Conversational AI

Conversational AI in insurance, done properly

Customers ask. Aron answers — across chat, WhatsApp, email and voice. Grounded in the customer's actual policies, aware of what an AI is allowed to say in a regulated market, escalating to a human when it should.

How conversational AI runs inside Aron

Not a generic chatbot. An insurance-aware assistant with structured grounding.

01

Customer asks a question

On chat, WhatsApp, email or a phone call routed to the AI voice channel. The assistant authenticates the customer and pulls their policies, claims and disclosures.

02

Grounded answer or escalation

The assistant answers based on what's actually in the customer's record — not a general training corpus. If the question crosses an advice boundary, it routes to the human agent with full context preserved.

03

Logged for audit

Every conversation is captured: transcript, sources cited, escalations and outcomes. The full record is replayable for compliance and quality review.

What the AI assistant actually does

Specific use cases — not a generic 'how can I help you today' bot.

Policy Q&A

'Am I covered if I rent my car out?' 'What's my deductible on water damage?' — answered from the customer's actual policy in seconds.

AI voice channel

Inbound calls handled by a natural-voice AI that authenticates, answers, takes claims notifications — and hands off to a producer when needed.

Renewal conversations

Personalised renewal outreach over WhatsApp and chat — the AI explains coverage changes, premium movements, and closes the loop on confirmation.

First-notice-of-loss intake

Conversational claim intake guided by the line's specific FNOL form. The customer talks; the AI fills the structured fields.

Multilingual by default

Supports every language Claude and OpenAI do natively. Customer is served in their language; the agent reads the case in theirs.

Advice boundary enforcement

The assistant knows where regulated advice begins and refuses to cross it. Hand-off to a licensed producer is built in, not bolted on.

What it changes for customer service

24/7
Coverage without night staff
<10s
First response time
Audit
Full transcript and sources
Voice
Chat · WhatsApp · email

Why conversational AI works in insurance only when it's done right

Grounded in the customer's policy, not in a generic corpus

Generic chatbots hallucinate. Aron's assistant answers from the customer's actual record — coverages, exclusions, claim history.

Knows the regulatory line

Advice that requires a licensed producer never gets given by the AI. The escalation paths are codified, not improvised.

Plays nicely with the human team

Every conversation can be picked up by an agent at any time, with full context preserved. The customer never restarts.

Native to your existing channels

Drop it into your WhatsApp business number, your website chat, your inbound voice line. No customer migration needed.

Frequently asked questions

How is this different from a generic AI chatbot?

Generic chatbots answer from the open internet. Aron's assistant is grounded in the customer's policies, the carrier's contract wordings, and the agency's playbooks — and refuses to cross regulated-advice boundaries.

What channels are supported?

Web chat, WhatsApp Business, email and AI voice (inbound calls). Outbound voice campaigns can be set up where regulation allows.

Can it process a claim end-to-end?

First-notice-of-loss intake, yes. Claim adjudication, no — that remains with the human team and the carrier. The AI structures the inbound information so the team starts with a complete file.

How do you prevent hallucination?

Retrieval-augmented generation against the customer's actual records, plus explicit refusal rules on out-of-scope questions. Every answer is logged with the sources cited.

Does it speak our customers' language?

Yes — every major language supported natively by the underlying models (Claude, OpenAI). Italian, English, French, Spanish, German and others ship today.

Will it replace our customer service team?

It removes the boring 80% — the same five questions asked every day. Your team focuses on the 20% that actually needs a human. Most agencies grow their team in this model, just in higher-value roles.

Hear the assistant answer your own policy questions

Bring a sample policy. We'll show you the assistant answering real questions on it, live, in the demo.