Your policyholders don't read the fine print. They ask questions.
AI that answers accurately, routes claims intelligently, and never overcommits.

Yes. ChatBotHouse integrates with your policy administration system and claims management platform via API. The AI accesses live policy data, claims status, and customer history to provide accurate responses.

Guardrails are configured specifically for insurance. The AI is instructed to report what the policy says, never to interpret coverage, make promises, or provide advice. Post-processing checks verify every response against compliance rules.

Yes. The AI guides policyholders through a structured intake process, collecting all required fields, supporting documentation, and photos. The structured data feeds directly into your claims system, reducing processing time.

These are automatically escalated to human adjusters. The AI recognizes claim severity based on keywords, damage descriptions, and injury indicators, and routes appropriately with full context.

Yes. The AI is configured per product line with appropriate knowledge bases, workflows, and escalation rules. A single implementation can support multiple insurance products.

Yes, primarily at the intake stage. Traditional FNOL (First Notice of Loss) calls take 15-20 minutes and often result in incomplete data that delays processing. An AI chatbot guides the policyholder through a structured intake, collecting all required fields, photos, and documentation in one go. The data flows directly into your claims system in a clean, structured format. Adjusters start with complete information instead of chasing missing details. The result is faster time to first contact and fewer back-and-forth cycles before settlement.

We build strict guardrails into every insurance chatbot. The AI is instructed to report what the policy document says, never to interpret coverage or make commitments. Phrases like "you're covered for" or "your claim will be approved" are blocked at the response level. When a question gets close to a coverage determination, the AI routes to a human adjuster rather than guessing. Every response is checked against compliance rules before it reaches the customer, and full conversation logs with source attributions are kept for audit purposes.

Yes. The AI works as a pre-purchase tool too. Prospects can ask what policies you offer, what each one covers, and which option fits their situation. The chatbot walks them through coverage differences, explains deductibles and limits in plain language, and clarifies why a particular policy makes sense for their needs. When a prospect is ready to move forward, the chatbot can collect their information and route them to an agent to close. It turns your website into an active sales channel instead of a brochure.

Typical timeline: 2-week discovery to map your products and compliance requirements, 3-5 week PoC covering core use cases, then staged rollout. Most insurers are live within around 3 months.

Yes. Policy lapses often happen because renewal is confusing or the customer forgot. An AI chatbot sends proactive renewal reminders, answers questions about coverage changes or premium adjustments, and walks policyholders through the renewal process step by step. If a customer is considering not renewing, the chatbot can present their options clearly and connect them with an agent who can discuss alternatives. Making renewal frictionless and available 24/7 catches the policyholders who would have lapsed from inaction rather than intent.

The AI is built to recognize that someone filing a claim is often stressed, upset, or dealing with a loss. Its tone during claims intake is empathetic and patient, not robotic. It acknowledges the situation before moving into data collection. For severe claims (injury, total loss, death-related), the AI detects the severity early and routes to a human adjuster immediately rather than continuing with automated intake. The handoff includes full context so the adjuster can start with empathy, not "can you tell me what happened again?"