When Does It Matter to Know How Your Company Is Using AI? Measuring AI Success Is Easier Than You Think.
- Tom Foreman
- Jun 8
- 6 min read
Most business owners deploy AI and then move on.
They buy the licenses. They announce the rollout at an all-hands meeting. They wait for the productivity bump. And then they go back to running the business assuming the AI is doing what it was supposed to do because nobody has told them otherwise.
That assumption is comfortable. It's also increasingly dangerous, not because AI is harmful in itself, but because the moment is coming when someone is going to ask you directly how your company is using AI and whether it's actually working.
That moment arrives faster than most business leaders expect. And the owners who can answer it confidently are building competitive advantage. The ones who can't are walking into some of the most uncomfortable conversations a business leader can have.
The Questions You Need to Be Able to Answer - Measuring AI Success
Picture yourself in any one of these situations.
Your board of directors calls a quarterly review. One of your board members, the one who always asks the hard questions, leans across the table and says: "We've been investing in AI tools for eight months. What's the return? Which parts of the organization are actually using them? What has changed?"
Or your largest commercial client sends a compliance questionnaire. One of the line items reads: "Please describe your organization's AI tool usage, including which tools are in use and how client data is handled within those systems."
Or a new employee - senior, experienced, well-connected - joins your leadership team and asks in their first week: "What does our AI adoption actually look like? Who are our power users? Where are we ahead of competitors and where are we behind?"
Or simply your own leadership team, in a strategic planning session, turns to you and asks: "Is our AI investment working? Can we prove it?"
If any of those questions makes you pause, if the honest answer is some version of "I think it's working but I'm not entirely sure", that's the moment knowing your company's AI footprint stops being optional and starts being essential.
The Insurance Broker Who Didn't Know How To Measure AI Sucess
Sandra runs a 35-person insurance brokerage. She's a sharp operator, good with clients, respected in her market, intentional about how she runs her firm.
Two years ago Sandra made a deliberate decision to embrace AI. She approved six AI tool subscriptions across her team, writing assistants, summarization tools, a client communication platform with built-in AI features, and a proposal generation tool that her sales team was supposedly going to love. Total annual spend just under $1,200.
She felt good about the decision. The vendors had been persuasive. The demos were impressive. The team had seemed enthusiastic at the announcement.
Eight months later Sandra was in a client meeting when the client mentioned — almost as an aside — that the proposals they'd been receiving lately felt a little generic. Less specific to their situation than they used to be. Had something changed?
Sandra said nothing had changed. She went back to the office and started asking questions.
What she found was uncomfortable. Two of the six tools had never been used after the first two weeks. One was being used by exactly one person — an intern who had since left. The proposal generation tool her sales team had supposedly embraced had been quietly abandoned three months in because it kept producing outputs that required more editing than just writing the proposal from scratch. And the client communication platform with AI features had been used once, for a test email nobody sent.
Sandra had spent $1,200 on AI subscriptions over eight months and her team had reverted almost entirely to doing everything manually. The generic proposals her client mentioned weren't AI-generated, they were the result of a team that had stopped investing effort in personalization because they assumed the AI was handling it. It wasn't. Nobody had told Sandra because nobody wanted to admit the rollout had failed.
She didn't have a budget problem. She didn't have a team problem. She had a visibility problem.
She had no way to know her AI deployment had failed because she had no way to see whether her AI was being used at all.
Why Knowing Your AI Footprint and Measuring AI Success Is a Competitive Necessity For Your Company
Sandra's story isn't unusual. It's the version of AI deployment that plays out inside small businesses across every industry every day — quietly, invisibly, with real financial and competitive consequences that accumulate long before they surface.
The companies that are pulling ahead on AI adoption right now are not necessarily the ones who deployed the most tools or spent the most money. They're the ones who can see what their AI is actually doing — and use that visibility to make better decisions about where to invest, where to pull back, and where the real competitive opportunity lives.
Specifically — knowing your company's AI footprint gives you three things that every business leader needs right now.
The ability to find your tech champions: Every organization has them. The employees who figure out how to use AI tools before anyone else, build workflows that amplify their output, and produce results that look like magic to everyone around them. Most business owners have no idea who these people are because their AI activity is invisible. Your tech champions are your most valuable competitive asset for AI adoption. Knowing who they are lets you learn from them, recognize them, and scale what they've figured out across the rest of the organization.
The ability to measure actual AI ROI: You cannot measure the return on an AI investment you cannot see. Knowing which tools your team is actually using, how frequently, and whether that usage is concentrated or distributed gives you the baseline data required to make a genuine ROI assessment and the ongoing monitoring capability to know whether that picture is improving or deteriorating over time.
The ability to keep up with competitors: Your competitors are deploying AI. Some of them are doing it well and building genuine operational advantages. Others are doing it the way Sandra did; spending money on tools their teams aren't using while assuming everything is fine. Knowing your own AI footprint is what gives you the ability to make an informed, strategic decision about where to invest next rather than chasing every new AI tool because you have no data to guide a better decision.
The Conversation That's Coming Whether You're Ready or Not
AI accountability is becoming a real expectation at every level of business.
Board members who have been patient about AI investment are starting to ask for evidence that it's working. Commercial clients are beginning to include AI disclosure requirements in vendor assessments. Regulators in financial services, healthcare adjacent industries, and professional services are beginning to develop frameworks for AI oversight that will eventually require organizations to document and demonstrate their AI usage practices.
The business owners who can walk into any of those conversations with clear, evidence-based answers about how their organization uses AI — which tools, how often, where the usage is concentrated, and what the organizational impact has been — are the ones who will navigate those conversations from a position of confidence.
The ones who can't are going to find themselves in the same position Sandra was in that client meeting. Saying nothing has changed. Hoping nobody notices. Going back to the office to start asking questions they should have been asking months ago.
Crow Is Where That Visibility Starts
Knowing how to answer the AI accountability question, for your board, your clients, your regulators, and your own leadership team, starts with knowing your company's AI footprint.
Crow maps that footprint automatically. It shows you how your team is actually using AI tools, how frequently, and where AI activity is concentrated across your organization. It identifies your tech champions, the employees whose AI usage patterns suggest they've figured out something worth scaling. And it gives you the ongoing monitoring capability to know whether your AI deployment is working, improving, or quietly failing the way Sandra's did.
Free during beta. Running in 60 seconds. No IT department required.
Rather have morriganAI handle everything? Our White Glove package installs Crow across every device, monitors your AI footprint for 90 days, and delivers a full expert readout of exactly what we found. Flat $500. You don't lift a finger.
The question isn't whether someone is eventually going to ask you how your company is using AI and whether it's working.
The question is whether you're going to have an answer when they do.
morriganAI is an AI Identity Insight Technology company serving small and mid-sized businesses across the United States. Headquartered in Des Moines, Iowa with offices in Chicago and San Francisco.
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