A Treasury Tech Leader on Where AI Can Add Value Today

# AI

# Treasury Management System (TMS)

# People and Talent

SLB’s digital treasury lead Dan Morrison on automation, data and AI are reshaping the function’s role.

SLB’s digital treasury lead Dan Morrison on automation, data and AI are reshaping the function’s role. Treasury teams are being asked to move quickly to digitalize, with AI only adding to the pace as the number of tools, use cases and ideas keeps expanding. The challenge for many NeuGroup members is figuring out where to start and what will actually make a difference.

“It’s a bit like going to a restaurant and you’ve got a full menu of multiple things. Where do you start?” says Dan Morrison, Global Treasury Digital and Performance Manager at SLB, formerly Schlumberger.

In the latest episode of NeuGroup’s Strategic Finance Lab podcast available now on Apple and Spotify, Mr. Morrison joins NeuGroup’s Justin Jones to discuss how treasury teams can make AI useful without getting overwhelmed.

“We’re spoiled for information,” he says. “But the most important thing is to keep things simple and focus on where you can add value.”

Dan Morrison, SLB

Data, dashboards and discipline. For Mr. Morrison, the future of treasury starts with consolidating information in tools like SAP Central Finance, a system that consolidates financial data from multiple enterprise resource planning (ERP) systems into a single platform.

From there, the focus shifts to how the data is used. Across SLB, teams have built dashboards in Microsoft’s Power BI, often referred to internally as PBIs, to visualize cash positions, exposures and other key metrics. Some are highly effective, but they are not always consistent across regions.

“One region may have something very good for their area,” Mr. Morrison says. “But it’s not necessarily the same for everyone else.”

Part of his role is identifying what works, standardizing it and scaling it, so treasury teams are working from the same data and definitions.

Ducks in a row. As more processes become automated, Mr. Morrison emphasizes the need for clear ownership. That includes using frameworks like RACI (responsible, accountable, consulted and informed) to define who owns data, who validates it and how issues are escalated.

“You don’t want to restrict people from being innovative,” he says. “But you do want to make sure things are done in a structured way.”

That structure becomes more important as AI is layered in. If the data is inconsistent or ownership is unclear, the tools will only amplify the problem.

Listen to the full episode now on Apple and Spotify for Mr. Morrison’s insights on how AI is reshaping treasury, where to focus now and how teams can keep pace.

A Treasury Tech Leader on Where AI Can Add Value Today

SLB’s digital treasury lead Dan Morrison on automation, data and AI are reshaping the function’s role.

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