Prioritize, Pilot, Prove: How Launch Banked 7,600 Hours With Copilot

Need to build a business case for AI? Start with the data.

Liz Thomas, VP of Enterprise Technology at Launch Consulting, explains how her team works with clients to identify high-impact AI opportunities—then prove ROI fast.

In this example:

• Launch created a prioritized AI use case backlog

• One pilot deployed Microsoft Copilot to automate email routing

• Result: 7,600 hours saved for sellers—more time to focus on clients

When you start with the right priorities, AI results & ROI follow quickly.

Connect with a Navigator to identify your own high-impact opportunities with AI.

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Transcript:

So if you're needing to build that business case or ask for that investment, or leverage your data to help tell your story, we'll often put together a backlog of priorities of where we could deploy AI, right? And what the use case is around it and the business impact.

So we'll go through and partner with them and say, okay, prioritize these top three. So we'll have this return on it.

And quickly within weeks we can start to see that. So for our program we ran, we deployed automatic email routing with Copilot, and it ended up saving 7,600 hours of seller time in the market.

So what that means is at the end of the day, the sellers have that much more time to talk to clients.