Mott MacDonald: Engineering a responsible agentic AI future
And colleagues have now created more than 8,000 AI agents. Today the business is scaling AI across its 20,000 people through a major investment in Microsoft 365 E7 – Microsoft’s top-tier subscription encompassing work apps, AI assistant, and enterprise security in one package. Team members refine the agents after each bid and have set themselves a target of cutting the average proposal process from one week to 48 hours.
- Agent or tool
- Microsoft Copilot
- Topic
- DevOps & Infra
- Reported on
- Case study (Microsoft)
- Added
- 2026-11-11
Why it matters
Keeping servers and pipelines healthy is constant, detail-heavy work. Agents that can read logs and run routine fixes are a big help, as long as a person keeps an eye on what changes. It is one of 130 sightings filed under DevOps & Infra on Agent Sightings (number 28 by interest), and one of 39 involving Microsoft Copilot.
How you could try it
Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Microsoft Copilot or any similar agent and adjust the details to your situation.
I want an agent to investigate and propose a fix, and to wait for approval before changing production. The tool in the source case was Microsoft Copilot.
Tip: Try it first on a staging system or with read-only credentials, and require approval for anything that changes production.
Source
Read the original first-hand account on Case study (Microsoft): https://ukstories.microsoft.com/features/mott-macdonald-engineering-a-responsib…. Our summary is a paraphrase; details are in the source.
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