AI & Automation

Equipment finance volume is up 22.2% in early 2026, but the desks processing it did not grow with it. Why hiring through a surge fails, and how lenders scale volume without scaling headcount.

Most lenders blame the technology when their AI underdelivers. The real issue is a point tool bolted onto an unchanged process. See why end-to-end redesign drives 60 to 90 percent cycle-time reductions.

Services firms trust their AI outputs and re-check them by hand at the same time. The constraint is not the tool, it is fragmented data. Here is what actually moves the productivity gap.

How one specialty equipment lessor doubled monthly deal volume from 120 to 240 on the same six-analyst desk by orchestrating file prep, and the cost math that makes hiring the wrong growth lever.

AI is not killing the billable hour. It is exposing that firms were pricing the input, not the outcome. Why margin now moves to the firms that redesign delivery before they touch the rate sheet.

Agentic AI in lending is no longer a capability problem. Only 6% of finance leaders report broad-scale implementation, and governance is the barrier. Here is why accountability has to be designed in at build time.

78% of companies use AI. 80% report no earnings impact. The problem isn't the technology. It's the workflow structure AI is running inside

Nearly two-thirds of companies have tried AI agents. Fewer than 10% restructured their operations. Here's what the 10% actually did differently.