Is There a Free Tool to Track Employee AI Usage? Yes. Here's How It Works.
- Tom Foreman
- 1 day ago
- 6 min read
You bought the software. You sat through the demo. You signed the contract, sent the announcement email, and watched your team nod along in the all-hands meeting.
Three months later you have a nagging feeling that nobody is actually using it.
If you rolled out Microsoft Copilot, a new AI writing tool, or any AI-enabled platform in the last year, this feeling is not paranoia. It is almost certainly accurate. Microsoft's own research has found that 87% of AI agent projects never reach full deployment.
Gartner has reported that in the insurance industry alone, less than 7% of companies believe they have enough information to even know whether their AI implementation is working. And those are enterprises with IT departments, implementation teams, and dedicated project managers.
If you are running a small or mid-sized business, the odds that your AI rollout is going exactly as planned are not in your favor — and the frustrating part is that you probably have no way to tell.
Until now.
The Adoption Problem Nobody Talks About
Buying an AI tool and actually embedding it into how your team works are two completely different things. The purchase is easy. The adoption is hard, slow, invisible, and almost never what leadership assumes it is.
Here is what adoption failure looks like in practice. Your team gets access to Copilot or whatever tool you deployed. A few people try it, get inconsistent results, and drift back to their old workflow. A few more never open it at all. One or two people genuinely figure it out and start getting real value — but they are not telling anyone because they do not want to seem like they are showing off, or they have quietly decided it is their competitive edge and they are keeping it to themselves.
Meanwhile, you are paying per seat. Every month. For licenses that may be sitting largely unused across your organization while a handful of early adopters generate all the return and the majority of your team keeps doing things exactly as they did before you signed the contract.
You cannot fix an adoption problem you cannot see. And right now, most small business owners cannot see it.
Why Every Other Solution Is the Wrong One for You
If you search for tools to track employee AI usage, every result you find will point you toward the same category of software — enterprise workforce monitoring platforms like Teramind, ActivTrak, and similar tools. These platforms track keystrokes, record screens, log individual prompts, monitor mouse movements, and generate detailed surveillance reports on employee behavior.
They are built for IT security departments at companies with hundreds or thousands of employees, compliance teams, and dedicated legal resources to manage the employee relations implications of deep behavioral monitoring. They are not built for a business owner who just wants to know whether the Copilot licenses they are paying for are getting used.
Beyond the cost — which typically runs into thousands of dollars per year before any enterprise negotiation — the deeper problem with surveillance-grade monitoring is what it does to your team. When employees find out they are being tracked at the keystroke level, trust erodes. Your best people — the ones with options — are the first to notice and the first to start looking elsewhere. The surveillance creates a new problem while solving a much smaller one.
There is a better way.
What Crow Does and Why It Is Different
Crow is morriganAI's free AI footprint tool, and it was built specifically for the situation most small business owners are actually in: you need to understand what is happening with AI across your organization, you do not have an IT department to run a complex implementation, and you are not willing to surveil your team to get the answer.
Here is what makes Crow different from everything else available right now.
It is actually free. Not free trial, not freemium with the useful features locked behind a paywall. Crow is free to download and run during its current beta. No credit card. No contract. No demo required.
It installs in under sixty seconds. Crow deploys as a Windows application, a Chrome browser extension, or both. There is no complicated setup, no IT involvement required, and no configuration before you start seeing data. You install it, and within fifteen minutes you have a dashboard showing you what is actually happening with AI across your organization.
It never reads your content or collects personal data. This is the distinction that matters most. Crow does not read what your employees type. It does not capture prompts, record screens, or log individual messages. It measures information flow patterns — whether activity on a device involves AI or not — without ever touching the content of that activity. No personally identifiable information is collected or stored. Your employees' privacy is protected and your data stays yours.
It shows you adoption, not just usage. This is the question that actually matters for a business owner who has deployed AI tools: not whether AI exists somewhere in your organization, but whether it is genuinely embedded in how your team works. Crow surfaces the difference between an organization where AI adoption is real and spreading, and one where a single enthusiastic employee is generating all the AI activity while everyone else carries on unchanged.
What You Actually Learn From Crow
The dashboard Crow gives you answers the questions that actually keep business owners up at night.
Are my AI tools getting used at all? If you deployed Microsoft Copilot and three of your twenty licensed users have touched it in the past thirty days, you will see that. If usage has been growing steadily since deployment, you will see that too. The picture is honest and specific — not self-reported, not based on what your team tells you in a survey, but based on what is actually happening on your devices.
Who are my tech champions? Inside almost every organization there are one or two people who figured out how to use AI tools before anyone else and are generating real productivity gains from them. These are the people who should be training the rest of your team. Without visibility into AI adoption patterns, you often do not know who they are. With Crow, they surface immediately — the employees whose work patterns show consistent, integrated AI usage rather than occasional experimentation.
Who needs more support? On the other end of the spectrum, Crow shows you which team members have low or no AI activity. That is not necessarily a performance issue — it may mean they need better training, better access to tools that fit their workflow, or a direct conversation about how AI can make their specific job easier. The data opens the door to a productive conversation rather than a punitive one.
Am I getting value from what I am paying for? This is the question with the most direct financial answer. If you are paying for ten Copilot seats and consistent data shows that two of them are generating meaningful AI activity while eight are essentially unused, you have a clear picture of where your software budget is going and what to do about it. Cancel the unused seats, redirect the budget, or invest in training before the next renewal cycle — but make the decision based on real data rather than assumption.
The Math on Wasted AI Software Spend
The Copilot scenario is worth sitting with for a moment because the numbers get uncomfortable quickly. Microsoft's AI licensing can scale significantly depending on your plan and usage tier. What starts as a manageable per-seat cost becomes a serious line item when seats multiply and adoption lags. A business paying for twenty seats with five percent genuine adoption is not making a small mistake. It is burning money on software that has become a line item rather than a tool, every single month, until someone decides to look at the actual usage data.
Crow makes looking at that data free, fast, and honest. If your AI investment is working, you will see it confirmed. If it is not, you will know before the next renewal — with enough time to course-correct rather than simply paying for another year of underperformance.
What the White Glove Option Adds
Crow's free download gives you the dashboard and the data. If you want someone else to handle the entire process — installation across all your devices, ninety days of monitored data collection, and a dedicated sixty-minute readout session walking you through exactly what was found and what it means — that is morriganAI's White Glove service.
The White Glove is a flat $500. No ongoing fees. Two calls — one at the start, one at the end. morriganAI handles everything in between. For a business owner who has enough on their plate already, it is the version of this process that requires the least from you while still giving you the complete picture.
The Question Worth Asking Today
You already made the decision to invest in AI tools for your business. That decision was the right one. The question that often does not get asked until something goes wrong is whether that investment is actually paying off — and for most small business owners, the honest answer is that they do not know.
Crow makes it possible to know. For free. In fifteen minutes.
morriganAI builds tools that help small and mid-market businesses understand their AI Identity — how their people and AI tools actually interact inside their operations. Based in Des Moines and Chicago, serving businesses across the Midwest.
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