheduling, document summarization, data entry.

Governance

Department-level approval, standard data quality checks, periodic review.

Tier 2
Decision Support
What It Covers

AI informing human decisions affecting citizens or resource allocation: permit review, trend analysis.

Governance

Human-in-the-loop requirements, transparency about AI's role, data privacy impact review.

Tier 3
Citizen-Facing Decisions
What It Covers

AI directly affecting outcomes, rights, or access: eligibility determinations, risk assessments.

Governance

Full oversight at decision point, citizen transparency, concern mechanisms. All five pillars apply.

By November 30, 2026

What Success Looks Like

If the four departments execute well, Missouri could have all six of these by the reporting deadline.

1A working AI use inventoryThe first comprehensive view of where and how AI operates within Missouri's agencies.
2A tiered governance frameworkMatching governance requirements to the actual impact level of each AI application.
3Four department-level AI pilotsGovernance in action, not just frameworks on paper.
4Workforce development programsEquipping state employees for AI-augmented roles.
5Energy and infrastructure assessmentEnsuring AI growth doesn't raise rates for residents and small businesses.
6A governance model other states referencePositioning Missouri as a leader in responsible AI adoption.

Reporting Deadline: November 30, 2026

Full Analysis

This overview covers the core architecture. The full report includes global benchmarks, implementation guidance, anti-patterns to avoid, and the complete four-phase execution framework.

Download Full Report or read full report online

Dr Gbemisola Adetayo · Responsible AI Governance Architect · Principal, Arrell Advisory