19 · Access International productIn progress / ready for deployment

Customer relations RAG chatbot — Banking and insurance

Sourced answers to client questions on their contracts, guarantees, procedures — no hallucination, with smooth human escalation.

Conversational chatbot for banking and insurance customer relations, powered by a RAG on product documentation, terms and conditions, procedures. The customer queries in natural language their contracts, guarantees, ongoing steps. The chatbot responds with sourced citations and escalates to a human advisor for out-of-scope or sensitive cases. Doubled with an internal variant for support functions: HR, legal, compliance, advisor training. MCP-first architecture orchestrated through our ATLAS-Agentic methodology.

Goal
Answer banking/insurance customer questions with citation of source contracts and without hallucination.
How
B&I specialized RAG chatbot + contract indexing + journaling + advisor escalation.

Benefits

  • The customer gets a clear and sourced answer to their question 24/7, without waiting for an appointment
  • The advisor is freed from repetitive questions and focuses on added value
  • Internal variant: HR, legal, compliance functions have an assistant that knows the document heritage
  • Native banking/insurance compliance (professional secrecy, traceability, audit)
Access reference — already deployed in production
Sector
MEA banking & insurance · first client scoping
Delivery mode
Contract-grounded RAG chatbot + human advisor escalation
Volume / scope
Sourced answers on contracts · full journaling · audit trail
Stack
LLM · pgvector · fine-grained access control · MCP · ATLAS-Compliance
Status
In scoping, Zero Standing Privilege doctrine applied

Reference anonymized under confidentiality. Details available on request under NDA.

Customer experience impact

Felt service and NPS lift

A banking or insurance customer who gets a precise answer at 10pm on a detail of their contract feels autonomous and respected. A customer who no longer has to schedule an appointment for a simple question saves time. The doctrine is clear: we don't track the customer, we serve them better. Expected impact: improved Net Promoter Score, loyalty, increased trust in the relationship.

Typical use cases

Retail banking, private banking, life insurance, non-life insurance, mutual, broker, internal complement for advisor training and support of cross-functional functions (HR, legal, compliance).

External customer relations — contract questions

The banking or insurance customer queries in natural language their own contracts: guarantees, exclusions, claims procedures, deadlines. The chatbot responds with sourced citations and escalates to human for sensitive cases.

Internal HR and advisor support

Internal variant for banking/insurance advisors: access to internal procedures, complete product documentation, compliance-certified response scripts. Accelerates new advisor onboarding.

Legal and compliance

Search in internal case law, legal opinions, compliance memos. Allows cross-functional functions to respond quickly and accurately to business requests.

Dynamic product FAQ

Beyond static FAQ, the chatbot builds the response from up-to-date documentation. When a product evolves, documentation is re-indexed and answers follow automatically.

Business functions served

Business functions served

This product applies to the following business functions. Click to discover how we adapt it to each.

Frequently asked questions

Frequently asked questions

How are hallucinations avoided?+

The LLM only responds from documents returned by vector search, and each response is sourced with citation. Continuous automated quality bench to detect drifts. For sensitive subjects (financial product recommendation, claim opinion), systematic human escalation.

Banking/insurance compliance?+

Architecture designed for sector constraints: professional secrecy (compartmentalization, logging, access), GDPR (legal bases, right to erasure), AML (signal alerts), AI Act high-risk (HITL for high-impact decisions). Independent audit planned by contract.

What gap with a classic customer chatbot?+

A classic chatbot responds from a frozen FAQ database. Our RAG continuously accesses your up-to-date documentation with sourced citations. When you publish new general terms, the chatbot knows them within the hour. No outdated answers, no invented answers.

What difference with product 13 document RAG?+

Product 13 is internal generalist, deployable in all functions of any company. Product 19 is specialized banking/insurance with external + internal customer relations doctrine, native sectoral compliance, integration with customer portals and specific business workflows.

Time to production?+

Six to twelve weeks depending on scope (external customer relations only, internal only, or both) and complexity of source documentation. Pilot on a product or domain in four to six weeks.

Want to explore this product in your context?

Free initial scoping, 30 minutes to 2 hours, with a solution lead adapted to your sector.