If your business has been using AI tools for more than a few months, there’s a good chance things have gotten a little messy. Not because anyone did anything wrong—it just happens naturally. One person signs up for ChatGPT, another starts using a different writing tool, someone in accounting finds an AI that helps with invoices, and before you know it, you have five or six AI subscriptions, no clear picture of what data is going where, and no one keeping track of the whole picture.
That’s where an AI checkup comes in. Think of it like a financial audit, but for your AI tools and practices.
Why Businesses Need One
There are four problems we see repeatedly when businesses adopt AI organically:
Shadow AI. Employees using AI tools that management doesn’t know about. This isn’t malicious—it’s people trying to be more productive. But when you don’t know what tools are in use, you can’t manage the risks.
Data leakage. Some AI tools use the data you input to train their models. If an employee pastes sensitive client information into a free AI tool, that data might not stay private. Most people don’t read the terms of service, and most AI tools don’t make their data practices obvious.
Tool sprawl. Different team members sign up for different tools that do essentially the same thing. You end up paying for overlapping subscriptions and nobody is getting the full value from any single tool.
Duplicate spending. Related to sprawl, but specifically about money. We regularly find businesses paying for three or four AI subscriptions when one or two would cover everything they need.
What the Process Looks Like
An AI checkup isn’t complicated, but it is thorough. Here’s what we typically do:
Tool inventory. We catalog every AI tool your organization is using—the ones you know about and the ones you don’t. This includes paid subscriptions, free tools, browser extensions, and AI features embedded in software you’re already using (like AI in your email client or CRM).
Security review. For each tool, we look at what data it has access to, how that data is handled, whether it’s used for model training, and what the privacy terms actually say. We flag anything that could be a compliance risk, especially for businesses handling client financial data, health information, or other regulated information.
Cost audit. We map out what you’re spending across all AI tools, identify overlaps, and find places where you could consolidate without losing functionality. This often pays for the checkup itself.
Recommendations. Based on what we find, we put together a clear report: what to keep, what to consolidate, what to stop using, and what policies you should have in place. No jargon, no fifty-page document—just practical next steps.
A Real Example
We found a 15-person accounting firm paying for six different AI subscriptions across their team. Two of the tools did essentially the same thing—one person had signed up for Tool A and another for Tool B, neither knowing the other existed. More concerning, one of the tools was feeding client financial data to a model that used inputs for training. Nobody had checked.
We consolidated them down to two tools that covered all their needs, set up proper data handling policies, and saved them about $400 a month in the process. The whole engagement took less than a week.
When to Get One
An AI checkup makes sense in a few specific situations:
After 3+ months of using AI tools. That’s typically enough time for organic adoption to create blind spots. Tools get adopted, forgotten about, or used in ways that weren’t originally intended.
Before a compliance audit. If you’re in a regulated industry—financial services, healthcare, legal—knowing exactly what AI tools touch your client data is something your auditors will want to know. Better to find out on your terms than during an audit.
When you’re not sure what your team is using. If you can’t confidently list every AI tool in use across your organization, that’s a sign. You don’t have to know the answer—that’s what the checkup is for.
When you suspect you’re overspending. If multiple people have signed up for AI tools independently, there’s almost certainly overlap. A quick audit usually reveals savings that more than cover the cost.
What It’s Not
An AI checkup isn’t about shutting down AI use or creating bureaucratic barriers. The goal is to make sure your team can use AI effectively and safely. Most of the time, the result is that people keep using AI—just with better tools, clearer guidelines, and lower costs.
If any of this sounds familiar, our AI Readiness Audit is a good place to start. We’ll give you a clear picture of where you stand and what to do next.