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AI Governance

AI governance is the set of human approvals, data controls, and audit steps that keep AI usage secure and accountable.

Key takeaways

  • Engineers approve any AI-assisted actions.
  • Data handling aligns with Microsoft 365 policies.
  • Client-facing workflows are scoped separately.

Human approval gates

AI-assisted recommendations are reviewed and approved by engineers before actions are taken.

Data handling

We minimise data exposure and prioritise secure workflows aligned to Microsoft 365 policies.

Auditability

Support actions are documented, with visibility into changes and approvals.

Client workflows

Optional AI workflows for clients are scoped, tested, and documented before go-live.

Where AI fits in the support model

  • Ticket triage, context gathering, and repeatable diagnostics.
  • Automation suggestions reviewed by engineers before execution.
  • Optional client workflows scoped separately from managed IT support.

Discuss AI workflows safely

We can review potential AI workflows and confirm where automation is appropriate without reducing oversight.