AI for Banking, Built for Indian Compliance
Iedeo builds production AI for Indian banks, NBFCs and FinTechs — multilingual voicebots, document AI for KYC and onboarding, fraud-anomaly detection, and collections automation. RBI-aligned architecture, DPDP-compliant, India data residency.
Why banking AI fails in India
Compliance gaps
Off-the-shelf AI lacks RBI / DPDP / SEBI alignment — fails audit on day one.
Data residency
Foreign LLM APIs send customer data abroad — contractually and regulatorily unacceptable.
Multilingual scale
Bank customers span 12+ Indian languages. English-only AI loses Tier-2/3.
Document overload
KYC, account opening, claim, loan apps — manual processing kills SLAs.
Fraud at scale
Rule-based fraud detection misses 30-50% of novel patterns. AI is non-negotiable.
Customer service strain
Call centres can't scale 24/7 across 12 languages. Voicebots must.
What Iedeo delivers for BFSI
BFSI voicebots
Multilingual voicebots for collections, KYC, fraud-alert callback, loan-status, branch-locator.
- 12 Indian languages
- RBI audit trails
- PCI-DSS-aware architecture
Customer chatbots
Compliance-aware chatbots for account enquiry, transactions, EMI, complaints.
- On-prem / VPC deploy
- PII redaction
- DPDP-aligned
KYC & onboarding AI
Aadhaar/PAN/passport OCR, video-KYC, cross-document validation, fraud signals.
- 90%+ STP rate
- Real-time decisioning
- CKYC/Digi-Locker integration
Fraud anomaly detection
Unsupervised + supervised ML for transaction, account, application, behaviour anomalies.
- <1s decisioning
- Explainable scoring
- SIEM/SOAR integration
Collections AI
Voicebot + propensity modelling for early-bucket and late-bucket recovery.
- Outbound dialer integration
- DNC / FDCPA-style controls
- A/B script testing
Back-office agents
Autonomous agents for reconciliation, exception handling, internal IT support.
- Human-in-the-loop
- Scoped tool access
- Full audit logs
Our Delivery Process
BFSI use-case discovery
We audit your top customer-facing and back-office workflows. Output: prioritised AI roadmap with expected ROI and timelines.
Compliance architecture
India-residency design, RBI / DPDP / SEBI alignment, on-prem vs VPC trade-offs, audit-trail design.
POC on real data
4-6 week proof of concept on a real (anonymised) data slice. Hard metrics before full project.
Production build
Full integration with core banking, CRM, fraud systems, telephony. Vendor security review baked into delivery.
Pilot + cutover
Phased pilot, real-traffic measurement, regulator-ready documentation, rollback plan.
Industries We Serve
Public sector banks
Multilingual voicebots, citizen-service automation.
Private banks
Premium-customer chatbots, fraud AI, KYC automation.
NBFCs
Collections voicebots, lending document AI.
FinTechs
In-app AI copilots, fraud, KYC, support.
Stock brokers
KYC OCR, customer onboarding, trade support.
Insurance
Claim AI, FNOL voicebots, agent-support chatbots.
Wealth management
Advisor copilots, customer onboarding, document AI.
Co-operative banks
Marathi/Telugu/Tamil voicebots for regional banks.
Why Indian BFSI trusts Iedeo
India-data-residency native
Self-hosted LLMs (Llama 3, Mistral) and on-prem deployment when required. Zero foreign API calls.
RBI / DPDP architecture
We design for audit trails, explainability, consent capture, data minimisation — not bolted on.
Multilingual production track
12 Indian languages in production. Code-switching, regional accents, dialect handling.
No vendor lock-in
You own the source, weights, prompts, datasets. Move to another vendor any day.
Procurement-ready
Vendor security packets, BCP/DR documentation, audit interview responses — ready on day one.
Honest scope
We tell you which AI projects in BFSI work — and which ones are theatre. References under NDA.
Frequently Asked Questions
Common questions about our services and technology.
Are your AI solutions RBI-compliant?
We design India-data-residency architectures with full audit logging, explainability, and on-prem / VPC deployment options. We have shipped to clients that have passed BFSI internal audits and regulator reviews.
Can your voicebot handle 12 Indian languages?
Yes. English, Hindi, Tamil, Telugu, Kannada, Marathi, Bengali, Malayalam, Gujarati, Punjabi, Odia, Assamese — with code-switching across them.
Will customer data leave India?
No, if you require India-residency. We deploy self-hosted LLMs (Llama 3 70B, Mistral, Mixtral) inside your VPC or on-prem. Zero external API calls for sensitive workloads.
How does fraud anomaly detection differ from rule-based fraud?
Rules catch known patterns. AI catches novel patterns, behavioural drift, and zero-day fraud schemes. Most BFSI clients run both — AI catches what rules miss.
What is typical project cost for BFSI AI?
BFSI voicebot or chatbot: ₹15-50L. KYC document AI: ₹20-60L. Fraud anomaly platform: ₹40-100L. Collections AI: ₹15-40L. We give fixed-scope quotes after discovery.
How long until production for a BFSI project?
Voicebot or chatbot: 12-16 weeks (longer than non-BFSI due to compliance). Document AI: 14-20 weeks. Fraud platform: 16-24 weeks.
Do you respond to vendor RFPs and security questionnaires?
Yes. We have completed multiple BFSI vendor security assessments. We provide architecture docs, encryption details, BCP/DR plans, DPDP statements, and on-site audit responses.
Production AI for Indian BFSI
Book a 30-minute discovery call. We will map your highest-ROI AI use cases, share comparable BFSI deployments, and quote an RBI-aware proposal.