Vertical AI agents are not arriving everywhere at once. In some industries, agents already handle large volumes of production work. In others, regulation, messy data or fragmented buyers are slowing adoption. This map is how we think about where the work is moving first.
We scored each industry on three factors: how much of the work is high-volume and rule-bound, how accessible the systems of record are, and how clearly buyers can measure the result. Readiness reflects where we see real Series A and B companies today.
| Industry | Workflow being replaced | Readiness |
|---|---|---|
| Insurance | Claims intake, adjudication, underwriting submissions | High |
| Healthcare administration | Prior authorization, coding, denials and appeals | High |
| Finance & accounting | Close, reconciliation, accounts payable | High |
| Legal | Discovery review, contract review, litigation operations | High |
| Logistics | Freight quoting, exception handling, carrier operations | Medium |
| Financial services | KYC, compliance review, loan operations | Medium |
| Real estate | Lease abstraction, property management, title | Medium |
| Manufacturing | Quality inspection, production planning, procurement | Medium |
| Home & field services | Dispatch, quoting, scheduling, customer intake | Medium |
| Energy & utilities | Interconnection studies, asset inspection, permitting | Emerging |
| Public sector | Benefits processing, permitting, records requests | Emerging |
| Construction | Estimating, submittals, change orders | Emerging |
Patterns across the map
The industries furthest along share a profile. The work arrives in large volumes, follows written rules with known exceptions, and is already measured closely, often because it was outsourced. Buyers know exactly what a claim or a prior authorization costs them today, which makes outcome-based pricing easy to understand.
Agents arrive first where the work is already counted.
The emerging industries are not less attractive. They are earlier. Energy interconnection, permitting and construction estimating are slow, expensive and badly backlogged. The barriers are mostly data access and buyer fragmentation, and those are exactly the problems a strong team can solve with a sharp wedge.
Where we’re spending time
Over the next year we expect to invest most actively in healthcare administration, insurance and finance, where the market is proven and the race is now about depth and distribution. We are also meeting early teams in energy and public-sector workflows, where we think the next wave of category leaders will come from.
If you’re building in any of these industries, we’d like to compare notes.