AI for bank operations that cites its evidence, from KYC files to trade documents
We build document, voice, vision and AI-security systems for banks that fit existing core banking, clearing and complaint workflows, keep data in your environment and leave decisions with your officers.
Banks run on structured systems, yet much of the daily work still starts with a document, a phone call or an image: KYC files, LC presentations, cheque images, complaint letters, branch CCTV. That is where applied AI helps today, reading and cross-checking these inputs, preparing a checked draft and pointing an officer to the exact page or frame that needs judgement. It should not make credit decisions, KYC sign-off, signature verification or regulatory attestations unsupervised. Our systems are built for that split: deterministic rules where the answer must be exact, language models where documents vary, confidence thresholds that route doubt to people, and an audit trail that supervisors, internal audit and RBI inspection teams can follow.
Challenges we hear
Document-heavy work behind digital front ends
Account opening, trade finance and servicing still depend on officers reading scanned OVDs, entity documents and shipping papers, even when the customer journey looks digital.
Regulatory timelines with little slack
KYC updates, complaint resolution, cheque clearing windows and periodic RBI returns all run on fixed timelines, so backlogs quickly become compliance exposure.
Customers across many languages
Service requests arrive in Hindi, Hinglish and regional languages, and IVR menus built around English push customers to branches or long call queues.
AI adoption under supervisory scrutiny
Boards, auditors and RBI expect banks to evidence how AI systems are inventoried, tested and monitored, while customer-facing bots open new fraud and data-leakage paths.
Where AI fits
Document Intelligence
Reads OVDs, LC document sets, complaint letters and return instructions, extracts fields with page references and runs the bank's own checklists before an officer signs off.
Computer Vision
Flags cheque signature and field mismatches for inward-clearing officers, and turns existing branch CCTV into anonymous queue and footfall counts.
Voice AI
Handles authenticated service requests in Hindi, Hinglish and regional languages, and hands over to a contact-centre agent with full context when needed.
AI Security & Compliance
Red-teams bank chatbots and voice agents for prompt injection, data leakage and social engineering, and assembles AI governance evidence for boards and auditors.
AI Sales & Marketing Automation
Scores cross-sell propensity from consented banking data and drafts personalised, consent-checked outreach that relationship managers approve.
Use cases
- Featured
Account Opening Document Verification
Check OVDs, PAN, masked Aadhaar, photographs and entity documents in an account opening file against each other and against CKYC, with mismatches routed to an officer.
- Featured
Trade Finance Document Checking (LCs, Bills of Lading)
Examine LC presentations against the credit terms, UCP 600 and ISBP, and give trade operations a draft discrepancy list with every finding tied to a document and clause.
Regulatory Return Preparation Assistant
Prepare RBI return workings from core banking and GL extracts, run validation and variance checks before upload, and draft explanations that reporting teams review and sign off.
Customer Complaint Triage and Routing
Classify complaints from email, branches, social media and RBI CMS, spot urgent cases such as unauthorised transactions, route them to resolver teams and draft acknowledgements.
Multilingual Voice Agent for Banking Service Requests
An inbound voice agent that authenticates callers and handles card blocking, statements, cheque books and status queries in Hindi, Hinglish and regional languages, with clean handover.
Cheque Image and Signature Mismatch Flagging
Compare inward CTS cheque images with specimen signatures, mandates and Positive Pay data, and rank cheques by risk so verification officers look first where it matters.
Branch Queue and Footfall Analytics
Turn existing branch CCTV into anonymous counts of footfall, queue length and counter wait times, so branch and regional managers can plan staffing and act on long queues.
- Featured
Red-Teaming for Bank Chatbots and Voice Agents
Adversarial testing of bank chatbots and voice agents for prompt injection, data leakage, account-takeover social engineering and unsafe advice, in English, Hindi and Hinglish.
AI Governance Evidence Pack for Banks
Inventory the bank's AI and ML systems and assemble the evidence boards, auditors and supervisors ask for: purpose, data, testing, monitoring, incidents and accountable owners.
Cross-Sell Lead Scoring and Personalised Outreach
Score existing customers for products they are likely to need from consented banking data, and draft compliant, personalised outreach that relationship managers review before sending.
Regulatory context
RBI Master Direction on KYC (2016, as amended)
Sets customer due diligence, officially valid documents, V-CIP, CKYC and periodic KYC update requirements. Our document checks are designed to support these processes, not to replace the bank's KYC sign-off.
Digital Personal Data Protection Act 2023 (India)
Requires a lawful basis such as consent, purpose limitation, security safeguards and breach handling for personal data. We design pipelines to minimise and mask data and to run in the bank's chosen environment.
RBI directions on IT governance and IT outsourcing (2023)
RBI's Master Directions on IT governance, risk and controls and on outsourcing of IT services expect banks to manage risk, audit rights and data location when they use third-party technology, including AI vendors.
RBI FREE-AI framework (2025)
A framework of recommendations for responsible and ethical AI in the financial sector, covering board-approved AI policy, AI inventories, testing and consumer protection. Our governance work helps banks evidence progress against it.
FAQs
01Can these systems run inside our own environment?
Yes. We can deploy in your data centre, your private cloud tenancy or an India region of a major cloud provider, and use models that do not retain or train on your data. Masking, logging and access controls follow your information security policy.
02Will AI make KYC, clearing or credit decisions?
No. Our systems prepare checked drafts, flag exceptions and show the evidence. Officers make KYC sign-off, cheque pass or return, complaint closure and every credit decision.
03How do you work with our core banking system?
Through integration patterns your IT team already approves: APIs, middleware, SFTP drops or staging tables. We avoid writing directly into core banking and agree every field mapping during the pilot.
04What does a first engagement look like?
A three to four week pilot on one narrow process, run on de-identified or consented data in parallel with your current process. You get a working system, a measured comparison against your officers' own work and a production plan with cost.
Related industries
Founded by Akhilesh Mittal. 8 years building a security platform for a New Zealand company. IIT ISM Dhanbad and IMT Ghaziabad. Builds production agentic AI.
Pick one banking process and test it with evidence
Book a discovery call to choose a narrow pilot, from KYC file checks to voice-agent red-teaming, and see measured results on your own documents before any wider roll-out.