Not one chatbot. A full AI layer: quote generation, agent copilot, document parsing, renewal optimisation, predictive retention. Built on Claude and OpenAI, deployable today on your book.
Not a separate product — woven into the workflows your team already runs.
Document extraction, data entry, carrier portal navigation, follow-up emails — the things that consume an agent's day are now done by AI, not by humans.
While the agent talks to the customer, the copilot suggests coverage gaps, ranks quotes with rationale, and drafts the next email. The human stays in charge — the AI removes friction.
Renewal nudges, cross-sell suggestions, churn-risk alerts — the agency stays on top of 10k+ relationships without hiring a comparable team.
Concrete capabilities — not 'AI somewhere in the product'.
Multi-carrier quoting with AI-ranked options and natural-language rationale. The best AI quoting tool for agencies because it explains itself.
A side-panel AI that watches the agent's session, surfaces the right policy, drafts replies, summarises long claim threads.
Upload a PDF policy from another carrier — Aron extracts coverages, exclusions and limits in seconds. No manual data entry.
For each customer, AI compares actual coverages against a target protection profile and surfaces specific cross-sell opportunities.
Score each renewal by churn risk. Personalise outreach timing, tone and offer based on the customer's pattern, not a one-size cadence.
Personalised, on-brand customer messages drafted by AI and approved by the agent in one click. Goodbye blank-email syndrome.
We use the same AI in our own retail brand. Every model decision was de-risked against 60k+ real policies before being shipped to customers.
Different jobs route to different models — Claude for nuance, OpenAI for speed, specialist models for OCR. You don't have to pick one provider.
AI outputs that affect a customer (advice, coverage suggestions, claim summaries) carry disclaimers and audit metadata. Built for IDD-style regimes.
Bring your own AI agent — Aron exposes an MCP server, so any Claude / OpenAI-compatible client can read the book and act on it.
Quoting (multi-carrier comparison with rationale), agent copilot, document extraction from policies and quotes, coverage-gap analysis, predictive renewals, and conversational customer support. Each one lives inside Aron and runs on production books.
Specific. Each AI capability is wired to insurance data structures — policies, coverages, exclusions, claims, regulatory disclosures — and trained on insurance corpora. A generic AI chatbot can't do any of these well.
Claude (Anthropic) for reasoning and nuance, OpenAI for speed and tool use, specialist OCR models for document extraction. Routing is handled inside Aron — agencies don't manage model selection.
Always. Aron is human-in-the-loop. The AI proposes — the agent reviews and approves. Every override is logged, both to protect the agency and to improve the models.
Customer-identifying data is filtered before any external model call. Where regulation requires it, customer data is processed by EU-region models with no training opt-in. Specifics covered under DPA in your contract.
Yes — Aron exposes an MCP server, so any modern AI agent can read your book and take actions inside Aron with the correct permissions.
Bring your most painful agent workflow. We'll show you the AI version running on a demo tenant.