Proof of Value

How Do You Know If Your AI Investments Are Delivering Value

Most companies cannot answer a simple question: is this working? Here is the framework that changes that.

Everything starts with the business objective. Not the technology. Not the tool. The objective. Are you trying to grow revenue, expand margins, or move faster than your competition? That answer is the foundation everything else is built on.

From there, the framework is straightforward.

The measurement framework

Business objective — What you are trying to achieve Value driver — The mechanism connecting AI to the outcome
Operational metric — The number that moves when it is working AI indicator — Evidence that AI is contributing

What it looks like in practice

A mid-market company wants to grow revenue. Their GTM team is capable but fragmented. Product knowledge, competitive intel, customer context, and past proposals all live in different places. New reps take months to get up to speed. Senior reps cannot access everything available to them fast enough to use it.

They build an internal AI tool that synthesizes that institutional knowledge and puts it in front of the right person at the right moment. Before a call. Before a proposal. During a competitive situation.

Business objective: Revenue growth

Value driver: Higher-quality customer interactions leading to better conversion and larger deals

Operational metrics: Win rate / average contract value / sales cycle length

AI indicator: Correlation between tool usage and deal outcomes by rep cohort

Those are the numbers that tell you whether it is working.


Why this investment compounds

Everyone on the team gets an initial lift. Faster preparation, better messaging, and ultimately, the best proposal for the client. But the best salespeople will do something different with it. They will use the tool to debrief, to pattern match across deals, to understand why they won and why they lost. Every conversation sharpens the next one.

The tool becomes a mirror as much as a resource.

That is a self-improvement loop. The return on this investment does not flatten. It scales with the quality and curiosity of the people using it.

The metric is not hours saved. The metric is what your best people became capable of that they were not before.


Before your next AI investment, ask one question: what business objective does this serve, and how will we know in 90 days whether it is working?

If you can answer that clearly, you are set up to succeed. If you cannot, that is the place to start.

Part of the Proof of Value series from Busted Eye. Let us know if you'd like to talk through your first 90 days.

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