Data privacy
Start by identifying the data a workflow needs, why it is used, where it moves, and who can access it. Minimize collection and agree on retention and deletion expectations before launch.

A practical, project-specific approach to privacy, hosting, access, and human oversight—not a blanket promise that every system is the same.
Book a consultationStart by identifying the data a workflow needs, why it is used, where it moves, and who can access it. Minimize collection and agree on retention and deletion expectations before launch.
We can support a client's Law 25 work by documenting data flows, purposes, safeguards, and technical controls, and by coordinating privacy-impact work with the client's privacy lead or legal counsel. This is not legal advice or a compliance guarantee.
Choose hosting and AI providers against the project's data, residency, procurement, and operational requirements. Confirm hosting regions, subprocessors, and cross-border data flows before production; these depend on the deployment.
Define roles and least-privilege access for each system. Where supported and in scope, configure stronger sign-in controls and access reviews, then document who can view, change, or publish the system.
Agree which tasks may be automated and when a person must take over. Design escalation paths that give staff the context they need and keep consequential decisions under appropriate human review.