AI and Agentic Services

Copilots and agents pay off when identity, data security, and governance are ready for them. We handle the rollout and the guardrails together, so adoption sticks and audits stay boring.

Four offerings, one practice

Take one on its own or combine them. Governance runs through all four.

Microsoft 365 Copilot readiness and rollout

Copilot surfaces whatever your permissions allow, which makes preparation the real project. We assess before licenses go live and stage the rollout after.

  • Data security and oversharing assessment
  • Licensing and early adopter group strategy
  • Staged rollout with adoption support
  • Usage measurement and review

Copilot Studio agents

Custom agents that answer from your knowledge and act through connectors, built to stay inside the lines. Lifecycle and governance are part of the build, not an afterthought.

  • Agent design and build
  • Connectors, actions, and knowledge sources
  • Environment strategy and lifecycle management
  • Governance from day one

Claude Code and agentic engineering

Coding agents change how engineering teams work, and the change deserves a plan. We design the workflows, wire up MCP integrations, and roll out in stages your security team can approve.

  • Agentic developer workflow design
  • MCP integrations with internal systems
  • Security review and staged rollout
  • Team enablement and coaching

AI governance and security

Agents are identities too. We apply least privilege, usage guardrails, and monitoring so you always know what AI is running, who is using it, and what it can reach.

  • Identity and least privilege for agents
  • Usage policies and guardrails
  • Monitoring and audit
  • Review cadence as the estate grows

What done looks like

Every organization starts from a different place, and we do not promise numbers we cannot stand behind. These are the outcomes we aim for.

  • Copilot rolled out to groups that are ready for it, with oversharing addressed before the first license lands.
  • Working agents that answer from your own knowledge and act only within defined limits.
  • Engineering teams using Claude Code and GitHub Copilot inside workflows your security team has approved.
  • A governance model that tells you what AI is in use, by whom, and with what access.
  • Your own people able to run, extend, and retire agents without calling us back.

Ready to talk about AI adoption?

Tell us where you are today, whether that is a Copilot rollout underway, an agent idea, or a blank page. We will reply with a clear next step.

Contact us