AI Integration & Governance
Make AI easier to operate responsibly.
Put clear ownership, permissions, and quality checks around an AI workflow before it becomes part of daily operations.
When this is a good fit
Your team is testing or using AI but needs clearer data boundaries, integration controls, or review responsibilities.
What we work on
- Define approved data, tool permissions, reviewers, and escalation paths.
- Assess integration requirements and require review for consequential actions.
- Plan evaluation, cost monitoring, failure handling, and source maintenance.
What you receive
An integration and operating plan covering access boundaries, review controls, evaluation, ownership, and recovery. Implementation work is agreed separately within the project scope.
Scope, deliverables, fees, timing, and evaluation criteria are agreed before work begins.
Your next step
Describe the workflow you want to control.
Tell us where AI is used, what it can access, and who reviews the result. Avoid sharing credentials or private records.
Discuss a pilot →