Banking, Financial Services & Insurance businesses in India, and what technology actually fixes

Real-time Fraud Detection at Transaction Level

The problem. Payment and application fraud — counterfeit KYC, synthetic identities, and rapid money mule activity cost Indian banks and NBFCs thousands of crores annually.

What we build. An ML model trained on your transaction history and RBI circulars that scores every payment and application in real time, flagging anomalies before they clear — with an audit trail that satisfies internal audit and RBI inspection teams.

What changes. Fewer fraudulent disbursements and account openings caught before payout; compliance-ready anomaly logs for every flagged case.

You probably need this if: You've had 3-5 suspicious applications slip through in the last month that your ops team only caught after the fact.

Delivered as Custom AI Build from ₹2,00,000 one-time

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DPDP Act Readiness for Customer Data Processing

The problem. Regulatory compliance and audit — the DPDP Act carries fines up to ₹250 crore, and RBI's digital lending and data-localisation guidelines keep expanding what you must protect.

What we build. A completed DPDP compliance programme: data-mapping inventory, consent-management flows, DPO appointment framework, breach-response playbook, and staff training — all documented for audit.

What changes. You can show a regulator or auditor a signed compliance posture instead of a spreadsheet of open actions.

You probably need this if: Your legal team has sent around a DPDP checklist and nobody has owned it past the first page.

Delivered as DPDP Act Compliance (India) from ₹39,999 one-time

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Paperless KYC Onboarding from Application to Approval

The problem. KYC and onboarding drag — manual document verification, physically collected forms, and repeated data entry push retail and MSME onboarding from hours to days.

What we build. OCR-powered document ingestion (Aadhaar, PAN, cancelled cheque, ITR) fed into an automated verification workflow with rule-based rejection routing and a human-in-the-loop queue for edge cases — integrated with your existing CRM or core banking system.

What changes. KYC turnaround measured in hours instead of days; drop-off from form fatigue drops visibly.

You probably need this if: Your branch or relationship managers complain that 40% of new-account rejections are fixable but get stuck in manual follow-up.

Delivered as Workflow Automation & AI Agents from ₹39,999 one-time

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Collections Recovery Calls at Scale

The problem. Collections and recovery — field staff capacity limits contact attempts, and manual call scripts miss payment-commitment follow-ups across large NPA buckets.

What we build. An AI voice agent configured with your collection policy, regional language support (Hindi + local language), and responsible-agent guardrails that contacts delinquent accounts, negotiates payment dates, and escalates hard cases to your field team with a full conversation summary.

What changes. More accounts contacted per day, higher repayment-commitment rates, and your field team spends time on high-value recovery conversations instead of routine reminders.

You probably need this if: Your recovery team manages 3-4x the portfolio per officer because there aren't enough bodies for initial-contact calls.

Delivered as AI Voice Agents & Support Automation from ₹1,25,000 one-time

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24×7 Banking Customer Service in Regional Languages

The problem. Customer service volume — branches and contact centres are overwhelmed with balance inquiries, statement requests, and complaint triage that never needed a human.

What we build. A multilingual voice and chat agent handling common banking queries — account balance, mini-statement, branch/atm locator, complaint status, and redirect-to-human for escalation — integrated with your existing telephony and CRM.

What changes. Call-centre handle time drops; customers get instant answers at 2am as easily as at 2pm.

You probably need this if: Your contact centre NPS plateaus because long hold times dominate the few good interactions your agents do have.

Delivered as AI Voice Agents & Support Automation from ₹1,25,000 one-time

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RAG Engine Over Policy and Sanction Documents

The problem. Mountains of document processing — credit sanction letters, policy wordings, and regulatory circulars are stored as PDFs and images, making cross-reference and retrieval a manual hunt.

What we build. A domain-tuned RAG system that indexes your sanction letters, product policies, and RBI/IRDAI circulars, then lets relationship managers and compliance staff ask natural-language questions and get cited answers with source references.

What changes. Deal-team and compliance queries answered in seconds instead of hours; audit responses built from the same engine.

You probably need this if: Your credit or compliance team spends a full day pulling documents for a single board or regulator request.

Delivered as Custom AI Build from ₹2,00,000 one-time

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AI Strategy for BFSI Before You Commit Budget

The problem. Leadership wants AI but doesn't know where it pays off versus where it creates compliance risk — and pilots often end as slide decks.

What we build. A costed, risk-ranked roadmap scoped to your actual systems and regulatory posture — priority use cases, integration effort, data-governance gaps, and a phased rollout plan with go/no-go gates.

What changes. You walk into the next board meeting with a ranked plan and budget ask instead of a wishlist.

You probably need this if: You've had at least two AI pilots stall after discovery because the data or integration scope was underestimated.

Delivered as AI Readiness Assessment & Strategy from ₹24,999 one-time

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How do I know if we need real-time fraud detection at transaction level?

You probably need this if You've had 3-5 suspicious applications slip through in the last month that your ops team only caught after the fact. Once it is running, fewer fraudulent disbursements and account openings caught before payout; compliance-ready anomaly logs for every flagged case.

How do I know if we need dpdp act readiness for customer data processing?

You probably need this if Your legal team has sent around a DPDP checklist and nobody has owned it past the first page. Once it is running, you can show a regulator or auditor a signed compliance posture instead of a spreadsheet of open actions.

How do I know if we need paperless kyc onboarding from application to approval?

You probably need this if Your branch or relationship managers complain that 40% of new-account rejections are fixable but get stuck in manual follow-up. Once it is running, kYC turnaround measured in hours instead of days; drop-off from form fatigue drops visibly.

How do I know if we need collections recovery calls at scale?

You probably need this if Your recovery team manages 3-4x the portfolio per officer because there aren't enough bodies for initial-contact calls. Once it is running, more accounts contacted per day, higher repayment-commitment rates, and your field team spends time on high-value recovery conversations instead of routine reminders.

How do I know if we need 24×7 banking customer service in regional languages?

You probably need this if Your contact centre NPS plateaus because long hold times dominate the few good interactions your agents do have. Once it is running, call-centre handle time drops; customers get instant answers at 2am as easily as at 2pm.

How do I know if we need rag engine over policy and sanction documents?

You probably need this if Your credit or compliance team spends a full day pulling documents for a single board or regulator request. Once it is running, deal-team and compliance queries answered in seconds instead of hours; audit responses built from the same engine.