Understand the workflow
We review where AI is used and how decisions are currently made, then agree the processes the pack needs to cover.
LexIrunLegal intelligence for AI02 · Operational governance
AI Governance Support for Growing Teams
A working governance layer for a team adding models, users, vendors and enterprise customers.
Led directly by Dr Eldar KhiaviThe business problem
What does this service help you address?
AI governance sets out how a business approves, monitors and changes its use of AI. It connects decisions to named responsibilities and records. This package is for teams that need a practical process as they add models, vendors, users and customers, with documents that reflect how their product is actually developed and used.
When it may be the right fit
- Different team members are making AI decisions without a consistent approval process.
- A board, investor or customer wants an explanation of your controls.
- You need a way to record model changes, oversight decisions and incidents.
Included in the package
What the engagement includes
- AI system and use-case inventory
- Risk triage matched to the product lifecycle
- Decision owners, approval gates and escalation paths
- Human oversight, testing and release records
- Model, vendor, incident and change-review workflow
- Two working sessions with the team
How we work together
From scoping to useful next steps
Define responsibilities and records
The work sets out the inventory, risk triage, approval responsibilities, escalation routes and review records agreed for your business.
Work through the process
Two working sessions help the team understand how to use the documents and where responsibility for ongoing implementation sits.
Published delivery times are targets and are confirmed after reviewing the scope and required information.
An illustrative situation
How it can fit a business decision
A team regularly changes the model behind its product. The pack can define who reviews a change, what checks are recorded, who approves release and how later incidents are escalated.
What to prepare
- A list of AI systems, models, providers and intended uses.
- An outline of the team, current decision-making process and release workflow.
- Existing testing, review, incident or procurement documents, where available.
A short description of the product and issue is enough for a first enquiry. We agree the documents needed once the review scope is clear.
Questions before you start
Does the pack include technical model testing?
The package addresses governance, oversight and the records around testing and release decisions. It does not automatically include technical testing, cybersecurity assessment or certification. Any need for separate specialist work is identified during scoping.
Can I ask for advice on a narrower issue?
Yes. Explain the issue so we can assess whether a focused consultation or document review is appropriate. The scope and fee for a separate instruction are agreed before work starts.
Which languages can we work in?
Consultations and explanations can be in English, Persian or Azerbaijani. The language of written documents is agreed at the outset, taking account of your counterparties, market and business needs.
Discuss your next step
Tell us about your product and the decision ahead
Share your product, target markets, immediate question and timing so we can discuss the scope and whether this package fits.
Start a conversation
Bring us the product, the risk and the next decision.
Tell us what you are building, where it is shipping and what needs to move. We will use that context to make the first conversation useful.