Multi-Agent Workflow Design

Your highest-value AI workflows, designed and shipped.

Most teams have more automation opportunities than they can act on — and no clear way to rank them. We do the discovery, design the agent architecture, and deliver something working in production.

Talk to us All solutions

Built on the Microsoft platform you already own.

We design and build multi-agent workflows that run inside your existing Microsoft environment — no new vendor relationships, no shadow IT.

Azure AI Foundry

Copilot Studio

Microsoft Teams

Azure DevOps

Microsoft 365

Agent Framework

What's included

Three things we deliver on every engagement.

Use Case Discovery

We map your highest-value processes against what's actually automatable with AI agents today — and give you a ranked list with expected ROI for each. No vague possibilities. A prioritised backlog.

DeliverableRanked automation backlog with ROI scoring per use case.

Agent Architecture

We design the right agent topology for your problem — single agent, orchestrator + workers, or human-in-the-loop hybrid. We decide which Microsoft platform fits (Copilot Studio vs. Azure AI Foundry) and why, in writing.

DeliverableWritten architecture document: platform decision, agent topology, data sources, cost model.

Build & Handoff

We deliver a working agent — not a prototype, not a pilot that needs six more months. Fixed scope, defined milestones, production deployment. Your team owns it when we're done, with documentation and a knowledge transfer session.

DeliverableProduction-deployed agent, full documentation, and a knowledge transfer session.

Why CommonLogic

Why not Microsoft's own team, or a Big 4 shop?

Microsoft-only specialists.

We don't split focus across AWS, GCP, and a dozen AI vendors. Every engagement is native to the Microsoft stack you've already invested in — which means we move faster and go deeper than generalists.

Fixed scope, fixed timeline.

Not time-and-materials. You know the cost and the deadline before we write a line of config. No open-ended discovery sprints. No billing surprises at month three.

Senior architects only.

No offshore bench, no junior handoff after the sales call. The people who scope your engagement are the people who build it.

You own everything at handoff.

Architecture, documentation, and IP transfer fully to your team when we're done. No vendor lock-in, no retainer required to keep it running.

How it works

From problem to production in four steps.

We follow a fixed engagement model so you know exactly what happens when — no open-ended discovery sprints, no billing surprises.

Identify the constraint

A two-hour working session to surface the business problem worth solving and agree on the KPI that will move.

Map the workflow

We document the as-is process, identify decision points, and determine which steps are good candidates for agent automation.

Design & validate

Architecture review with your team. We walk through the agent design, data sources, Microsoft platform selection, and cost model before a line of code is written.

Build to production

Fixed-scope delivery. Weekly check-ins, real milestones, something in production in weeks. Azure budget controls set before go-live.

Common questions

Questions buyers ask before they call.

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

How is this different from hiring Microsoft directly?

Do we need an existing Azure or Microsoft 365 subscription?

What does a typical engagement cost and how long does it take?

What do we walk away with after the first working session?

Do you offer support after handoff?

Ready to map your first use case?

One working session is enough to surface where AI automation has the most impact for your team.
You'll leave with a ranked list of opportunities and a no-obligation scope estimate.

Talk to us