Guardrails first, so AI can scale.
Governance is what lets AI move from experiment to everyday work. We set the rules for which tools are approved, what data may be used, who signs off, how outputs are checked and how every step is logged. Your teams get clarity. Your leadership gets control.
What happens when AI runs without clear rules
Staff use personal accounts and free tools for work tasks, sharing customer and company data with no record of what went where.
When a new AI request arrives, it is unclear who approves it, so projects either stall in email threads or launch without review.
AI-drafted emails, quotes and reports reach customers without review, creating errors that are hard to trace back to their source.
When something goes wrong, there is no log showing which prompt, data or model produced the result, or who approved its use.
Practical governance in four moves
Discover
We find out which AI tools are in use today, by whom, for which tasks and with what data, without blame or disruption.
Define
We draft a usage policy, data classification rules and an approval path that match your risk appetite and the way your teams work.
Embed
Rules are built into tools and workflows through access controls, logging and review steps, so compliance happens by default rather than by memory.
Review
A named owner reviews usage, incidents and new requests on a set rhythm, and the policy is updated as tools and risks change.
A governance framework your teams use
AI usage policy
A plain-language policy that states which tools are approved, for which tasks, and what staff must never do with AI.
Data classification rules
Clear categories for what data may be used with AI, what needs approval first and what must never leave your systems.
Approval workflow
A simple path for requesting, reviewing and approving new AI use cases, with named decision owners and recorded outcomes for each request.
Human review standards
Rules for which AI outputs need a person to check them before they reach customers, suppliers or regulators, and how to check.
Logging and audit setup
Configuration so prompts, outputs, approvals and exceptions are recorded, giving you a reliable trail to review when questions arise.
Governance operating rhythm
A recurring review covering usage, incidents, new requests and policy updates, with a named owner and a short standing agenda.
Judged by the numbers, not the activity.
We take a baseline in Review week, agree targets in writing and report against them every month.
Questions leaders ask us.
Services that work alongside this one.
Start with a free Cost Review.
One week, no charge. We find where your cost hides and show you whether AI Governance is the right first move, with us or without us.
Talk to a Growth Architect