AI & Automation

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.

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.

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.

The largest US banks put AI agents in client vetting and transaction accounting, not the storefront. Three tests decide where a lender's first agent actually earns its keep.

Three-quarters of small professional services firms use AI. A third saw revenue move. The gap is not the tools, it is the unrebuilt operation the tools run inside.

Keeping a human in the loop by reviewing every file rebuilds the bottleneck agents remove. The 2026 operating question for lenders is where judgment should sit, not whether a person is involved.

Process automation runs at 79% of financial firms, but only 14% call AI transformational. For alternative lenders, the gap between adopting tools and rebuilding the operation is the next competitive edge.

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.