Implementation Guide

A phased approach to implementing AI governance in your municipality. From first assessment to ongoing optimization.

Timeline Overview

Assessment(2 weeks)

Policy Development(2 weeks)

Training & Rollout(4 weeks)

Monitoring & Optimization(Ongoing)

Duration: 2 weeks

Understand your current AI landscape and organizational readiness before writing a single policy line.

Inventory all current AI and AI-adjacent tools across departments
Identify key stakeholders: IT, legal counsel, department heads, elected officials
Survey staff on current AI usage (formal and informal)
Review existing technology policies and procurement procedures
Assess public sentiment and community expectations around AI

Do not overlook "shadow AI" — staff may be using ChatGPT, Copilot, or other tools informally. Include these in your inventory.
Engage your city attorney early. Their buy-in will accelerate council approval.
Look at peer municipalities. Knowing what neighbors are doing helps frame your approach for elected officials.

Deliverables:AI inventory spreadsheet, stakeholder map, readiness scorecard

Duration: 2 weeks

Draft your governance framework based on assessment findings, tailored to your organizational structure and risk tolerance.

Define policy scope — which systems and decisions are covered
Establish use case categories: approved, restricted (requires approval), prohibited
Set data privacy and security requirements for AI systems
Create vendor evaluation criteria for AI procurement
Draft public transparency and disclosure requirements
Develop incident response procedures for AI-related issues

Start with clear guardrails on high-risk use cases (public safety, hiring, benefits eligibility) — these are where trust is most easily lost.
Write in plain language. Policies that staff cannot understand will not be followed.
Include a "sunset review" clause — require the policy to be reviewed within 12 months. AI governance should not be static.

Deliverables:Draft policy document, department-specific appendices, public-facing summary

Duration: 4 weeks

Prepare your organization and community for policy adoption. Training and communication are as important as the policy itself.

Designate an AI Governance Officer — a named person (not a committee) who owns policy questions and vendor reviews.
Make training practical, not theoretical. Show staff exactly how to request approval for a new AI tool, step by step.
Prepare a public FAQ. Residents will have questions. Proactive communication builds trust faster than reactive responses.

Deliverables:Training materials, public transparency page, internal FAQ, council resolution

Duration: Ongoing

Governance is not a one-time event. Continuous monitoring ensures your policy stays relevant as AI technology and regulations evolve.

Track metrics that matter: number of AI systems in use, approval request turnaround time, incidents reported, resident complaints.
Join municipal AI governance networks (e.g., Bloomberg Cities, GovAI Coalition) to learn from peers.
Budget for ongoing governance. Assign at least 0.5 FTE to AI oversight — it pays for itself in risk reduction.

Deliverables:Quarterly compliance reports, annual audit report, updated policy revisions

Our AI Policy Generator creates a customized governance policy for your municipality. This guide then walks you through putting it into action.