AI & Automation

Thirty percent of accounting professionals name manual data cleanup as the top barrier to advisory work, ahead of staffing. The average firm runs ten applications and loses five hours a week to re-entry.

Professional services leads on AI adoption, but only about a quarter deploy firm-wide. The difference is workflow redesign, not tools. What the leading quartile did differently.

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.

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.

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.

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.

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.

Firms protect client data with sophisticated rigor and classify their own process knowledge not at all. Adoption is compounding at 20.2% of firms, 36.8% in professional services. The method gets encoded either way.