Benchmark Brings AI Contract Intelligence to College Athletics
Benchmark helps college athletics leaders compare contracts and financial data as rising costs put more pressure on business-office decisions.
With roughly 30 Power Four programs and a Big 12-wide agreement, Benchmark is bringing source-backed AI search to college athletics’ contracts and budgets.
AI in college sports is moving beyond recruiting and player performance into the athletic department’s business office. Benchmark, a platform for comparing contracts and financial information across schools, has signed roughly 30 Power Four programs and a conference-wide agreement with the Big 12, according to USA TODAY Sports.
Founded by Michael Anthony, Benchmark is designed to help administrators find and compare coaching and staff contracts, vendor agreements, game guarantees and other business deals. Its website describes contract summaries, peer-group comparisons, financial reports and AI-assisted research that links answers to underlying documents.
That last step matters. An athletic director asking how a buyout or apparel term compares with peers needs more than a plausible summary. The original agreement, the clause in question and the comparison group must be easy to inspect before anyone uses the answer in a negotiation.
USA TODAY reported that USC deputy athletic director Jason Cappadoro uses the platform to examine coaching contracts and vendor agreements. His department has recently changed multimedia-rights partners and extended its relationship with Nike; he described peer-deal information as useful in evaluating terms. Former North Carolina athletic director Bubba Cunningham described the research as a time-saver.
“It’s a huge value-add to our department.” — Jason Cappadoro, Deputy Athletic Director, USC
The larger context is a tightening financial environment. Athletic departments are managing new athlete-related spending alongside familiar costs for coaches, facilities and vendors. More money moving through the system makes the terms of existing commitments more consequential. Better access to comparable deals could improve preparation and reveal questions a department might otherwise miss.
There are two distinct possible gains: speed and judgment. Benchmark’s AI could reduce the time needed to locate and summarize documents. Decision quality depends on whether the underlying data are current, comparable and complete, and whether experienced staff understand the exceptions that a summary can obscure.
For example, two coaching agreements may list similar headline pay while differing materially in incentives, buyouts, staffing support or performance obligations. Vendor agreements can vary in scope, inventory, exclusivity and guaranteed payments. A comparison is useful only when those differences are visible, rather than flattened into a single benchmark figure.
Athletic departments considering a tool like this should test it against decisions they already know well. Can staff recover the exact source for a reported term? Does the platform flag missing or outdated documents? Can a user construct a meaningful peer group? How does it handle private-school information that may not be publicly available in the same form as a public institution’s records?
Security and access deserve attention as well. Contracts and financial plans can contain sensitive commercial terms. Leaders should understand what information a vendor ingests, who can query it, and whether one institution’s confidential material can appear in another’s comparison. Those are evaluation questions, not claims about Benchmark’s current practices.
The reported customer count and Big 12 agreement indicate meaningful interest in the category. They do not establish documented savings or better negotiation outcomes. Measuring those outcomes would require schools to compare research time, deal terms and decision quality before and after adoption.
For sports executives outside college athletics, the pattern is familiar: AI becomes valuable when it makes fragmented institutional knowledge usable at the moment a decision is made. Benchmark’s traction suggests that contracts and budgets may be one of the next consequential arenas for sports AI—not because software replaces financial judgment, but because it can make the evidence behind that judgment easier to find.
John Brice, USA TODAY
