Autonomous AI

Autonomous AI Agents that quote, log in, and document — for you

When a carrier has no API, Aron's AI agents log into the portal, fill the form and bring back the premium. When a claim arrives, an AI agent reads the documents and triages it. The best AI agents for automated insurance quotes — built on Claude + browser-use, in production today.

How an Aron AI agent actually works

Real autonomy, not workflow automation with an AI label on top.

01

Receive an instruction

The agent receives a structured task — 'quote this risk on carrier X' — from the producer UI, an API call, or an upstream AI assistant via MCP.

02

Act in the world

The agent opens a headless browser, logs in with the producer's credentials, navigates the carrier portal, fills the quote form, downloads the schedule. Vision-augmented — it adapts to portal redesigns without breaking.

03

Return verified results

The agent normalises the carrier response, returns the bindable quote to Aron, attaches the PDF, logs the session video and decisions for audit.

What the agent layer can do

Concrete jobs that used to need a human producer — now optional.

Automated quoting on legacy portals

Carriers without APIs are no longer second-class. The agent logs in like a producer and brings back a real bindable quote.

Browser-use + vision

When the DOM changes or a CAPTCHA appears, the agent adapts. Built on browser-use with Claude's vision capabilities — it sees the page like a human.

End-to-end policy lifecycle

Not just quoting. Endorsements, MTAs, claim notifications, document downloads — anything a producer could click, an agent can do.

MCP-exposed

Each agent is callable via Model Context Protocol — your in-house AI assistant or any Claude/OpenAI agent can invoke them with the right permissions.

Human-in-the-loop guardrails

Configurable approval gates on bind, on out-of-appetite risks, on amount thresholds. The agent never acts past the boundary you set.

Session replay and audit

Every agent run is recorded — full browser session, DOM trace, decisions taken. Audit-grade evidence for regulators and internal review.

Why this is the best AI agent stack for insurance quotes

Browser-use
+ Claude vision
Live
In production today
Per-run
Audit recording
MCP
Standard interface

What this unlocks

Every carrier is now an API

You don't need to wait for the carrier IT roadmap. The agent layer treats human portals as a programmatic surface, today.

Quote-to-bind times collapse

Multi-carrier quoting that took 30+ minutes of tab-hopping now runs in parallel, autonomously, in under five minutes.

Your producers stop doing data entry

Humans do judgement. Agents do clicks. The job description for an insurance agent quietly evolves.

Regulator-friendly autonomy

Every agent action is logged with full provenance. You can show exactly why and how each policy was placed.

Frequently asked questions

Are these the best AI agents for automated insurance quotes?

We make a strong case. They're built on Claude with browser-use, run in production today, support every carrier portal we've encountered, and are audited per-run. We'll show you yours, live, on a demo.

Doesn't carrier T&C forbid bots?

These agents use the producer's own credentials and act as the producer would — not as a scraping bot. They identify themselves to carriers where required, and we work with carriers proactively to disclose how the integration works.

What happens when a portal changes?

Vision-augmented agents adapt to DOM changes automatically — they 'see' the form fields rather than depending on selectors. When a carrier launches a full UI redesign, we typically have updated coverage within hours.

Can the agent bind autonomously?

By default, no — humans review and approve before bind. You can configure higher autonomy on low-risk, low-amount lines if your operating model allows it.

Can I call these agents from my own AI assistant?

Yes. Each agent is exposed via MCP. Your in-house Claude, OpenAI or custom agent can invoke them with scoped credentials.

Is this generative AI or rule-based RPA?

Generative — Claude reasons over the page contents at each step. It's significantly more robust than rule-based RPA, which breaks the moment a form moves.

See an agent quote your carriers live

Bring a sample risk and a few producer logins. The agent will quote them in the demo.