**Jamie-AIpolicyqueryagent**

# Instant answers across complex insurance products

The AI Agent that resolves policy questions accurately, reducing contact volumes and improving customer experience at scale.

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**See Jamie help a confused customer**

Finding the right answer

# 70% self-served

Policy queries without human intervention.

**Proven in production, delivering measurable impact in months**

## About Jamie

Jamie is the AI agent designed for high volume insurance policy servicing. It understands policy wording, customer history and intent, to deliver consistent, accurate answers - lowering cost to serve while maintaining governance, audibility and trust.

## I'm ideal for…

- Policy queries
- Contact deflection
- Questions and answers

## How Jamie works

Three steps to happy customers.

**01**

##### Customer enquiry

Customer is confused, or has a question they need an answer to.

**02**

##### Jamie references knowledge

Using your data, Jamie interprets the question, and provides an accurate instant answer.

**03**

##### Customer satisfaction

The customer can now complete their task with confidence.

**Wait a moment…**

##### Could I not just build it myself?

Building production-grade AI for insurance requires persistent memory, real-time decisions, compliant personalisation, and continuous learning built in from day one. Jamie delivers the infrastructure without 12-24 months of engineering.

## Safe, regulated AI for insurance

SAFER ensures every AI agent operates securely, transparently and compliantly - meeting regulatory expectations while delivering consistent, auditable outcomes across live insurance journeys.

[How we're making AI safer](https://www.opendialog.ai/articles/opendialog-launches-next-generation-ai-agents-and-safer-ai-benchmark)

#### Ready to get started?

Request a demo and see OpenDialog in action.

**Useful links**

- [About OpenDialog](https://www.opendialog.ai/about-opendialog)
- [News & resources](https://www.opendialog.ai/news)
- [White papers](https://www.opendialog.ai/news/white-papers)