Category

Alternative Lending

28 insights · page 1 of 4

A labelled diagram of a small ticket equipment finance file moving through application, credit decision, documentation and servicing, with 80.7 percent of small ticket applications approved at the decision stage.

Small Ticket Volume Is Up 25.8 Percent. Your Back Office Counts Files, Not Dollars.

Equipment finance small ticket volume is up 25.8 percent year to date against 11.3 percent for the industry. That growth arrives as file count, and a back office charges by the file.
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A grid of 100 squares with 20 filled in blue, showing that commercial debt collectors recover about twenty cents on the dollar owed.

Every MCA Collections Contact Is Now a Compliance Record

Federal small-business lending data rules and roughly ten state disclosure laws have turned documented, consistent MCA collections into a compliance requirement, not just a recovery tactic.
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Bullet-chart cover comparing operated collection to a traditional desk: operated recovers about 50% against a 20 to 30% traditional benchmark, at 60 to 80% lower cost per dollar recovered, roughly 2 to 4 times the recovery.

The Collections Desk That Scaled With the Book Was the Wrong One

Two lenders, one book size, two collections cost structures. Why a manual desk scales with headcount while an operated cadence holds cost flat as the book grows.
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Anatomy of a commercial credit file comparing a manual file, which spends 40 to 60 percent of analyst time on document prep, with an operated file where agents handle extraction, spreading, and reconciliation before underwriting.

Your Best Underwriters Spend Half Their Day Not Underwriting

Automating financial spreading and reconciliation cuts analyst time per commercial loan by 40 to 60%. Why hiring another underwriter is the wrong fix for a backed-up pipeline, and what an operated credit file changes.
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Dot grid chart comparing 17 percent of organizations with AI agents deployed today against 64 percent expecting to deploy within two years, from the 2026 Gartner CIO and Technology Executive Survey.

Agentic Projects Do Not Fail on Capability. They Fail on Scope.

More than 40% of agentic AI projects are forecast to be canceled by 2027, and escalating cost leads the causes. Why open scope, not capability, is what ends most agentic builds.
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Bullet bar chart showing that 56 percent of leaders want greater visibility into AI agent behavior, 44 percent want proven risk frameworks and 42 percent want proof in their own environment, against only 28 percent who are highly confident deploying AI agents securely.

You Cannot Scale an Agent You Cannot Watch

Agentic AI pilots in lending stall at one workflow because no one can produce a record of what the agent did. Why observability, not model quality, is the constraint on scaling.
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Two-track workflow diagram contrasting a four-hour advertised approval with a multi-day manual MCA funding cycle, marking the document, verification, and stipulation handoffs where days accumulate before funding.

The Funder Who Advertises Four-Hour Approvals Takes Nine Days to Actually Fund

Alternative lenders advertise four-hour funding but operate multi-day cycles. See where the days hide between signed application and wire, and how agentic onboarding closes the gap.
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Two dot grids comparing operations leaders in 2026: 83 of 100 expect AI agents to break down functional silos, while 27 of 100 have fully embedded an AI strategy.

No Department Owns Your Biggest Cost Leak

83% of operations leaders say AI agents will break functional silos. Only 27% have embedded a strategy. In lending, the cost leak lives in the handoffs no department owns, and no cost review will find it.
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