AI−RI+C · Our approach

A structured approach
to enterprise
AI governance.

AI−RI+C connects the identification and assessment of AI-related risks with mitigation measures and compliance planning, grounded in your organisation’s activities and priorities.

Explore the approach

Begin with how AI is actually used. Establish the risk landscape. Turn findings into practical governance decisions.

01 Identify
02 Record
03 Reduce
04 Integrate compliance
The approach in practice

From a clearer picture
to considered action.

Four connected steps provide a practical structure for understanding AI-related exposure and developing a proportionate governance response.

  1. Identify

    Understand the activity and its context.

    Establish where and how AI is developed, procured or used. Examine the purpose of each use case, the people affected, the suppliers involved and the responsibilities that may arise.

    Indicative output: an AI inventory and an initial map of roles, risks and relevant obligations.
  2. Record

    Make the risk landscape explicit.

    Document findings, existing controls and governance gaps. Record the basis for assessments and decisions, distinguish confirmed facts from open questions, and identify where further evidence is needed.

    Indicative output: a documented risk register, governance gap assessment and decision record.
  3. Reduce

    Prioritise a proportionate response.

    Develop measures to address the identified risks. Depending on the use case, these may include governance controls, human oversight arrangements, supplier safeguards, contractual provisions and changes to internal processes.

    Indicative output: a prioritised action plan with proposed controls, ownership and review points.
  4. Integrate compliance

    Connect requirements with everyday practice.

    Translate relevant requirements into policies, responsibilities and working procedures. Connect implementation with training, monitoring and review so that governance can evolve as AI use and organisational priorities change.

    Indicative output: a compliance roadmap and supporting governance documentation tailored to the agreed scope.
Practical outputs

Clarity you can work with.

A clearer AI inventory

A structured view of relevant AI systems, use cases and supplier relationships.

Defined responsibilities

Documented roles and ownership for governance activities and follow-up actions.

A documented risk landscape

An explicit record of identified risks, existing controls and unresolved questions.

Prioritised actions

A practical sequence of measures aligned with the organisation’s exposure and resources.

Supporting documentation

Policies, assessment records and procedures developed for the agreed engagement.

A governance roadmap

A defined path for implementation, monitoring and subsequent review.

Outputs are illustrative. The scope, deliverables and responsibilities of each engagement are agreed in advance.

Applied to your context

One approach.
A tailored scope.

The starting point may be a specific AI procurement, an existing portfolio of tools, a new system under development or a broader governance programme. The engagement is shaped around that starting point.

AI−RI+C is GLIE Legal’s advisory approach, not a certification scheme or a guarantee of compliance. It provides a structure for connecting legal analysis, risk assessment and practical governance work.

Next steps

Put the approach
into practice.

Explore the services that support each stage, or contact GLIE Legal about a defined advisory, implementation or training engagement.