What we help with

  • Microsoft 365 Copilot — readiness first (permissions and data hygiene), then rollout and training
  • Copilot Cowork — multi-step work across Microsoft 365 that executes tasks end to end, with approval and oversight
  • Microsoft Foundry — models, agents, and tools on Azure when you need more than out-of-the-box Copilot
  • Governance — policies and controls so sensitive information does not leave in prompts
  • Private options — when cloud AI is not the right fit for regulated or confidential work

How we approach it

We start with your data and identity posture, not a software purchase. If governance is not ready for Copilot or Cowork, we say so. Microsoft Foundry is for production agents and custom AI on Azure — with the same access controls and change discipline as any other privileged system.

Risks we design for

The common failure mode is not “Copilot is broken.” It is enabling productivity AI on top of oversharing, weak labels, or agents without least privilege. We treat that as a readiness problem first — the same way we treat any system that can reach confidential data. See our Copilot readiness case study and governance field note.

A good fit if

You want Microsoft AI done carefully — Copilot, Cowork, Foundry, or a mix — a path off shadow AI, or help deciding what not to buy. You do not need a data science department; you need a senior engineer who can connect AI to the systems you already run.

Ready to talk through the next step?

Projects, managed services, or an honest read on your environment. You reach a principal consultant.