AI commercial underwriting for CUSOs and credit union service organizations

A Credit Union Service Organization (CUSO) is an entity owned by one or more credit unions that provides operational services — including commercial loan underwriting and origination — to participating credit union members. Many CUSOs run member business lending on behalf of credit unions that don't have the in-house team to support commercial. Aloan plugs into the CUSO's underwriting workflow as the AI analysis layer: the CUSO uses Aloan to spread financials, generate global cash flow, and draft credit memos for each member credit union's deals — at the per-deal economics that make CUSO commercial lending sustainable.

Aloan output is configurable per member credit union. The CUSO can apply each credit union's standardized memo format, credit policy, lending limits, and document branding so the output looks native to the member credit union when it lands in their LOS or board credit committee packet. Multi-tenancy and per-member configuration are core platform capabilities — not a custom engagement.

Pricing is volume-based across the CUSO's aggregate deal flow rather than seat-based per credit union member. A CUSO running 500 commercial credits per year across 30 member credit unions pays based on the 500 credits, not on whether they sit across 30 separate institutions. The economics work for both small CUSOs running niche programs and larger CUSOs running broad commercial-as-a-service.

Yes. Each member credit union's credit policy, MBL appetite, lending limits, spread template, and credit memo format can be configured independently inside Aloan. When the CUSO underwriter pulls a deal for Credit Union A, the platform applies Credit Union A's defaults; when they pull a deal for Credit Union B, it applies Credit Union B's defaults. This eliminates the manual re-templating that typically slows CUSO commercial workflow.

Many CUSO commercial deals are participations — the lead credit union originates and the CUSO syndicates participation interests across member credit unions to spread MBL exposure. Aloan generates one analysis and credit memo per deal that's shareable across all participating credit unions and their respective credit committees. Each participating CU gets the documentation it needs for its own NCUA exam file without re-underwriting.

The audit trail is tied to the source documents and the CUSO's underwriting actions, not to a specific credit union. When Credit Union A pulls the file for its NCUA exam, the source citations, the analyst review record, and the credit memo are all available — the same is true when Credit Union B does the same. The CUSO maintains a single defensible record per deal that serves all participating credit unions and their respective regulators.

CUSOs that have explored building in-house AI for spreading and credit memo generation typically run into the same set of problems: handling tiered K-1s reliably, producing examiner-defensible source citations, supporting multi-bank standardized formats, maintaining the model documentation NCUA expects, and keeping per-document costs sustainable as deal volume scales. Aloan solves all of these as a turnkey platform. CUSOs adopt it instead of building because the AI underwriting problem is genuinely hard and the build path is rarely worth the engineering investment.

Yes. Some CUSOs operate hybrid models that serve both member credit unions and partner community banks under separate agreements. Aloan handles both regulatory contexts (NCUA for credit union members, OCC/FDIC/state for community bank partners) and per-institution policy configuration. The same CUSO underwriter can move between credit union and community bank files inside the same platform without context-switching cost.