What We Learn About Your Business in 72 Hours

A common misconception is that enterprises need months of discovery before building AI systems. In our experience that is rarely true.

Most organizations already hold the information needed to spot high-value opportunities. It is just scattered across teams, systems, and workflows.

Within the first 72 hours of an engagement we can usually form a clear picture of where AI creates value. Not because we know your business better than you do, but because we know what to look for.

The goal is not to understand everything

When people hear “AI audit,” they often picture a long consulting exercise. That is not what this is. We are not mapping every workflow. We are answering one question: where can AI create measurable impact?

To get there, we look at four things.

1 · Where work slows down

Every organization has bottlenecks. Information trapped in inboxes, hours lost searching for documents, approvals waiting on review, decisions that need data from several systems. These are often where the biggest opportunities sit.

The question is not whether AI can automate something. It is whether it can remove friction from a process that matters to the business.

2 · Where knowledge lives

Most organizations have more data than they realize, and it lives everywhere: CRMs, ERPs, databases, SharePoint, Google Drive, Slack, email, internal tools. Valuable knowledge is usually not missing. It is just hard to reach.

One of the first things we learn is where information lives and how hard it is for employees to find and use.

3 · How decisions get made

Businesses run on decisions, not documents. Who approves purchases? How are customers prioritized? What drives operational planning and resource allocation?

Understanding how decisions are made usually reveals where AI can accelerate workflows, surface insight faster, and cut manual effort.

4 · What success actually looks like

This is where many projects fail. Teams pick technology before defining outcomes. We start with the outcome. Are you trying to improve revenue, productivity, customer experience, efficiency, or risk?

Without a clear definition of success, there is no way to know whether an initiative is working.

What happens next

By the end of 72 hours we typically understand the highest-value opportunity, the systems involved, the data required, the implementation challenges, and the metrics that matter.

Most importantly, we know whether the opportunity is worth pursuing. Sometimes the answer is yes and sometimes it is no. Both are useful, because the point is not to deploy AI. It is to solve a business problem.