AI could be your workplace’s secret weapon to end “digital friction” – here’s how

Modern work in 2026 is not short of software, but it is still full of drag.

A simple task can quickly spread across an inbox, a Teams thread, a shared document, a spreadsheet, and three half-remembered decisions from last week’s meeting.

None of those steps is especially difficult on its own, but taken together they slow everything down.

AI’s most useful role in the workplace may be removing that friction, rather than replacing workers wholesale.

For organisations already using Microsoft 365, tools such as Copilot and AI agents can help employees catch up, find context, turn information into usable work, and move between tasks with fewer manual steps.

Please note: All of the information is correct as of May 2026. Microsoft regularly updates its products, so some steps or features may change.

What digital friction looks like

Essentially, "digital friction" is the gap between knowing what needs to be done and actually getting it finished.

It is not usually one broken process or one badly chosen tool, but the accumulation of small gaps between people, information, and action.

In practical terms, it shows up mostly as extra effort.

Employees spend unnecessary time piecing together context, checking what changed, confirming what was agreed, and turning scattered information into something usable.

The work still gets done, but it takes more energy than it should. Over time, that friction can make even well-equipped teams feel slower, busier, and less focused than they really are.

AI inside the flow of work

AI is most useful when it does not feel like another system to manage.

Most employees already spend much of their day inside familiar tools, so the real value comes from bringing help into those same spaces rather than asking people to move elsewhere.

Microsoft 365 Copilot is built into that everyday workflow across apps such as Teams, Outlook, Word, and Excel, helping summarize information, draft content, analyse data, and refine existing work.

The result is – or should be – a working day with fewer detours, fewer manual steps, and less time lost to the 'machinery' around the job.

Catching up faster

The working day often begins with recovery: Messages have arrived overnight, meetings have moved on, documents have changed, and so on.

This situation is a good fit for workplace AI because the task is simple, but time-consuming: work out what changed, what was agreed, and which parts need attention next.

In Teams and Outlook, Copilot can help summarize conversations, pull out actions, and give people a quicker way back into the work without trawling through every message manually.

Turning scattered information into action

Catching up is only useful if it leads somewhere. Once the immediate picture is clear, someone still has to turn that context into the next version of the work.

Microsoft 365 Copilot can help shorten that step inside the apps where those outputs are created.

In Word, it can help shape rough material into a more usable draft; in Excel, it can help interrogate data and explain what is happening in plain language; and in PowerPoint, it can help turn source material into a clearer narrative.

As time goes on, Microsoft is set to expand these AI-enabled capabilities to virtually all of its apps and services, meaning workers of every kind can benefit no matter where they are.

Why context matters

AI gets a lot more useful when it can see what you are actually working on.

A blank chatbot can still help with a rough draft or a quick explanation, but most workplace tasks come with baggage.

There's a project history, a previous decision, a customer requirement, a half-finished file, and a team that already has its own way of talking about the work, all of which are vitally important in their own way.

Microsoft 365 Copilot can work with the information sitting across Microsoft 365, including documents, emails, meetings, and chats, so its responses are shaped around the job at hand.

You still need someone to check the details, apply judgement, and decide what happens next, but the starting point is closer to the work in front of you.

From Copilot to agents

There is a wider version of this idea beyond the individual employee. Once AI is useful inside a document, meeting, or inbox, the next question is where it can support the processes that run across a whole business.

AI agents bring that into more structured territory. Built through tools such as Copilot Studio, they can be designed around a specific function, dataset, or workflow, then made available to the people who need them.

A company might use an agent to help staff navigate internal policies, prepare information for customer teams, or bring together the right material for a recurring business process.

While an AI agent is unlikely to replace the whole work of an employee anytime soon, there are many (boring) areas where it can be effective, freeing up human hours to focus on work such as bigger-picture strategy.

Keeping AI under control

As AI becomes more useful, businesses need a clear view of where it is being used and what it can access.

The same features that make workplace AI powerful – company data, connected apps, shared files, and automated workflows – also make oversight essential.

For Microsoft customers, this is where governance becomes part of pure productivity. Admins need ways to manage permissions, monitor agents, apply security policies, and keep sensitive information inside the right boundaries.

Without that layer, AI can become another source of sprawl: useful in pockets, but hard to manage at scale.

Good governance should ultimately make AI easier to trust and easier to use. Employees get clearer rules, IT teams get better visibility, and the business can expand from small experiments to broader adoption without losing control.

How to start removing friction

For most organizations, the best starting point is usually the part of the working day people already complain about.

Start by looking for the places where teams lose time finding information, catching up, reshaping material, waiting for approvals, or moving the same details between different tools.

From there, AI becomes easier to apply sensibly. Copilot can help inside the Microsoft 365 apps people already use, while agents can support the more repeatable processes that sit across teams.

Digital friction will not disappear from every corner of the workplace. But when AI is grounded in the right context, built into the right tools, and governed properly, it can start to remove the small obstacles that make modern, computer-centric work feel harder than it needs to be.