Craig Stanley
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Capabilities

What can Microsoft's tools do today?

In short, explained

Microsoft makes lots of computer helpers, and they all have different names. This part tells you what each one does, what it costs, and when you'd use it.

Microsoft sells a lot of AI products and the names change often. In September 2026 it grouped Copilot into Home, Code and Autopilot. Here I explain each product in plain terms: what it does, what it costs and which decisions it can help with.

Microsoft now describes Copilot as an agent layer across Microsoft 365, announced on 25 September 2026 as Home, Code and Autopilot. This section covers what each product does, what it costs and where it fits a decision. It starts with decision models, which link straight back to the Decisions section.

How this section is organised

Microsoft's AI products change names and packaging often. This section sorts them by what they do for a decision rather than by brand:

  • Find and summarise: tools that gather what you need to know before deciding, such as Copilot Chat, Microsoft 365 Copilot and Notebooks.
  • Draft and share: tools that produce something people edit together, such as Pages.
  • Act on your behalf: agents that carry out steps, from Agent Builder through Copilot Studio to Foundry.
  • Score a fixed choice: decision models, which pick between set options and say how confident they are.

What every product page will cover

Each page answers the same questions in the same order, so you can compare products side by side:

  1. What it does, in one sentence.
  2. Which licence or meter pays for it, with the date the price was checked.
  3. Which kinds of decision it helps with, and which it shouldn't touch.
  4. What governance you need in place first.

A note on figures

Prices, limits and features here are attributed to Microsoft's own documentation and dated. If a figure is an estimate, it's labelled as one.

Where to start

The product pages are being written now. Until they're up, the Decisions section explains what a decision model is and where one fits, and the guide Is Microsoft 365 Copilot worth it? works through the licence question.

11 collections · 0 articles

Collections

CapabilitiesLive

Start here: decision models

Jev and Microsoft-Decision-1, side by side.

  • Jev and Microsoft-Decision-1 compared coming
  • Where a decision model sits in a Copilot agent coming
/capabilities/start-here
CapabilitiesDrafting

Home, Code and Autopilot

Microsoft's September 2026 direction: Chat and Cowork merged, tenant-hosted app building, a proactive agent.

  • The philosophy: Copilot as the OS for work coming
  • What changes for your licences coming
/capabilities/home-code-autopilot
CapabilitiesPlanned

Copilot Chat

The free, web-grounded tier and what it can safely do.

/capabilities/copilot-chat
CapabilitiesPlanned

Microsoft 365 Copilot

The paid licence, grounded in your work data.

/capabilities/m365-copilot
CapabilitiesPlanned

Notebooks

Gathering sources around one piece of work.

/capabilities/notebooks
CapabilitiesPlanned

Pages

Shared, editable AI output.

/capabilities/pages
CapabilitiesPlanned

Agent Builder

Light agents for individuals and teams.

/capabilities/agent-builder
CapabilitiesPlanned

Copilot in SharePoint

Agents over sites and libraries.

/capabilities/sharepoint
CapabilitiesPlanned

Copilot Studio

Governed agents with actions, flows and connectors.

/capabilities/copilot-studio
CapabilitiesPlanned

Cowork

Multi-step work across skills and apps, now part of Home.

/capabilities/cowork
CapabilitiesPlanned

Foundry

Models, agents and evaluation on Azure, including Microsoft-Decision-1.

/capabilities/foundry

A question to take awayWhich of these do you already pay for and not use?

About me

Craig Stanley

Microsoft AI consultant and technical architect, based in Whitley Bay. Over the last few years I've delivered Microsoft 365 Copilot, Copilot Studio agents, Azure AI Foundry work and governance for UK public sector and financial services organisations.

What interests me is the decision underneath the tool: what it costs, what it risks, and whether a small, transparent model can make it better. I write the methods up here and on Substack so anyone can use them.

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