AI Agents & Automation for Insurance
Insurance is the natural home for agentic automation because so much of the work is structured, repetitive, and buried in volume: FNOL intake, claims status inquiries, policy endorsements, renewal processing, and subrogation follow-ups. AI agents for insurance execute those workflows across your core systems while respecting the line regulators draw: the NAIC model bulletin expects governance over automated decisions, and state DOIs expect a human to be accountable for adverse outcomes. We build agents that clear the routine work at machine speed, escalate anything consequential with context attached, and log every step for the market conduct exam you will eventually face.
AI Agents & Automation, built for insurance
We identify the workflows where agents pay fastest, typically FNOL, servicing, and status handling, then design automation with your claims and policy teams.
Agents integrate with claims, policy admin, and document systems, completing multi-step processes rather than just drafting responses.
Decision boundaries are explicit: agents process within authority limits, and anything affecting coverage, payment, or denial routes to a licensed human.
Every action carries a full audit log, so market conduct and internal audit can reconstruct any file an agent touched.
Where it pays off in insurance
FNOL intake automation
Agents that capture loss details across channels, validate coverage, open the claim, and route it correctly the first time.
Policy servicing agents
Endorsements, certificates, billing questions, and renewals handled end to end, with clean handoffs when judgment is needed.
Claims status and correspondence
Agents answering status inquiries and generating compliant correspondence, cutting call volume without scripting frustration.
Subrogation and recovery
Agents that identify recovery opportunities, assemble demand packages, and chase responses on schedule.
Carriers typically remove 40 to 60% of routine servicing and intake volume from human queues within a quarter, cutting FNOL-to-assignment from days to minutes while adjusters keep every consequential decision.
Insurance AI, answered
No, and we architect it so they cannot. Agents process, validate, and assemble, but any adverse action routes to a licensed human with the file organized and reasons documented. That boundary is what state DOIs and the NAIC bulletin effectively require.
Every agent operates within documented authority limits, logs every action, and produces correspondence from approved templates. That gives your compliance team a governed, examinable system rather than a black box, which is the standard the NAIC bulletin sets.
Rarely. We integrate with modern APIs where they exist and work through structured files or supervised UI automation where they do not. Most carriers run a mix, and the agent layer is built to absorb that.
More Insurance AI
AI Agents & Automation for other industries
Bring AI Agents & Automation to your insurance team
Book a free consultation. We'll show you the highest-leverage place to start and exactly how we'd ship it.