AI for NBFCs, lenders and CA firms in India

Document and follow-up heavy by nature

An NBFC or lender collects KYC, bank statements, salary slips and ITRs for every application. Insurance distributors chase renewals and documents. CA firms and accounts teams spend season after season keying invoices, matching bank entries and chasing clients for papers. Collections teams make thousands of reminder calls.

Accuracy matters here, so we build with validation rules, confidence thresholds and human review. We do not make credit decisions. For regulated activity, confirm requirements with your compliance adviser.

KYC, statements and financial documents

Document AI reads and checks the papers behind every application and filing. See our document ai and ocr service for how we build it.

• KYC documents (identity and address proofs) extracted and cross-checked for consistency.
• Bank statements parsed into transactions for income and cash-flow analysis.
• Salary slips, ITRs and GST returns read into structured fields.
• Purchase and sales invoices captured for bookkeeping, with GSTIN and total checks.

Collections and renewal calls

Voice agents can handle high-volume, scripted calls in several Indian languages. See our voice ai agents service for how we build it.

• Payment due reminders and promise-to-pay capture.
• Policy renewal reminders with callback booking.
• Document request follow-ups to clients.
• Escalation of disputes and sensitive cases to people.

Reconciliation and workflow

Repetitive matching and chasing can be automated end to end. See our business process automation service for how we build it.

• Bank entries matched to ledger entries, leaving only exceptions.
• Client document chasers over WhatsApp and email.
• Application status updates to customers.
• Approval routing with audit trails.

Assistants and summaries

Grounded assistants can answer staff questions from policy documents and draft client summaries for review. See our generative ai service for how we build it.

• Policy and product Q&A from your own documents.
• Draft notes on a client file for an officer to verify.

Accuracy, audit trails and exceptions

In finance, a quietly wrong number is worse than a slow one. Every system we build checks its own output: totals must add up, balances must reconcile, identifiers must be well-formed and parties must exist in your master data. Anything that fails goes to a person with the source document alongside.

Every action is logged: what was extracted, what was changed, by whom and when. That gives you an audit trail that is often better than manual processing. We can run in an Indian Google Cloud region and apply role-based access. Regulatory expectations for lenders and distributors vary, so please confirm requirements with your compliance adviser. For background on the document technology, see IDP in the glossary.

Use cases at a glance

Where to start

Choose one document type with steady volume, such as bank statements for loan files or purchase invoices for your CA practice. Measure minutes per file today and error rate after review.

For example, if your team handles 300 loan files a month and statement review takes 15 minutes each, that is 75 hours a month a pilot can target. Design access controls and data retention up front, and confirm DPDP obligations with your adviser.

Our usual path is the same in every industry: a short discovery session, a prototype on a sample of your own data, production on Google Cloud, then improvement under an annual maintenance contract. See pricing for how that is structured, or talk to us about your workflow.