Banking operations without the keying.
We automate onboarding, lending, reconciliation and reporting work for banks, NBFCs, asset managers and distributors. Every bot is built to pass an audit.
More volume, more scrutiny, same headcount.
Digital channels have multiplied application volumes. Back offices still re-key data from core banking screens into loan origination systems, reconcile bank statements against the general ledger in spreadsheets and assemble regulatory returns by hand at month end.
Regulators expect faster KYC refresh, tighter turnaround on disputes and clean audit trails. Each manual handoff is a place where an error, a breach or a missed deadline can start. Automation in this sector must therefore be precise, logged and reversible.
Green-screen and thick-client core systems often have no usable API, so UI automation must be robust.
Month-end close, quarter-end returns and NFO windows create spikes that staffing cannot absorb.
A wrong posting or a leaked PAN is a regulatory event, so controls matter more than speed.
Where automation pays in BFSI.
Account opening and KYC refresh
Extract identity and address data from KYC documents, validate against CKYC and internal records, flag mismatches for review and update customer master data.
01Loan origination
Pull bureau reports, bank statements and income documents, compute eligibility inputs and populate the LOS so credit officers start from a complete file.
02Loan servicing
Process repayment schedule changes, part-prepayments, NACH mandate updates and foreclosure letters across core banking and LMS screens.
03Reconciliations
Match bank statements, nostro entries, payment gateway settlements and suspense accounts to the ledger, with rule-based and fuzzy matching and an exceptions worklist.
04Regulatory reporting
Gather data from source systems, run validation checks, populate return templates and package a reviewer pack with every figure traced to source.
05Card disputes and chargebacks
Classify dispute reasons, gather transaction evidence, prepare representment packs and track scheme deadlines so no case lapses.
06Mutual fund distribution operations
Handle purchase, SIP, switch and redemption paperwork, reconcile brokerage statements and keep investor records current across RTA portals.
07Insurance distribution operations
Key proposals into insurer portals, track policy issuance, reconcile commission statements and chase pending requirements.
08Treasury operations
Capture deal confirmations, match counterparty confirmations, prepare settlement instructions and produce daily position and limit reports.
09Considerations we design for.
- RBI, SEBI and IRDAI-style regulatory reporting with source-to-return traceability
- Maker-checker preserved for postings, limit changes and customer master updates
- PAN, Aadhaar and account numbers masked in logs, screenshots and queue data
- DPDP Act 2023 consent and purpose limitation reflected in data flows
- Unattended bots run under named service accounts with least-privilege roles
- Credentials rotated through a vault such as CyberArk or Azure Key Vault
- SOX-style change control and segregation of duties for bot releases
- Full transaction-level audit trail retained to match your record-keeping policy
- Cut-off times and holiday calendars built into scheduling logic
Faster files, cleaner books.
Reconciliation
Breaks surface the morning after, instead of at month end.
Keying errors
Data moves system to system without retyping.
Audit trail
Every action is logged against a transaction item and a bot identity.
Loan file prep
Credit teams receive complete files in hours rather than days.
Can bots work with our core banking system if it has no API?
Yes. We use UI automation with stable selectors, terminal emulator integration for green screens and defensive checks after every write. Where an API exists, we prefer it.
How do you stop a bot from posting the same entry twice?
Each transaction item carries a unique reference. Before posting, the bot checks whether that reference already exists, so retries are idempotent.
Will customer data leave our environment?
Bots run on your infrastructure or private cloud. Any AI model used for document extraction can be deployed within your tenancy, and we mask personal data in logs.
Can we automate regulatory returns end to end?
We automate gathering, validation and template population. A named officer still reviews and submits, which keeps accountability where regulators expect it.
Do you work with NBFCs and distributors as well as banks?
Yes. The patterns apply across banks, NBFCs, asset managers, brokers and mutual fund or insurance distributors.
Find your first ten automations in two weeks.
A structured discovery sprint that maps your processes, scores them for automation potential and hands you a prioritised roadmap with effort and payback for each.