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Preparing your Microsoft 365 digital workplace for AI 

2 min

AI will only be as trustworthy as the information it is built to retrieve.

 

  • Suzy Dean is a Microsoft MVP and CEO at Addin365 

  • Data & Insights
  • Internal Comms

Many organisations are racing to layer AI such as Copilot into their Microsoft 365 digital workplace, hoping for instant productivity, better knowledge sharing and an improved digital employee experience. Where AI can create clarity, it is not a given that it will do so because it amplifies what is already there. If your intranet is cluttered with duplicate files, stale policies and disconnected site structures, AI will not resolve that complexity; it will surface it faster and at greater scale. For internal communicators, that matters because the issue is no longer just findability, it is trust. 

When employees ask AI a question, they assume the answer has authority. But if it draws on contradictory content or outdated guidance, misinformation can spread quickly, compliance exposure grows and confidence in the digital workplace erodes. That is why the conversation about AI in internal communications cannot begin at rollout. It has to begin with an assessment of whether your content estate is fit for AI – whether you opt to build your own agent or deploy Copilot, in the first place. 

That means doing the less glamorous work. Content has to be current, owned and clearly labelled so the system can distinguish signal from noise. If the information your AI draws from is outdated, every answer downstream is weakened with it. AI will not figure it out on your behalf. It will bring contradictions to the surface, elevate the wrong sources and make unreliable information feel credible. But content alone is not enough. Structure matters just as much. If information is organised around internal hierarchy rather than how work is actually done, AI will still return partial or disconnected answers. It may do it quickly, but speed does not make confusion useful. 

Once content has been cleansed then there is the need for governance to ensure content stays up to date and AI remains performant. Content review cycles, an automated archive and delete mechanism, ownership validation and permissions reviews are all required to ensure that there is no regression in quality over time. Once AI is in the mix, weak governance does not sit quietly in the background, it becomes visible and operationally risky. The good news is that SharePoint AI and SAM provides much of this out of the box in Microsoft 365 and just needs configuring.  

When you think you are ready, using recent searches to test real queries to check whether responses are accurate, relevant and complete, and whether gaps or conflicts appear under real conditions, is a good last step.  

This is why I believe the organisations that will get real value from AI are not the ones rushing to layer it into a cluttered intranet. They are the ones willing to do the unglamorous work first: clean up content, fix structure, enforce governance and test properly. That work may not sound like innovation, but it is what makes innovation dependable.