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Microsoft Ecosystem Integration

AI agents that live inside your Microsoft environment.

We connect AI agents to the Microsoft services your organisation already runs — Teams, Azure, M365, DevOps — with authentication, data residency, and permissions handled natively. No third-party middleware. No data leaving your tenant.

Six platforms. One integration model.

Every connector we build uses native Microsoft APIs, Entra ID authentication, and runs entirely within your Azure tenant.

Azure AI Foundry logo

Azure AI Foundry

Custom model deployment, fine-tuning, and agent orchestration on Azure.

Copilot Studio logo

Copilot Studio

Low-code agent authoring for business users embedded in M365 workflows.

Microsoft Teams logo

Microsoft Teams

AI agents surfaced directly in the collaboration tools your team already lives in.

Azure DevOps logo

Azure DevOps

Automated backlog management, sprint workflows, and delivery pipeline integration.

Microsoft 365 logo

Microsoft 365

Agents that read, write, and act across Outlook, SharePoint, Word, and Excel.

Agent Framework logo

Agent Framework

Multi-agent orchestration using Microsoft's native agentic SDK and tool-calling layer.

What's included

From architecture to production connectors.

Integration Architecture

We design how your AI agents connect to Microsoft services — data flows, authentication boundaries, permission scopes, and failover behaviour. Every decision documented before build begins.

DeliverableIntegration architecture document: service map, auth model, data flow diagrams, and API surface inventory.

Connector Build & Config

We build the connectors, configure the permissions, and wire the agents into your Microsoft environment. Authentication via Entra ID, data residency within your Azure tenant, no third-party data egress.

DeliverableConfigured, tested connectors deployed to your Azure tenant with Entra ID auth and permission documentation.

Validation & Handoff

End-to-end testing against your real Microsoft environment — not a sandbox. We validate data flows, permission boundaries, and agent behaviour before handoff, with a full runbook for your team.

DeliverableTest results, runbook, and a knowledge transfer session covering operations and ongoing maintenance.

Why CommonLogic

Integrated the way your security team expects.

Your tenant, your data.

Everything we build runs inside your Azure environment. No agent traffic routes through our infrastructure. Your data stays in your Microsoft tenant at all times.

Native Microsoft auth.

Integration uses Entra ID throughout. No separate identity provider, no third-party credential store. Your existing access controls and conditional access policies apply.

No new vendor sprawl.

We don't add middleware vendors, third-party iPaaS platforms, or external AI APIs. The integration stack stays entirely within Microsoft — which also means it stays within your existing procurement and compliance relationships.

Built for your governance model.

We scope permissions to the minimum necessary, document every access grant, and align to your Azure security baseline before any connector goes live.

How it works

Environment review to production in four steps.

Fixed scope, defined outputs at each stage. No open-ended integration sprints.

01

Environment review

We audit your Microsoft licensing, Entra ID configuration, existing connectors, and data residency requirements — the preconditions that shape every integration decision.

02

Integration design

We map the required service connections, define the auth model, and document the permission scope for each agent interaction — signed off before build begins.

03

Build & configure

Connectors built, permissions configured, agents wired to Microsoft services — all within your Azure tenant. Weekly progress check-ins with working demos.

04

Validate & hand off

End-to-end testing against your production Microsoft environment. Runbook delivered. Knowledge transfer session with whoever will own operations after handoff.

Common questions

Questions buyers ask before they call.

If something isn't answered here, reach out — we respond quickly.

Do we need specific Microsoft licensing before starting?

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Will this work with our existing Entra ID setup?

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How do you handle data governance and residency?

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Can you integrate with on-premise systems as well as Microsoft cloud services?

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Is this a separate engagement or part of a workflow build?

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Ready to wire AI agents into your Microsoft environment?

One conversation is enough to scope the integration and identify any licensing prerequisites.
You'll know exactly what gets built before we start.