Why Microsoft 365 customers could start with Copilot Chat

MICROSOFT COPILOT • GETTING STARTED

For organisations already using Microsoft 365, Copilot Chat can be a useful place to begin. Check the account, available capabilities and company rules, then teach people through relevant tasks.

If You’re a Microsoft 365 Customer, Copilot Chat Could Be Your Starting Point

Post 1 of the series: Starting with Copilot Chat

There is an uncomfortable reality sitting underneath much of today’s AI adoption.

Some teams use AI regularly without clear evidence of lasting improvements to their work. This includes users of ChatGPT.

In most cases, a tool is accessed, people begin using it immediately and that is where the journey ends. There is little education, no structured approach and limited understanding of how to work with AI rather than simply asking it questions. The result is predictable. AI is used in a simplistic way, outputs feel helpful in the moment, but real productivity gains fail to materialise.

This is not a prompt problem. It is an approach problem.

We see this daily in our work at Koshima across organisations in the GCC and the UK. Despite widespread awareness and experimentation, many teams are effectively still at square one when it comes to using AI properly for real work.

At the same time, ChatGPT has become the most visible and widely used AI tool inside organisations, often adopted informally and without configuration. Leaders frequently only become aware of this usage when questions around data handling, confidentiality, or non-disclosure agreements arise.

Rather than speculate or rely on assumptions, we decided to step back and properly test Microsoft Copilot Chat. Not as a demo. Not as a marketing exercise. But as a real user, doing real work, under the same pressures our clients face.

This exploration is also timely. Microsoft introduced Copilot Chat at no additional cost for eligible Microsoft 365 business customers in early 2025, positioning it as a secure, enterprise-ready starting point for AI adoption inside the tools people already use.

This post is the starting point of that exploration.

The reality most organisations are living with

AI adoption inside organisations has happened bottom‑up, not top‑down. Individuals experiment first. Governance and policy follow later.

This creates a quiet mismatch. On one hand, organisations have clear obligations around data handling, confidentiality and compliance. On the other, employees are using tools that sit outside the environments those obligations were designed around.

This is rarely malicious. In most cases, people simply do not know where the boundaries are.

The result is an uncomfortable realisation for many leadership teams. The way AI is being used day‑to‑day does not always align with the way the organisation is expected to operate.

Check what your organisation already provides

Copilot Chat is available to eligible Microsoft 365 business users signed in with their work account. The features available depend on the subscription, licence and company settings.

It can support chat-based work such as drafting, summarising and reviewing supplied information. Broader access to work information and in-app capabilities depends on the experience and licence assigned to the person.

Why the account and company rules matter

Microsoft provides enterprise data protection for Copilot Chat when used with an eligible work account. That is a useful starting point, but it does not automatically settle every information-handling or compliance question.

Your organisation should confirm approved uses, permissions, the information people may provide and separate conditions for connected apps, agents and web search. Employees need rules they can follow during their actual work.

What Copilot Chat looks like in practice

At a high level, Copilot Chat behaves exactly as most people expect a modern AI assistant to behave.

It supports tasks such as:

• Drafting and refining written content
• Summarising documents or policies
• Creating structured outlines, questions, or frameworks
• Reviewing content critically from a specific perspective

Use a few relevant tasks to compare the results. Capabilities and limits differ between products and accounts.

This is important, because it removes the assumption that starting with Copilot means compromising on usefulness.

Copilot Chat goes beyond chat

The examples below depend on the app experience, licence and permissions available in your account. Check those before planning learning or assigning work.

The chat interface on its own is only part of the story.

Copilot Chat also operates inside Microsoft 365 applications, where it gains awareness of the work object you are already interacting with.

At a very high level:

• In Outlook, it can help users understand, prioritise and respond to emails without copying content into another tool
• In Word, it supports summarising, reviewing, and improving documents directly inside the file being worked on
• In Excel, it helps users interrogate data, spot patterns and create new structures without advanced spreadsheet expertise

We will explore this properly in later posts. For now, the key point is simple. When Copilot has context, its value changes.

Productivity expectations versus reality

One uncomfortable truth sits underneath much of the current AI conversation. Some teams have access to AI but still struggle to apply it effectively.

This includes users of ChatGPT.

In most cases, the tool is downloaded or accessed, people start using it immediately and that is where the journey stops. There is little or no education, no structured approach and no understanding of how to work with the tool rather than simply asking it questions.

The result is predictable. AI is used in a simplistic way. Outputs feel helpful in the moment, but they do not translate into sustained productivity gains.

This is not a prompt problem.

It is an approach problem.

Effective use of AI is not about having a single good prompt. It is about having the right approach, supported by appropriate prompting techniques, that align to the task someone is actually trying to complete.

This gap is one of the main reasons we started this exploration. Despite widespread usage of tools like ChatGPT, many organisations are still effectively at square one when it comes to real AI-driven productivity.

When AI is disconnected from how people actually work, and when people are not shown how to apply it to their tasks, adoption stalls and value leaks away.

What this series will cover

This post sets the foundation. The rest of the series builds on it with practical observations from real use.

• Post 2. Copilot Chat vs ChatGPT free. Why one often feels better and the other often works better
• Post 3. Copilot Chat inside Microsoft 365 apps. Where real productivity begins to appear
• Post 4. Security, trust, and compliance. Why this conversation can no longer be avoided
• Post 5. Microsoft Copilot vs ChatGPT for Work: How to Choose. The role of contextual, task‑based enablement

Closing thoughts

This series is not about promoting one tool over another. It is about helping organisations make better starting decisions.

If you are already an eligible Microsoft 365 business customer, Copilot Chat is worth evaluating as a starting point. The rest of this series explains why.

This article reflects our testing and product experience in January 2026. Microsoft and OpenAI continue to update their products, plans and usage limits.