Saris, the San Francisco agentic workflow platform for banks and credit unions, said on 10 November 2026 that AmFirst Federal Credit Union, a $2.7 billion-asset Alabama lender, is using its AI agents to check indirect auto loan documents, and that AmFirst’s fastest funder cut per-deal processing to about four minutes and funded 50 loans in four hours, against a previous best of 45 in a full day. The Saris AmFirst figures come from the vendor’s announcement. Fintechbits found no earlier coverage of Saris in its archive. AmFirst’s own 2022 annual report put the credit union at $2.349 billion in assets and 198,000 members.

What the Saris AmFirst deployment does

According to the Saris release, AmFirst adopted Saris after record indirect lending volumes put pressure on its funding team. Staff had spent much of each day comparing vehicle identification numbers, borrower details and other fields across loan documents before releasing funds to dealers.

Saris agents now cross-check required fields across documents and system records against AmFirst’s policies, flag exceptions and cite the source of each problem so employees can investigate before errors cause rework or title problems. The agents work inside the credit union’s existing lending workflow, and AmFirst staff keep authority over every funding decision.

AmFirst is targeting funding turnaround of 60 to 90 minutes from receiving a deal, to compete for new dealer business. Leadership wanted to handle rising demand without adding staff it would not need when auto lending slowed.

Patrick Wiginton, AmFirst’s director of lending services, said: “Growing our indirect lending business cannot mean adding another funder every time volume spikes.”

Indirect lending, where the dealer arranges the loan and the lender funds it, is a speed contest. Dealers send deals to lenders that approve and fund quickly, because they are paid when the loan funds.

Reading the productivity numbers

The headline figures are striking: about four minutes per deal and 50 loans in four hours, compared with a previous best of 45 in a day. They describe the credit union’s fastest funder, not its average, and the release does not say how many exceptions the agents raised or how often staff overrode them.

Even so, document validation is a strong fit for AI agents. The task is rules-based, repetitive and well defined, with a human making the final call. That is the profile where automation tends to deliver real time savings without taking on credit decisions.

Why the Saris AmFirst Case Matters for Credit Union Lending

The Saris AmFirst case is a useful example of AI in a credit union doing something narrow and measurable. Funding delays cost dealer relationships, and dealer relationships drive volume in indirect auto. A credit union that funds in an hour rather than a day can win business from larger banks without matching their rates.

The bigger point is about staffing through the cycle. Auto lending volumes rise and fall, and hiring for the peak leaves lenders overstaffed in the trough. Tools that let a fixed team handle higher volume protect margins when demand drops, which is the logic AmFirst’s leadership described.

The caveat is evidence. The figures come from the vendor, describe one employee and cover a short period. Credit unions considering similar tools should ask for error rates, exception volumes and results across the whole team. Fintechbits has covered other automation in bank back offices, including Abrigo’s CECL tools and AI in AML compliance.

Frequently asked questions

What did Saris do for AmFirst?

Saris AI agents check indirect auto loan documents against AmFirst Federal Credit Union’s policies and flag exceptions with source citations, while staff keep authority over funding decisions.

How fast is AmFirst funding auto loans?

AmFirst’s fastest funder cut processing to about four minutes per deal and funded 50 loans in four hours, against a previous best of 45 in a full day. AmFirst is targeting 60 to 90 minute turnaround.

How big is AmFirst Federal Credit Union?

AmFirst is a $2.7 billion-asset, member-owned credit union serving individuals and businesses in Alabama, according to the release.

What to Watch Next

The figure to watch is whether AmFirst reaches its 60 to 90 minute funding target across its whole team and grows its dealer network as planned. If it does, the Saris AmFirst model is likely to spread to other credit unions with large indirect auto books.