Microsoft Copilot is the AI assistant built into Microsoft 365 apps, Windows, Edge, Bing and Microsoft Advertising. In client campaigns it is most useful for the work around the ads: summarising meetings, drafting reports in Word, analysing exports in Excel and generating ad assets inside Microsoft Advertising, with human review on everything the client sees.
Many agencies treat Copilot as just another chatbot. Its real advantage is that it works inside the files, emails and meetings where campaign work already happens, and respects the organisation’s existing permissions.
What are the different Copilots?
The name covers several products, which causes confusion.
- Microsoft 365 Copilot: works in Word, Excel, PowerPoint, Outlook and Teams, grounded in the user’s work data through Microsoft Graph; a paid business add-on.
- Copilot Chat: a web-grounded chat available to business users, with enterprise data protection when signed in with a work account.
- Copilot in Microsoft Advertising: helps create ad copy, images and campaign settings, and answers questions about performance.
- Copilot Studio: a tool for building custom agents connected to company data and systems.
- The consumer Copilot app and Copilot in Bing and Edge.
Features and licensing change often. Check current Microsoft documentation before planning a workflow around a specific capability.
Where does Copilot save time in campaign work?
Meetings and briefs
Copilot in Teams can summarise a client call, list decisions and action items, and answer questions about what was said, provided transcription is enabled. A campaign brief can then be drafted in Word from the meeting summary and the client’s previous documents.
Data analysis
In Excel, Copilot can explain trends, create pivot tables and suggest formulas on exported campaign data. It works best on well-structured tables with clear headers. For example, an export from Microsoft Advertising or Google Ads can be summarised by campaign and device in minutes.
Reports and presentations
Copilot in PowerPoint can build a first draft of a monthly report from a Word document or an outline. The draft needs heavy editing for structure and accuracy, but it removes the blank-page step.
Ad creation in Microsoft Advertising
Inside Microsoft Advertising, Copilot can suggest headlines, descriptions and images for responsive search ads and Performance Max campaigns, based on the advertiser’s website. It can also answer performance questions in plain language.
What should you watch out for?
- Oversharing: Copilot shows users anything their permissions allow, so poorly set SharePoint permissions can surface files they should not see.
- Accuracy: summaries can miss nuance or attribute statements to the wrong person.
- Calculations: Excel analysis should be checked against the raw data, especially percentages and totals.
- Generic copy: suggested ad text often needs specific offers, terms and brand voice added.
- Client confidentiality: some contracts restrict how client data may be processed by AI tools.
How Alien Road applies Microsoft Copilot in client work
In a typical engagement, Copilot sits inside the team’s existing Microsoft 365 environment. Discovery includes checking the client contract and data processing terms to confirm that using Copilot on their materials is allowed. Client folders in SharePoint are permissioned so only the account team can access them.
During setup, the team uses Teams meeting summaries as the starting point for briefs, and every summary is checked by the account lead before it becomes a task list. Campaign exports are analysed in Excel with Copilot, and any figure that goes into a report is traced back to the source table.
For Microsoft Advertising clients, Copilot’s ad suggestions are used as a draft pool. Copywriters select, edit and add specifics, then responsive search ads are tested with a mix of human-written and edited AI headlines. Measurement follows click-through rate, conversion rate and ad strength by headline source. Reporting is drafted with Copilot in Word and PowerPoint, then rewritten and checked by the analyst who owns the account.
Which data rules should an agency set?
Microsoft states that Microsoft 365 Copilot does not use customer prompts or work data to train its foundation models, and that it respects existing access controls. That still leaves agency-level decisions.
- Which client data may be used with Copilot, recorded per client.
- Who reviews AI-generated content before it is sent to a client.
- How meeting recordings and transcripts are stored and for how long.
- A rule that every number in a report is checked against its source.
Is Copilot worth the licence?
For teams that spend much of their day in Outlook, Teams, Word and Excel, the time saved on meeting notes, first drafts and data summaries often justifies the cost. For people who mostly work in ad platforms and design tools, the gain is smaller. A pilot with a few heavy Microsoft 365 users usually gives a clearer answer than a company-wide rollout.
Training the team
Copilot results depend heavily on how people ask. A short internal guide with five or six tested prompts per task, such as summarising a client call, comparing two months of campaign data or drafting a report section, raises the quality of output across the team. Update the guide when someone finds a better approach.
Run a short session where each person brings one real task and works through it with Copilot while others watch. People learn more from seeing a colleague’s prompt fail and then succeed than from any vendor demo.
Copilot and client-facing work
Nothing drafted by Copilot is sent to a client without a named person reading it in full. That rule sounds obvious, yet it is the one most often broken when deadlines are tight. Writing it into the account process, with the reviewer’s name on each report, keeps it from slipping.
Where to start this week
Take one recent client call recorded in Teams and ask Copilot for decisions, open questions and action items. Compare the result with your own notes and mark what it missed.
Then export last month’s campaign data into Excel and ask Copilot for the three biggest changes. Check each against the raw numbers. These two tests show quickly where Copilot is reliable for your work and where it still needs a careful eye.
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