Written by Eve Oliver, Marketing Manager at CSG Computer Services Ltd and a CyberFirst ambassador as part of the National Cyber Security Centre [NCSC].
As businesses increasingly adopt Microsoft Copilot for business, I’ve had the opportunity to see first-hand how organisations are using AI tools to improve productivity, collaboration and decision-making. But I’ve also seen some common mistakes that can limit the effectiveness of Copilot [or worse, introduce usage risks!]
If you’re looking for a practical Copilot how-to guide or actionable Copilot tips, these are the top 8 mistakes I always advise organisations to avoid:
1. Poor data governance & access controls
One of the most common issues I see is organisations deploying Copilot without reviewing who has access to what... In one scenario, teams had broad access to shared folders they didn’t need. When Copilot was introduced, it began surfacing content from those areas, which then creating confusion and potential data exposure risks.
Copilot respects permissions but if your access controls are too open, it will amplify that issue and lead to people who weren’t supposed to access the folder be able to access it!
My tip: review permissions and enforce least privilege access before you provide Copiot to your team.
2. Lack of data classification & sensitivity labels
In our industry, we work frequently with businesses where we found that critical documents, contracts and internal reports were stored with no clear classification. It’s important to know that without Microsoft Purview sensitivity labels, Copilot cannot distinguish between general content and highly confidential information.
Copilot doesn’t inherently “understand” importance so classification helps guide you and your colleagues with how content is handled and surfaced.
My tip: implement data classification and sensitivity labelling to protect and prioritise business-critical data.
3. Assuming Copilot queries external internet data
This is a big misconception I hear regularly and I’ve seen teams assume Copilot would pull in market data, competitor insights or the latest industry trends [only to realise it was working solely from internal files!]
Copilot primarily uses your Microsoft 365 tenant data and Microsoft Graph. If the information isn’t there, outputs may appear complete but they are actually produced without any external context.
My tip: always validate and ask Copilot for sources used and gaps identified.
4. Not preparing your Microsoft 365 environment
Data quality is everything. In one organisation we reviewed, duplicate documents existed across Teams, SharePoint and OneDrive. Copilot pulled from multiple versions which led to inconsistent responses.
Visual it like this, “AI in = AI out.” Poor data hygiene leads to poor AI outputs.
My tip: clean up your environment by removing duplicates, archiving outdated files and structuring content clearly!
5. Forgetting connectors & plugins are optional
Another assumption I often see is that Copilot has access to everything. A business expected Copilot to integrate with their CRM system but the connector hadn’t been enabled, resulting in incomplete insights. Copilot only uses data from approved and configured connectors!
My tip: identify key systems [CRM, service desk, finance platforms] and ensure connectors are correctly set up.
6. Over-trusting generated numbers & statistics
Copilot is used for lots of daily tasks, but let’s admit, it’s not perfect when it comes to numbers. I’ve seen cases where summaries included estimated figures due to unclear or inconsistent underlying data. If your data sources are messy, Copilot can produce plausible but inaccurate metrics.
My tip: when working with data, always prompt: “Show the calculation and source data used.”
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7. Not prompting for sources or gaps
One of the simplest but most overlooked Copilot tips is how many users accept answers at face value instead of asking what data Copilot used, or what it couldn’t find.
Without this, it’s easy to become overconfident in outputs that may be incomplete.
My tip: use this prompt structure: “List the sources you used, and what you couldn’t access or find.”
8. No security baseline [MFA, Conditional Access, Zero Trust]
This is arguably the most critical. I’ve seen organisations adopt Copilot before implementing multi-factor authentication [MFA] or conditional access policies, significantly increasing risk exposure. Copilot increases access to data, so weak identity security can be exploited more quickly.
My tip: before deploying Copilot, ensure:
- MFA is enforced
- Conditional access policies are in place
- A zero trust security model is followed
From our experience supporting organisations across Wales and beyond with Copilot adoption, the success of Copilot for business doesn’t come from the tool alone, it comes from:
- Strong data governance
- Clean, structured Microsoft 365 environments
- Top-level cyber security foundations
- Informed, confident users
When these are in place, Copilot becomes a true productivity multiplier, helping teams work smarter, faster and more securely.
Need support with Copilot adoption?
At CSG, we help organisations:
- Prepare their Microsoft 365 environment
- Implement secure Copilot adoption strategies
- Align AI tools with business goals
Get in touch today to start your Copilot journey the right way.
