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Webinar
Your AI Spend Went Up. Nobody Can Prove the Return.
Trusted by Industry Leaders for Delivering Cutting-Edge, AI-Driven Solutions That Drive Success.
abstract
Ask your finance team what the company spends on AI tools and you will get an estimate. Ask what it has returned and the room goes quiet. This session is about closing that gap. We will cover where the spend hides, which tools are worth keeping, and how to build a return number your CFO will sign off on.
AI spend rarely shows up as one line item. It is a Copilot rollout here, a team subscription a director expensed there, a pilot nobody switched off, and an inference bill buried in the cloud invoice. None of it is anyone's fault. But with no shared view, two teams end up solving the same problem twice, adoption stays patchy, and when the board asks what the company got for the money, nobody can answer. Control does not mean buying less.
It means knowing which tools fit which work, and measuring the gains in a unit finance already trusts. Jordan Martz has watched this play out inside companies still running unconsolidated ERP and CRM systems. He will cover what the cleanup costs once it has been put off for a few years, and how to get ahead of the board's question rather than scramble after it.
webinar Details
Date
Tuesday,
September 22, 2026
Time
10:00 AM EST (New York)
5:00 PM KSA (Riyadh)
6:00 PM GST (Dubai)
duration
1 Hour
SPEAKER
Jordan Martz
Jordan Martz has spent twenty years on both sides of this problem, building enterprise data platforms and buying them. He was Solution Architect of the Year at Databricks, carried the number one quota at Fivetran in 2023 and 2024, and through DataMartz, the practice he founded, has delivered more than twenty engagements for companies including Apple, Coca-Cola, Chevron and Nationwide. He joins this session from the buyer's seat: what AI tool sprawl looks like when it lands on top of unconsolidated ERP and CRM operations, and what it costs to merge it all.
Key Takeaways
Five things you will be able to act on this quarter.
Kill the Overlap
How to map every AI tool against the work it actually supports, so you can see which three are doing the same job.
Measure It in a Unit Finance Accepts
Learn how to measure AI-driven productivity gains in terms thaHow to turn "it saves us time" into hours, headcount or cost that your CFO will not argue with.t finance leaders can validate and accept.
Find the Spend You Are Not Seeing
Identify where AI costs quietly accumulate across teams Where the money hides. Expensed seats, dormant licenses, pilots nobody switched off, inference buried in the cloud bill.and what it takes to bring fragmented spending under control.
Set Standards Without Becoming the Police
What a tooling standard has to look like if you want teams to follow it rather than route around it.
Have the Return Case Ready Before They Ask
Learn how to connect AI tooling decisions to business outcomes and build a creHow to tie tooling decisions to business outcomes so the number already exists when the board asks for it.dible return case that can withstand scrutiny from finance and the board.
Who Should Attend
Attend if any of this sounds familiar.
Technology and Digital Leadership
You own the AI tooling estate and you could not produce a complete list of what is in it by Friday.
Finance Leaders
You have approved AI spend across four departments and you have no way to tell whether any of it moved a number.
Operations and Functional Leaders
Your teams use AI every day and you are measured on productivity gains you cannot evidence.
Data, Analytics, and AI Leaders
You have been asked to set AI standards for the business and you are already a year behind what teams adopted on their own.
Sixty minutes on Tuesday, September 22. You will leave able to answer the question your board is going to ask.
What did we get for the AI spend?
