AI Agents

Why You Should Let Your Workflow Call an Agent

1 September 2026 · 6 min read

Stephanie Stasey holding an open book about high performance

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:

  • If this happens, do that
  • Send an email
  • Update a record
  • Create a task

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.

Explain Like I'm 5

Imagine you're baking a cake. You have a recipe with clear steps:

  • Get the ingredients
  • Mix them together
  • Put the cake in the oven
  • Decorate it

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.

The Old Way vs The New Way

Traditionally, workflows excel at structure. They can:

  • Read data
  • Write data
  • Trigger actions
  • Send notifications
  • Move information between systems

What they struggle with is human-style reasoning. For example:

  • Writing a personalised welcome email
  • Summarising customer feedback
  • Drafting a project update
  • Creating a tailored response to an enquiry

These are tasks where AI agents shine.

A Great Example: Employee Onboarding

Rajeev's example is beautifully simple. Imagine a new employee joins your organisation. A workflow can easily handle:

  • Capturing their name
  • Recording their role
  • Assigning tasks
  • Creating accounts

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.

How It Works

Step 1: Build an Agent

Create an agent whose sole purpose is writing welcome messages. Give it instructions such as:

  • Use the employee's name
  • Include their role
  • Mention their department
  • Keep the tone warm and professional

The agent becomes a specialist.

Step 2: Publish the Agent

Once published, it becomes available for other Copilot Studio components to use.

Step 3: Create a Workflow

Build a workflow with inputs such as:

  • Name
  • Role
  • Department
  • Start Date

These are collected from the onboarding process.

Step 4: Add an Agent Node

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.

Why This Matters

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:

  • Welcome message writer
  • Project update writer
  • Proposal summary writer
  • Customer service responder
  • Policy explainer
  • Meeting note summariser

Then simply call them whenever needed.

Think of It Like Hiring Specialists

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:

  • The writer
  • The analyst
  • The researcher
  • The communicator

Each agent can focus on doing one thing really well.

My Take

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.

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