AI & Automation

By 2026, 40% of enterprise apps ship with AI agents built in. For alternative lenders, presence is not production: embedded agents optimize one system while the cross-system process stays manual.

Most lenders have automated tasks, not functions. The 2026 data shows why that gap keeps the cost in place, and what automating a full function actually requires.

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.

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.