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Industries — Banking & Finance

Financial AI That
Stays Inside Your Vault.

On-premise. Full audit trails. Zero cloud dependency.

Loan document processing, KYC automation, compliance monitoring, and customer service AI — running inside your data center. Every AI decision logged. Every document access tracked. No customer financial data leaves your infrastructure.

100%
Data Residency
Audited
Every Decision
Cited
Every Answer
On-Prem
Deployment Only
BFSI AI Assessment
We'll map AI opportunities for your financial operations.
Your data stays private. We never share your information.
01 — BFSI AI Use Cases

Six Ways AI Transforms Financial Operations

Each capability runs inside your data center. Customer financial data never touches an external server.

Loan Document Processing

AI extracts data from loan applications, income proofs, bank statements, and collateral documents. Generates risk summaries with cited sources for underwriters. Reduces processing time from days to hours.

KYC/AML Document Verification

Automated extraction and verification from identity documents, address proofs, and corporate filings. OCR for scanned documents. Flags discrepancies and routes exceptions to human compliance officers.

Compliance Monitoring

Continuous monitoring of regulatory requirements against your operations. AI tracks policy changes, flags non-compliant transactions, and generates compliance reports with full audit trails.

Financial Report Analysis

Upload annual reports, quarterly filings, credit ratings — AI extracts key metrics, generates summaries, answers questions with cited sources. Internal analyst productivity tool.

Voice-Based KYC & Support

AI voice agents for account inquiries, balance checks, transaction disputes, and KYC verification calls. 22+ Indian languages. Every call recorded and transcribed on your infrastructure.

Internal Policy Q&A

RAG-powered knowledge agent for branch staff. Ask questions about internal policies, procedures, compliance rules — get cited answers from your policy document base. Reduces HQ escalations.

02 — Compliance by Architecture

Built for Regulatory Reality

Financial AI in India operates under strict data governance. Our architecture is designed around these constraints.

🔒

DPDP Act Compliant

Customer financial data processed and stored entirely on your infrastructure. Data sovereignty by design.

📋

Full Audit Trails

Every AI decision logged with timestamp, input, output, model version, and confidence score.

🔍

Cited Sources

Every AI-generated answer cites the source document, page, and paragraph. No black-box responses.

🛡️

Air-Gap Ready

Complete network isolation for institutions that require it. Zero external connections.

👥

Human-in-the-Loop

AI surfaces information. Credit decisions and compliance judgments remain with authorized personnel.

🔄

Progressive Autonomy

Every action starts T1 (human review). Routine ops can graduate to T2 after proven agreement patterns.

See Financial Document AI in Action

Bring a de-identified loan application or financial document. Watch the AI extract, analyze, and answer questions in 60 seconds — on local hardware.

Customer Financial Data Stays in Your Vault

Every AI model runs inside your data center. Full audit trails for regulatory review. Zero cloud dependency. Air-gap ready.

04 — The Difference

Cloud AI vs On-Premise AI for Banking

In financial services, where your data lives isn't a preference — it's a regulatory requirement.

Cloud AI in Banking

×Customer financial data processed on vendor servers
×Per-query pricing that escalates with transaction volume
×Audit trail lives outside your control
×Internet dependency — outage disrupts operations
×Vendor has access to your data processing patterns
×Complex compliance mapping for data residency
×AI model updates controlled by vendor timeline

BiltIQ On-Premise for Banking

All data processed inside your data center on your hardware
Fixed infrastructure cost — zero per-query charges
Complete audit trail under your governance
Works offline and air-gapped if required
No third party sees your data or processing patterns
Data residency satisfied by default — data never moves
You control when and how AI models are updated
05 — Institutions We Serve

Across the Financial Sector

🏦 Commercial Banks

Loan processing, KYC/AML, compliance monitoring, customer service AI, internal policy Q&A.

💳 NBFCs

Loan document processing, collection call automation, regulatory reporting, onboarding workflows.

🛡️ Insurance

Claims document analysis, policy Q&A, underwriting assist, voice agents in 22+ Indian languages.

🤝 Cooperative Banks

Multilingual customer service, document processing for rural branches, Hindi + regional voice agents.

Fintech

Document verification APIs, KYC automation, compliance monitoring, real-time transaction analysis.

🏛️ PSU Banks & RRBs

Air-gapped deployment, multilingual citizen services, scheme info agents, internal training LMS.

06 — Architecture

Enterprise-Grade. Bank-Hardened.

On-Premise LLMNVIDIA GPU InferenceAir-Gap ReadyFastAPIPostgreSQLpgvectorOCR PipelineSIP/VoIPDocker ComposeMCP ProtocolFull Audit LoggingRole-Based Access

Deployment: Inside your data center. Product deployment: 3-5 days. Custom integrations: 4\u201312 weeks. We maintain the stack ongoing.

07 — Frequently Asked Questions

Banking & Finance AI Questions

How does on-premise AI help with regulatory compliance?

When your AI runs on your own infrastructure, customer financial data never leaves your data center. Every AI decision is logged with full audit trails. This satisfies data residency requirements and makes regulatory audits straightforward — you can show exactly where data lives and how it is processed.

Can AI automate KYC document verification?

Yes. Our document AI extracts and verifies information from identity documents, address proofs, income statements, and corporate filings. OCR handles scanned documents. The AI flags discrepancies and routes exceptions to human reviewers — it doesn’t make final compliance decisions autonomously.

What about data security for financial records?

Every AI model runs inside your data center on your GPU hardware. No financial data — customer records, transaction logs, or compliance documents — leaves your infrastructure. Air-gapped deployment is available for institutions that require complete network isolation.

Can AI process loan applications?

Our document AI extracts data from loan applications, income proofs, bank statements, and collateral documents. It generates risk summaries with cited sources. The AI surfaces relevant information for underwriters — the credit decision remains with your team.

How long does deployment take for a bank?

ATC products take 3-5 days. Custom integrations with core banking systems take 4–12 weeks depending on API availability and compliance review cycles.

Can this integrate with our core banking system?

Yes. We integrate via REST APIs, database connectors, or file-based interfaces. The AI pulls real-time data with read-only access by default. Write operations require explicit approval workflows.

What GPU hardware do we need?

Document AI runs on a single NVIDIA RTX 4090. Voice agents at scale require A100 GPUs. We spec exact hardware during the architecture assessment.

Get Your BFSI AI Assessment

We'll map AI opportunities for your financial operations — document workflows, compliance requirements, and deployment architecture.

Full audit trails
On-premise deployment
Zero cloud dependency

Your Data. Your Premises. Your AI.