Underwriting
AI agents are changing how underwriting work gets done.
Not by making individual steps faster — by taking on the workflow that surrounds judgment. The question is no longer where AI can assist underwriting. The question is how underwriting should work when AI agents become part of the operating model.
The Problem
Highly trained underwriters spend their time orchestrating workflows.
Underwriting is full of workflows that require assembling fragmented information, interpreting documents, checking guidelines, identifying missing evidence, performing research, evaluating risk factors, documenting reasoning, and coordinating across multiple systems and stakeholders. Historically, most of an underwriter's day went to collecting and organizing — before judgment could even begin.
01
Assembling fragmented information
Applications, attachments, prior policies, and third-party data arrive scattered across inboxes, portals, and core systems. Agents collect and normalize it into a single case record.
02
Interpreting documents
Long-form records — medical files, financial statements, loss runs, supplemental applications — are read, structured, and cross-referenced by agents rather than paged through by hand.
03
Checking guidelines
Agents retrieve the applicable sections of underwriting manuals and carrier guidelines for the case at hand, with citations back to the source.
04
Identifying missing evidence
Requirements gaps are surfaced at intake, not discovered mid-review — and permitted follow-up workflows can begin immediately.
05
Performing research
Permitted external sources and enterprise knowledge are queried by agents, with results attached to the case with provenance.
06
Documenting reasoning
Every synthesis, risk factor, and workflow step is recorded — leaving the underwriter a traceable file rather than a documentation backlog.
The Transformation
The underwriter becomes less of a workflow orchestrator and more of a decision-maker.
Agents can increasingly handle the work around the judgment: gathering evidence, retrieving guidelines, coordinating requirements, synthesizing the case. Authority over risk stays exactly where it belongs.
Traditional Underwriting
Every step runs through the underwriter's queue.
Six sequential steps before judgment
Agentic Underwriting
Agents handle the workflow surrounding judgment.
AI Agent Layer
Parallel agent work, human authority
Why Agents
This is a different unit of automation.
Rules automated steps. Copilots assisted tasks. Agents pursue objectives across entire workflows — which is why they change the operating model rather than the tooling.
“Pursue an objective across a multi-step workflow, use tools and systems, gather context, take permitted actions, and escalate when human judgment is required.”
Agents work across systems and documents toward a defined outcome — gathering evidence, executing permitted steps, and routing exceptions to people.
Unit of work: a workflow
Lines of Business
One model, applied where the evidence burden is heaviest.
Primary focus
Life
The deepest evidence burden in insurance — and the strongest early environment for agents. Life receives our fullest focus.
Learn moreProperty & Casualty
Commercial submissions, broker emails, exposure schedules, and appetite checks turned into structured, decision-ready risk context.
Learn moreHealth
Intake, document synthesis, and case-review preparation with the oversight and controls health information demands.
Learn moreThe future of underwriting is Agentic.