
What on Earth is a Copilot Studio Harness?
Microsoft has introduced another new AI word. Here is what a harness actually is, which one to pick, and why Copilot Credits start ticking sooner than you think.
Read the post →1 September 2026 · 6 min read

One of the biggest shifts happening in Copilot Studio is that we're moving beyond simple automation.
For years we've built workflows that followed predefined steps:
Useful? Absolutely. Intelligent? Not always.
A recent Copilot Studio capability lets you do something much more interesting: call an AI agent directly from a workflow. And while that sounds technical, the idea is surprisingly simple.
Imagine you're baking a cake. You have a recipe with clear steps:
Most of those steps are predictable. But then someone says:
Write a personalised birthday message on top.
That's not really a rule. It requires judgement. It requires creativity. Rather than hard-coding every possible message, you hand that task to a person who knows how to write.
In Copilot Studio, the workflow is the recipe and the agent is the creative helper. The workflow handles the predictable bits. The agent handles the thinking.
Traditionally, workflows excel at structure. They can:
What they struggle with is human-style reasoning. For example:
These are tasks where AI agents shine.
Rajeev's example is beautifully simple. Imagine a new employee joins your organisation. A workflow can easily handle:
But what about writing a warm, personalised welcome note? You could build hundreds of rules. Or you could simply hand the information to an agent and ask: "Create a welcome message for this employee." That's exactly what the example demonstrates.
Create an agent whose sole purpose is writing welcome messages. Give it instructions such as:
The agent becomes a specialist.
Once published, it becomes available for other Copilot Studio components to use.
Build a workflow with inputs such as:
These are collected from the onboarding process.
This is the magic. Instead of calling another workflow or sending an email directly, the workflow calls the published agent. The workflow passes employee details to the agent, the agent generates the message, and the workflow receives the response.
This might feel like a small feature, but it points to where Microsoft is heading. We're entering a world where workflows become orchestrators. They coordinate tasks. Agents provide intelligence.
Instead of building hundreds of branching conditions, you can create specialised agents for specific jobs:
Then simply call them whenever needed.
A workflow is your operations manager. It knows the process. It knows what needs to happen next. But when specialist expertise is required, it brings in the right person.
The agent becomes:
Each agent can focus on doing one thing really well.
This is one of those features that doesn't grab headlines but could fundamentally change how organisations build automation. For years we've automated processes. Now we're starting to automate judgement-based tasks within those processes.
The sweet spot isn't replacing workflows with agents. It's combining them. Let workflows handle structure. Let agents handle thinking.
That's where things get interesting. And if you're building Copilot Studio solutions today, I'd start looking for places where you've created complicated business rules just to generate content. There's a good chance an agent could do the job more elegantly.

Microsoft has introduced another new AI word. Here is what a harness actually is, which one to pick, and why Copilot Credits start ticking sooner than you think.
Read the post →
The people getting the most from Copilot aren't the most technical. They just ask better questions. Here are three habits that save hours every week, plus the GCSE prompting framework.
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