For cities, towns and agencies

Govern AI before its work becomes official.

Municipal AI governance, from the first use decision to continuing oversight. PriorityLex helps leadership authorize useful AI with a clear understanding of its limits, and turns those decisions into policy, operating responsibilities and controls staff can use.

On this page: Governance assessment A worked decision After the assessment Questions

Start at the decision you face

You may be considering a new vendor, discovering AI features inside existing software, responding to staff use or revisiting a policy that no longer answers the practical questions. You may already have an approved deployment and need to know whether its controls still work.

We provide governance assessments, policy and charter development, procurement support, workflow design and review, training, and fractional Chief AI Officer services. An engagement can address the immediate decision or begin with a broader assessment.

A governance assessment leadership can act on

The assessment establishes what is being used, who is responsible and where the governing arrangements need work. We define the departments, systems and sample workflows in scope before the review begins.

Current use inventory

The AI tools and uses identified within the agreed scope, including approved uses and staff-reported practices that need review.

Authority map

Named responsibilities for proposing, approving, operating, reviewing, restricting and stopping an AI use, including where several duties sit with one person.

Control findings

Policies, information access, source quality, procurement terms, work review, exceptions and records, distinguishing what was observed from what remains untested.

Implementation plan and readout

Prioritized actions, proposed owners, dependencies and the decisions leadership must make, with a written record that can support internal deliberation.

Assessment findings are limited to the work examined. Scope, handling, deliverables and acceptance criteria are agreed at the outset.

Make an AI use governable

ILLUSTRATIVE GOVERNANCE DESIGN · FICTIONAL

Proposed use: A department wants AI to prepare a first draft of a council briefing about a service-contract renewal, drawing on the current agreement, amendments, approved budget and department performance records.
Purpose and boundary: The authorized purpose is briefing preparation. The AI cannot select the vendor, approve spending, alter the source records or send the briefing to council.
Conditions before use: Procurement and counsel identify the terms and restrictions that must be addressed. IT confirms the account, access and data-handling configuration. The department identifies authoritative sources, a reviewer and the official authorized to release the briefing. A representative test must show whether the checks and handoff work before the workflow is accepted.
A consequential exception: The draft says the renewal is within the approved budget. Its cited budget supports the base service, but the proposed renewal includes an additional service whose funding has not been established.
Decision and authority: The reviewer records the unsupported assumption and routes it to the designated budget owner. The briefing remains a draft until the issue is resolved or an authorized official decides how the uncertainty should be presented.
Record and oversight: Source versions, draft, review findings, resolution and release decision are retained under the municipality’s records arrangements. A change in the model, sources or permitted data triggers a defined review.

This fictional example shows the structure of a governance deliverable. It is not a client deployment, a software demonstration or a legal determination.

The work after the assessment

Policy and authority

An AI policy and governance charter that establish permitted uses, responsibilities, approval conditions, escalation and the power to restrict or stop a use.

Procurement and vendor review

Questions, proposed requirements and acceptance criteria concerning information use, access, testing, oversight, changes and records. Procurement personnel and counsel retain their roles.

Workflow design and review

Authoritative sources, permitted access, checks and review points, and a defined route when the evidence is missing or contradictory, tested on representative material before acceptance.

Training for actual responsibilities

Staff learn to work within the approved process, reviewers learn to examine evidence and exceptions, and leaders learn to make and document authorization decisions.

Fractional Chief AI Officer support

Continuing coordination as tools and uses change: the use inventory, proposal review, policy and training updates, recurring exceptions, retesting and reporting to leadership. Municipal officials retain public authority and final approval.

Established frameworks

An engagement can map proposed policies and controls to relevant references, including the voluntary NIST AI Risk Management Framework and ISO/IEC 42001. We agree which references apply and what the mapping covers.

Questions before an engagement

We already have an AI policy. Where would you begin?: With the decisions and workflows the policy is meant to govern. We examine how authority, access, review, exceptions and records operate in a defined use, then identify what needs to change.
Can you review AI already in use?: Yes. A scoped review can examine the current arrangement, a sample of work and the controls in place.
Must we adopt Claude or buy a new platform?: Tool selection follows the use, requirements and procurement process. We identify relevant technology relationships and proposed referral compensation before a recommendation is acted on.
Does an assessment certify compliance?: An assessment documents the work examined, findings and recommendations. Legal analysis, standards mapping or formal assurance would need an expressly defined scope.
Can you work through our procurement process?: Yes. We can provide a defined scope, proposed deliverables and the information needed to evaluate an engagement.

Discuss municipal AI governance

Governance, training, workflow and staffing engagements are not legal services and do not create an attorney-client relationship unless the engagement expressly says so.