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From cloud adoption to value realisation

· 15 min read

A lot of Azure programmes can answer one question pretty quickly: what did we deploy?

  • Landing zone. Done.
  • Workloads migrated. Done.
  • Monitoring enabled. Done.
  • Tags and budgets configured. Done.
  • Security baseline applied. Done.

Those are all useful things, and I am not downplaying them. They are part of getting cloud adoption right. But they are not the whole story.

The harder question is usually this one:

What is measurably better because we adopted Azure?

That is where the conversation shifts from cloud adoption to value realisation.

OMO Teams: Multi-agent project delivery with ARB gates

· 17 min read

I've spent the last year building AI agent workflows for Azure projects, and I kept running into the same problem. The agents were useful in isolation - writing code, reviewing PRs, checking security - but there was no structure connecting them. No governance. No audit trail. No one could tell me who approved what and why.

So I built some Teams, using the Oh My OpenAgent Team Mode using the opensource OpenCode harness.

The idea is simple: five phases, each with a dedicated team of AI agents, and an Architecture Review Board (ARB) gate between them. The gate has real voters, real quorum rules, and a real escalation path when things deadlock. Every decision gets committed as a Markdown file - essentially governance as code.

And because I believe in eating your own dog food, I used OMO Teams to build the OMO Teams Quickstart. This post walks through what happened.

OMO Teams overview