AI Governance & Safety

Policies, evaluation, access control, and incident paths so AI features can ship without becoming an unmanaged risk.

The offering

What we actually deliver

Governance is what lets you say yes to a use case. We help you classify AI systems (internal copilot versus customer-facing versus automated decision), set data and retention rules, and put evaluation and logging on the path to production. The output is a working review process and technical controls — not a 40-page policy nobody can operationalise.

Safety work includes red-team prompts, output filters where they help, human review on high-risk actions, and an incident path when a model leaks or harms. We align to the regulations and customer questionnaires you actually face, without pretending a checklist is a substitute for engineering controls.

Access to models and corpora is treated like access to production data. Shadow tools are found and either blessed or blocked. Vendor DPAs and training-data options are reviewed with your legal owner, not assumed.

You get a register of AI uses, a review board or RACI that fits your size, and controls in the platforms you already run. Small companies get a lightweight version; enterprises get something their risk team can audit. Either way it is meant to be used on Tuesday, not framed in a hallway. Shadow tools that fail the data-class test are blocked or replaced with an approved path so staff are not forced back to a personal ChatGPT account.

What you get

Use-case register with data class and human-review requirements

Evaluation and logging baseline for production AI

Access control for models and corpora

Incident and vendor-review path sized to your organisation

How we work

A delivery path you can follow

Each engagement is sequenced so architecture, cutover, and handover are visible — not a black box at the end.

01
Inventory
Shadow and official AI uses are listed with data classes.
02
Policy that fits
A short policy and RACI, written with legal and security, not copied from the internet.
03
Controls
Logging, evals, access, and high-risk human gates are implemented in your stack.
04
Run
Review cadence and incident drills exist; the register is kept current.

Ready to scope this work?

Send context via the contact form — we respond during IST business hours.

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Talk to us about AI Governance & Safety

Share the current estate, deadline, and constraints — we will tell you what a first engagement should contain.

Contact Audmins Technologies