When Craig Foster talks about artificial intelligence, he begins with scale. Pax8, the enterprise marketplace where he serves as CFO, connects vendors like Microsoft and CrowdStrike with 43,000 managed service providers. Those MSPs, he tells us, serve between 700,000 and 800,000 small and midsize businesses worldwide.

Against that backdrop, Foster describes how AI is reshaping both internal operations and external opportunities. Inside Pax8, teams are experimenting across functions—from customer support to accounting—to automate what was once manual. The company, he tells us, has set a target “to do 20% more with 20% less,” relying on AI tools that are already available. Efficiency gains are not hypothetical; they are part of the current planning cycle.

Externally, Foster sees what he calls “agentic marketplaces” emerging—ecosystems where AI modules act as labor components. Vendors are already building such agents, and Pax8 is designing its own. “We’re a marketplace,” he tells us, “so we need to incorporate those different… AI components and enable our downstream clients for efficiency.” He believes this wave, unlike earlier technology cycles, is reaching SMBs with unusual speed.

The finance leader is also watching economics evolve in real time. Data aggregated across Pax8’s network shows strong interest, but pricing remains unsettled. Foster compares today’s uncertainty to the early days of API marketplaces, when usage-based models became standard. The question now, he tells us, is how to split value between provider and customer—whether by consumption, per interaction, or shared outcomes. “That’s probably the biggest challenge in industry right now,” Foster says.

The pivot began when Jim Rogers raised his hand. Groupon was shifting from mobile daily deals to a goods business in Europe, and—still early in his career—he volunteered to help lead the finance work. That step, he tells us, bridged his path from technical accounting into FP&A and set a pattern: seek out the build stage, then make finance a partner to the business.

Rogers started in audit at Ernst & Young before moving through technical accounting and controllership into planning. He earned a master’s in accounting at Northern Illinois University to qualify for the CPA, he tells us. At Groupon, he advanced to head of FP&A for North America, experience that informed his philosophy at Tempus AI: “we’re not here to report the news,” he says—finance should enable decisions.

Joining Tempus in 2017 as the first finance hire—when the company was pre-revenue, he tells us—Rogers built the function, became CFO in 2021, and helped steer the company public. He also stood up investor relations, initially outsourcing the function before bringing it in-house by the end of 2021, he tells us, investing time to educate analysts on a business that spans multiple categories.

AI runs through Tempus’s work. Externally, a physician portal (“positive”) and the researcher tool “Lens” aim to make diagnostics and data more useful. Internally, large language models sift “hundreds of petabytes of data,” Rogers tells us, and surface real-time finance insights. The strategic throughline is discipline: double down on oncology, keep pilots siloed, and expand only when the core is ready—because, as he notes, “no two days are alike.”

In this Planning Aces special, three finance leaders map how AI is moving FP&A from dashboards to decisions. Andrew Casey (Amplitude) shows agents automating analytics, experiments, and order-to-cash checks to democratize insight and speed action. Eric Brown (Cohesity) contrasts AI’s capital intensity with the cloud era and spotlights an “epic data battle” where privileged datasets drive advantage. Chris Miorin (APEX Analytix) links on-prem investment and clean data to faster product velocity. Co-host Brett Knowles ties it together: avoid AI-washing; structure data; target reconciliations and cycle-time compression; and lead with outcomes. Viewpoints, AI’s value depends on governance, access, and execution discipline.