Thought Leadership

There is a familiar pattern that plays out whenever a new technology enters the workplace. Adoption happens. Understanding does not.

Microsoft Copilot is the latest example. Organizations have purchased licences, ticked the deployment box and moved on. Employees are using Copilot to draft the odd email or summarize a document. Then they close the tab and get back to work. What very few of them realise is that they have barely scratched the surface.

Switching between Web and Work

Let us start with something deceptively simple: the Work and Web toggle. Copilot has two distinct modes. Work connects to your internal organisational data, your calendar, your emails, your OneDrive. Web reaches outward to the internet. Most users never consciously switch between them. They run every query in the same mode, unaware that they are either pulling in internal context where they do not need it or ignoring it where they do. Knowing when to use each is not a technical skill. It is a strategic habit.

Customization

Then there are Custom Instructions. This is where Copilot stops behaving like a generic tool and starts behaving like a colleague who actually knows you. You can instruct Copilot to always write in British English, to keep emails concise, to avoid certain phrases, to sign off in a particular way. Once configured, those preferences carry across every interaction. The tragedy is that very few users have ever visited the settings panel where this lives.

What truly reframes the conversation, however, is understanding Copilot's capacity for automation. Prompts are not just one-time queries. They can be scheduled. Imagine receiving a monthly briefing on your sector, compiled automatically and delivered to your inbox without you lifting a finger. That shifts Copilot from a reactive assistant to a proactive service. The distinction matters enormously for how leaders should think about AI capability.

Using Agents

The session also covered agents, both pre-built and custom. The pre-built Analyst agent, for example, does not just read a document. It interrogates it. When given a business plan, it identified the three questions a serious investor would most likely ask, working through the document with the kind of structured rigour you would expect from a trained analyst, not a chatbot. That is not automation of routine tasks. That is augmentation of expert judgement.

Creating a custom agent takes minutes. In the session, a "pitch practising partner" was configured, linked to a specific business document and instructed to quiz the user as a business analyst would. The sophistication of what is possible is genuinely underestimated.

Powerful integrations

Finally, the integrations within Word, Excel and PowerPoint have moved well beyond cosmetic assistance. Copilot in Excel can build charts, create new tabs and apply formulas from a single conversational prompt. In PowerPoint, it can identify where to place a visual element and insert it automatically. These are not parlour tricks. They are genuine time savings at scale.

The broader point is this: Copilot's value is not unlocked by ownership. It is unlocked by understanding. The organisations that will pull ahead are not those with the most licences. They are those who invest in building the capability to use them well.

That is precisely what the Execution layer of the PEJ framework is designed to address. Knowing you have a tool is not the same as knowing how to use it purposefully.

Get in touch with Dixon AI to learn more about how the PEJ framework could support your firms AI journey.