Control over AI
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AI governance 6 min read

We have Copilot. Why do employees still use other AI tools?

The organisation bought a safe route, and yet ChatGPT, Perplexity and Gamma are open in the browser. That is not disobedience. It shows what people are trying to get done, and where the preferred route apparently falls short.

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Quick answer

Employees use other AI tools next to Copilot because they are trying to get something done for which Copilot is not the obvious route: a presentation that looks good straight away, research with sources, a longer text, or the tool they are used to, with a free account that already existed. That is not disobedience, it is information. The organisation does three things with it: see which tools are in use, take a decision per tool (allow, allow with a condition, not allow, or name Copilot as preferred route), and show that decision at the moment someone opens the tool, so the counts reveal whether the route is followed.

01

Copilot is strong at Microsoft 365 work and not the natural tool for every task

02

Habit, speed and a free account that already existed outweigh policy on paper

03

The interesting question is not who ignores the policy but what someone is trying to achieve

04

A decision per tool can also mean naming Copilot as the preferred route

05

Whether the route is followed shows in counts per tool, not in names

In a team meeting at a consultancy, a consultant shows a presentation she built in Gamma. The director asks why not in PowerPoint with Copilot, since that is what the firm pays for. The answer comes without hesitation: "This was done in ten minutes and it looked right straight away."

That answer is the whole explanation. Employees use other AI tools not because they ignore the policy, but because they are trying to get something done for which Copilot is not the obvious route at that moment. Reading that as disobedience misses the information it carries.

What are they trying to achieve?

Copilot is strong at the work that happens inside Microsoft 365: summarising an email thread, rewriting a document, reducing a Teams meeting to action points. A lot of work sits outside that, and that is where the other use begins.

A presentation that looks good without design work is what Gamma is for. Images and layout are what Canva is for. Research with sources attached is why people open Perplexity. A long text in a particular tone, or a piece of code, they do in ChatGPT or Claude, because they know what comes out. And next to the familiar names sit the specialist tools: transcription, legal search, data analysis, each with an AI layer of its own.

Then there is habit. Someone has used ChatGPT privately for a year, knows how to ask, has projects and a history there. The free account existed before the organisation bought Copilot, and a tool that is already open beats a button you still have to find. Speed works the same way: the chatbot tab is already there, the Copilot pane in Word still has to be opened.

What someone is afterWhere it comes fromWhat it asks of the organisation
A task Copilot does not do wellPresentations, images, research with sources, codeA decision about that tool, not about Copilot
A tool that is already familiarHabit, history, a free account that already existedAn explanation of why the preferred route differs
Speed in the momentThe tab is already openMaking the preferred route visible at that moment
Better results for a specific taskPeople compare answersBeing honest about where Copilot is not the best
A feature Copilot lacksA specialist AI layer in a professional toolA decision per specialist tool, with a condition

None of those reasons is unreasonable. They are the reasons people use AI at all: it makes the work easier. The question for an organisation is not how to stop that, but how to handle it maturely.

Is it a problem?

That depends on two things: which tool, and which account. Using Perplexity to search public case law is different from pasting a client file into a ChatGPT account under consumer terms, where input can be used for training by default and no data processing agreement sits underneath. The account type weighs more than the name of the tool.

The real problem is usually not the tool. It is that the organisation does not know it is in use, and so has decided nothing about it. That is exactly what shadow AI is: a tool anyone can start on their own, with no decision behind it, and in actual use. Buying Copilot changes nothing there, because the decision was about Copilot.

What do you do with it?

First, see which tools are in use. Not through a survey, because people name the tools they remember, but through what gets opened in the browser. A consultancy with Copilot in its bundle saw eleven AI tools in use after a month. Copilot was at the top, ChatGPT just below it, and Gamma was opened daily in one team. For four of the eleven, nothing had been decided.

Then a decision per tool. That does not have to be a ban. The four outcomes are allowed, limited use (with a condition the organisation writes itself, such as "public information only"), no decision yet, or not allowed. And every decision comes with the question: which tool do we point to as the alternative? Naming Copilot as the preferred route is a decision too, and a stronger one than a ban, because it answers what someone was trying to do.

That decision then has to land where it matters: at the moment someone opens the tool. A policy document on the intranet does not reach that moment. A notice in the browser does, with the allowed alternative as the first button and the option to continue anyway. This is what that register looks like, with the decision the organisation took per tool:

Search tool, vendor or categoryโ€ฆ
865 tools
ChatGPT๐Ÿ‡บ๐Ÿ‡ธ
HighAllowed
Claude๐Ÿ‡บ๐Ÿ‡ธ
MediumAllowed
DeepSeek๐Ÿ‡จ๐Ÿ‡ณnew
CriticalNot allowed
Perplexity๐Ÿ‡บ๐Ÿ‡ธnew
MediumNo decision yet
Mistral๐Ÿ‡ซ๐Ÿ‡ท
LowNo decision yet
Midjourney๐Ÿ‡บ๐Ÿ‡ธ
MediumNo decision yet

Every tool, scored for risk

865 AI tools, each scored Low to Critical, with nothing pre-approved or pre-blocked until someone decides.

More about AI Tools

BeeSensible links a catalogue of 865 AI tools to the use observed in the organisation, and an admin records the decision per tool, including the alternative the notice points to. The usage data contains only the tool's domain, at most once per day per device, with no user id and no content. What else the module does is on the product page.

How do you see whether the route is followed?

From the counts, and only from the counts. The share of AI use that runs through allowed tools, and its trend. How often a tool that is not allowed is still opened. How often people pick the alternative after a notice, and how often they continue. Those are figures about the organisation, not about people, and they tell you whether the decision lands in practice.

If the share through Copilot rises after you name it as the preferred route, the route works. If Gamma stays open daily, that is not a discipline problem but a signal that Copilot is no alternative for that task. Then the decision about Gamma is next, not a sterner message about Copilot.

Blocking looks like the shorter path, and it is not. It moves the use to private devices and personal accounts, and with it disappears exactly the visibility you needed in order to decide. The wider decisions around Copilot, from which variant to who reviews a new use case, are in Microsoft Copilot governance; the rest of the subject is collected in the AI governance cluster.

What you do differently now: the next time someone shows a Gamma presentation, you do not ask why not in Copilot, but what Gamma does that Copilot does not. The answer is a decision that still has to be taken.

FAQ

Common questions

Why do employees use ChatGPT when we have Copilot?

Rarely out of unwillingness. Someone is used to ChatGPT, has a free account that already existed, finds the answers better for a particular task, or does work that sits outside Microsoft 365. Copilot is strong at email, documents and meetings; for a presentation design or research with sources, people reach for the tool that gets it done fastest.

Is using other AI tools next to Copilot a problem?

That depends on the tool and the account. Using Perplexity for public sources is different from pasting a client file into a free ChatGPT account under consumer terms. The problem is usually not the tool itself, but that nothing has been decided about it and the organisation does not know it is in use.

Should we block other AI tools to enforce Copilot?

Blocking moves the use to private devices and personal accounts, where you no longer see it. A decision per tool, shown at the moment someone opens the tool, with Copilot as the suggested alternative, leaves the choice with the employee and gives the organisation figures on whether the route is followed.

How do you name Copilot as the preferred route?

By recording per tool what the decision is and which allowed alternative goes with it. When someone opens a tool that is not allowed, that decision appears in the browser with the alternative as the first button. Continuing stays possible. The preferred route becomes visible at the moment it matters, instead of in a policy document.

How do you see whether the preferred route is followed without tracking employees?

By counting per tool, not per person. How often each tool is opened, what share of AI use runs through allowed tools, and how that share moves over time. Those figures carry no user id and no content, and they are enough to see whether the decision lands in practice.

Portrait of Rens Timmermans of BeeSensible

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