AI for BFSI

AI Transformation for Banking, Finance & Insurance

TunerLabs builds AI for BFSI - banks, NBFCs, insurers, and fintechs. From fraud detection and credit risk modelling to KYC automation, claims processing, and agentic AI for back-office operations. Production-grade systems engineered for regulatory scrutiny.

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45+ Clients Served

60+ Projects Delivered

AI-First Since 2012

Enterprise-Grade

Audit trails, explainability, and compliance-ready architectures

End-to-End AI Engineering

Strategy, architecture, build, deployment, and ongoing optimization

9+ Industries Served

BFSI, manufacturing, retail, ecommerce, SaaS, F&B, hospitality, automobile

Global Delivery

AI-first since 2012, global engineering presence, clients across US, EU, ME, and Asia

BFSI AI & Software Solutions

What We Build for BFSI

TunerLabs is an AI consulting and GenAI development company that builds production-ready AI systems for bfsi businesses - from strategy through deployment to ongoing optimization.

Fraud Detection & AML Monitoring

Real-time fraud scoring for transactions, account takeover detection, and AI-powered anti-money laundering monitoring. Models that learn from your transaction data and integrate with core banking and payment systems.

Credit Risk & Underwriting AI

ML models for credit scoring, alternative data underwriting, and portfolio risk monitoring. Especially powerful for NBFCs and fintechs serving thin-file and new-to-credit segments where traditional bureau data is limited.

KYC, eKYC & Document Intelligence

AI-powered document extraction, OCR, face matching, and liveness detection for KYC and onboarding. Reduce manual review time by 80%+ while improving accuracy and audit trails.

Claims Processing AI

For insurers - intelligent document processing, claim triage, fraud flagging, and automated settlement for low-risk claims. Cut claim cycle time by 60-80% while improving customer experience and operational efficiency.

Customer Service & Conversational AI

AI agents for customer queries, balance enquiries, loan status, claim updates, and grievance handling - across WhatsApp, voice, and chat in multiple Indian languages. Always with regulatory-compliant escalation paths.

Agentic AI for Back Office

Autonomous agents for reconciliation, vendor management, regulatory reporting prep, audit trail generation, and finance operations. Free your operations team from manual data work with audit-ready guardrails.

Why Companies in BFSI Choose TunerLabs

Built for regulatory scrutiny - audit trails, explainability, and human-in-the-loop guardrails on every financial decision

Deep BFSI integrations - core banking systems, LOS/LMS, claims platforms, payment gateways, and credit bureaus

Multi-lingual customer-facing AI for Indian banking and insurance customers (Hindi, English, Kannada, Tamil, Telugu, Marathi, and more)

On-premise, VPC, or hybrid deployments - we support the data residency requirements RBI, IRDAI, and SEBI impose

Bangalore-based AI engineering team with experience across banks, NBFCs, insurers, and fintech startups

AI-first since 2012 - we engineer for 99.95%+ uptime and the reliability BFSI demands

Common Questions

BFSI AI FAQ

What AI projects does TunerLabs build for BFSI?

Fraud detection, credit risk and underwriting models, KYC/eKYC automation, AML monitoring, claims processing AI, conversational AI for customer service, and agentic back-office automation - reconciliation, regulatory reporting, audit trails. Most engagements start with one high-value use case.

How do you handle regulatory compliance and audit requirements?

Every AI system is designed with audit trails, model explainability, version control, and human-in-the-loop guardrails for any financial decision. We support deployments in on-premise or VPC environments to meet RBI, IRDAI, SEBI, and similar regulator requirements on data residency and access.

Can you integrate with our core banking and policy admin systems?

Yes. We integrate with major core banking (Finacle, Flexcube, BaNCS, custom systems), LOS/LMS platforms, claims management systems, payment gateways, credit bureaus (CIBIL, Experian, CRIF), and AML/fraud platforms via APIs or secure file transfer.

What about model explainability and bias for credit decisions?

We use explainable ML techniques (SHAP, LIME, monotonic constraints) for any decision that requires regulatory explainability. Every model is tested for bias across protected segments before deployment, with ongoing monitoring built into production. Audit-ready by design.

Can AI really detect fraud better than rule engines?

Yes - especially for novel fraud patterns. Rule engines catch known attack patterns but miss evolving ones. ML models learn from your transaction data and flag anomalies that rules cannot. Most BFSI clients run both - rules as the safety net, ML as the intelligence layer. We build and tune the ML side.

How long does a BFSI AI project take?

Fraud detection or KYC POC: 6-10 weeks. Credit risk model with integration: 10-16 weeks. Claims AI with end-to-end automation: 12-20 weeks. We scope every engagement clearly with phased delivery milestones aligned to your compliance and integration reviews.

Ready to Transform BFSI With AI?

30 minutes. No commitment. We will scope the highest-value AI opportunity in your bfsi operations and tell you exactly what it takes to ship.

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Questions? Reach us at shyam@tunerlabs.com

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