GOVERNANCE FRAMEWORKS

Set clear roles and decision rights. Make AI governance work in practice.

GLIE Legal helps organisations design AI governance frameworks that connect responsibilities, decision-making and oversight across the AI lifecycle.

We translate governance objectives into practical operating arrangements: who proposes an AI use case, who reviews it, who can approve it and how concerns are escalated. The framework is tailored to your organisation’s structure, AI activities and existing management processes.

Discuss your AI governance framework

Who this service is for

For organisations that need a consistent way to oversee AI across teams, business processes and supplier relationships.

  • Businesses moving from individual AI experiments to wider organisational use.
  • Organisations with fragmented responsibilities across legal, compliance, technology, procurement and business teams.
  • Leadership teams seeking clearer approval authority, reporting and escalation arrangements.
  • Organisations looking to integrate AI oversight into existing risk, compliance or management-system processes.

From governance principles to an operating model

We design the structures and workflows needed to make AI governance part of everyday decision-making, rather than a separate layer of documentation.

Governance scope and structure

Define the activities, business units and AI use cases covered by the framework. Design oversight arrangements proportionate to the organisation’s size, complexity and available resources.

Roles and decision rights

Map responsibilities for proposing, reviewing, approving and overseeing AI use cases. Clarify accountable owners, consultation requirements and delegated authority.

AI intake and approval workflows

Establish a structured route for new AI tools and use cases, including initial screening, proportionate review, approval conditions and documented decisions.

Lifecycle oversight and escalation

Define review points for procurement, development, deployment, material changes and retirement. Set routes for escalating concerns and deciding when use should be restricted, paused or reassessed.

Supplier and cross-functional coordination

Connect AI oversight with procurement, supplier management, legal review, information security and operational teams. Identify handovers and dependencies that need explicit ownership.

Reporting and governance review

Define management reporting, decision records and review arrangements. Establish how governance effectiveness will be discussed and how the framework will be updated as AI activities evolve.

A framework your teams can use

Depending on the agreed scope, deliverables may include:

  • An AI governance framework document and operating-model overview.
  • A roles, responsibilities and decision-rights matrix.
  • Governance role descriptions or committee terms of reference, where appropriate.
  • An AI use-case intake and approval workflow.
  • Escalation routes and lifecycle review checkpoints.
  • Decision-log and management-reporting templates.
  • A prioritised implementation roadmap and stakeholder briefing.

The framework is designed around the people, processes and resources available. A dedicated committee is not assumed: oversight arrangements are agreed according to the organisation’s needs.

How the engagement works

  1. Understand the current model

    Review AI activities, existing governance arrangements, stakeholders and the decisions that need clearer ownership.

  2. Design the framework

    Develop the proposed structure, responsibilities, decision rights and workflows within the agreed scope.

  3. Validate with stakeholders

    Walk through practical use cases with relevant teams to test handovers, approval routes and escalation arrangements.

  4. Plan implementation and review

    Finalise the framework, identify implementation owners and agree priorities, communication needs and review points.

Clear responsibilities. A defined engagement.

This service focuses on the design of governance structures and operating arrangements. Detailed policy drafting, individual AI risk assessments, technical testing, training delivery and ongoing governance operations are scoped separately unless expressly included.

The engagement does not constitute certification or a guarantee of regulatory compliance. The organisation retains responsibility for approving the framework, assigning authority and resources, and implementing the agreed arrangements.