AI Chatbot for Banking and Fintech

Banking chatbots are not the same problem as customer service chatbots

Most chatbot platforms are built for general customer service. Banking is different. Every useful answer requires looking up a specific account record. Every account lookup requires confirming who the customer is. Every action, whether a dispute, a freeze, or a document upload, touches a regulated system with an audit trail requirement. We build banking chatbots that connect to your core banking API, authenticate before sharing any account data, and handle the financial conversations your customers actually need help with.

  • Core banking API integration for live account balance and transaction data

  • Authentication-gated access before any account information is shared

  • Dispute initiation, fraud alert response, and loan status queries

  • Human handoff with full conversation context to Zendesk, Salesforce, or Intercom

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See our work

The problem

Sound familiar?

  • Your support team spending most of their day answering the same 10 account questions that a chatbot could handle automatically?

  • Deploying a generic chatbot on your banking site that can't access account data and leaves customers more frustrated than before?

Short answer

RaftLabs builds AI chatbots for banks, neobanks, lenders, and fintech companies. Our banking chatbots integrate with core banking APIs to access live account data, handle sensitive financial conversations with authentication-gated access, and route to human agents for regulated activities. We build both LLM-powered and rule-based chatbots depending on your compliance requirements and use case. Delivery typically takes 8 to 12 weeks at a fixed cost.

Key takeaways

  • PII masking (Microsoft Presidio or AWS Comprehend) redacts account numbers and card digits before any data reaches an LLM, so raw financial data never enters the model context.
  • High-stakes paths (dispute initiation, fraud response, card freeze, KYC collection) run as deterministic LangGraph workflows with no LLM generation at decision points.
  • FIDO2/WebAuthn step-up authentication is required before any sensitive operation, even within an already-authenticated session.
  • A core chatbot (account queries, dispute initiation, human handoff) runs $40,000-$80,000; fraud alert response and loan application support add $20,000-$40,000.

Trusted by

Vodafone logo
Aldi logo
Nike logo
Microsoft logo
Heineken logo
Cisco logo
Calorgas logo
Energia Rewards logo

Banking chatbot delivery, by the numbers

API integrated
Core banking
by design
Compliant
cost delivery
Fixed
week delivery
8-12

Banking chatbots are not the same problem as customer service chatbots

Every useful answer requires looking up a specific account record, confirming who the customer is, and touching a regulated system with an audit trail requirement. We build banking chatbots around that reality.

Capabilities

What we build

  • 01
    Account and transaction query bot

    Authenticated real-time balance and transaction retrieval with PII masking before any query reaches an LLM, and RAG-grounded answers for product and fee questions.

    Built with
    Presidio · RAG
  • 02
    Dispute and complaint initiation

    A multi-turn dispute flow collects transaction detail and evidence with state persisted across sessions, handing off to a human agent with full context for complex cases.

    Built with
    LangGraph
  • 03
    Loan and product application support

    Application status, document checklists, and eligibility pre-screening run without a branch call, with step-up authentication gating any account-level query.

  • 04
    Fraud alert response

    Proactive outbound notifications capture a confirm/deny response, with re-verified identity before triggering a card freeze and creating a structured fraud ops case.

  • 05
    KYC and onboarding assistant

    Guided document upload with specific remediation instructions on verification failure, and a clear escalation path to human compliance review for declined applications.

    Built with
    Jumio · Onfido
  • 06
    Human handoff and agent integration

    Intent-based escalation transfers full conversation and account context to a live agent, with every action logged to satisfy Consumer Duty and FINRA supervision requirements.

    Built with
    Twilio Flex · Genesys

How we work

From scope to live banking chatbot

  1. Week 1
    01

    Core system and compliance scoping

    We map your core banking system, support use cases, and regulatory context. You leave week 1 with a written scope document and a fixed-price quote.

  2. Weeks 2-3
    02

    Authentication and escalation design

    Authentication flow, PII masking, and human handoff logic designed against your compliance requirements.

  3. Weeks 4-9
    03

    Build and integrate

    Core banking integration, dialogue flows, and RAG knowledge base built in parallel, tested against real account scenarios.

  4. Final 2-3 weeks
    04

    Launch and compliance review

    Compliance team reviews the audit trail before full production rollout.

Why us

Why banks and fintechs choose RaftLabs

  • 01
    Senior engineers build what they scope

    The engineers who assess your core banking system also build the solution. No bait-and-switch, no offshore handoff after the contract is signed.

  • 02
    Fixed price before development starts

    We scope the work, calculate the cost, and lock it in writing before any development starts.

  • 03
    9 years and 100+ products shipped

    Clients include Vodafone, T-Mobile, Aldi, Nike, Cisco, and Lockheed Martin. Track record building regulated conversational platforms.

  • 04
    Regulated actions stay deterministic

    Disputes, freezes, and KYC collection run as rule-based workflows, not free-form LLM generation.

  • 05
    No raw financial data reaches the model

    PII masking runs before every LLM call, by architecture, not by policy alone.

Have a banking chatbot project?

Tell us your core banking system, the support use cases you want to automate, and the channels your customers use. We'll scope the build and give you a fixed cost.

Talk about your banking chatbot project

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Frequently asked questions

The chatbot authenticates the customer via OTP, biometric, or session token before any core banking API call, with FIDO2/WebAuthn step-up for high-risk operations. A PII masking layer redacts account numbers and card digits before data reaches an LLM, so the model sees tokenised identifiers, not raw financial data. All API calls and masking decisions are logged for audit.

FCA PRIN 12 (Consumer Duty) in the UK, CFPB guidance on fairness and explainability in the US, FINRA supervisory standards for AI-generated communications, and the EU AI Act's high-risk classification for certain financial AI applications all apply. We build audit trails, escalation paths, and human oversight mechanisms to support your compliance team's obligations.

Most banking chatbots we build are hybrid. High-stakes paths (disputes, fraud response, card freeze) run as deterministic LangGraph workflows with no LLM generation at decision points, while LLM capability handles intent detection and RAG-grounded product FAQ queries.

A chatbot covering account queries, dispute initiation, and human handoff typically runs $40,000 to $80,000. Adding fraud alert response, proactive outbound notifications, and loan application support typically adds $20,000 to $40,000.

Work with us

Tell us what you need. We'll tell you what it would take.

We scope AI Chatbot for Banking and Fintech in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.

Go deeper

Browse our case studies

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