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AI consulting and implementation
AI is worth adopting where it takes a specific, repetitive task off a person, and worth avoiding where a wrong answer is expensive and nobody would catch it. Most of the work is telling those apart, then setting the tools up so the business, not each employee, is in control of them.
I work across Microsoft 365 Copilot, ChatGPT, Claude and Gemini, and build AI into workflows on Azure and Microsoft 365. Because I come to this from cloud security, permissions, data handling and the audit trail are part of the build, not a review at the end.
- An AI readiness review: where AI fits your work, where it does not, and what to fix first
- Assistant rollout on business accounts, with file permissions cleaned up before anything is connected
- AI inside your workflows: documents read and filed, email sorted, replies and summaries drafted for approval
- A one-page AI use policy your staff will actually follow
- Hands-on training built around your real tasks, not a generic demo