Use case #0002

Automated STR Filing: What KYC/AML AI Submits to FIU-IND

Under the Prevention of Money Laundering Act, a lending institution that detects a suspicious transaction must file a Suspicious Transaction Report with FIU-IND within 7 working days of becoming aware of the suspicion. The institution that relies on its compliance team to detect suspicious transactions manually, draft the STR, obtain approval, and file it is the institution that files late, files incompletely, or — most dangerously — fails to file at all because the transaction's suspicious nature was not recognised in time.

Under the Prevention of Money Laundering Act, a lending institution that detects a suspicious transaction must file a Suspicious Transaction Report with FIU-IND within 7 working days of becoming aware of the suspicion. The institution that relies on its compliance team to detect suspicious transactions manually, draft the STR, obtain approval, and file it is the institution that files late, files incompletely, or — most dangerously — fails to file at all because the transaction's suspicious nature was not recognised in time.

What Makes a Transaction Suspicious — and Why the Definition Is Broader Than Most Teams Realise

Most compliance teams focus STR detection on the most visible indicators: large cash transactions above the ₹10 lakh threshold, wire transfers to high-risk jurisdictions, and customers on watchlists. These are important — but they represent only the most obvious fraction of the suspicious transaction universe that PMLA and the FIU-IND reporting framework expects institutions to monitor.

Structuring — where transactions are deliberately kept below reporting thresholds — is harder to detect than large single transactions but more indicative of deliberate money laundering. Loan proceeds that are immediately withdrawn and transferred to multiple accounts rather than used for the stated purpose are suspicious regardless of the transaction size. A borrower whose repayment source suddenly changes from consistent salary credits to irregular cash deposits should be reviewed. A business loan repaid in full within 90 days when no business income source justifies that cash availability warrants examination. The KYC/AML AI monitors for all of these patterns simultaneously, for every customer, every day.

"The 7-working-day STR filing clock does not start when the compliance team reads the alert. It starts when the institution becomes aware of the suspicion — which, under a continuous monitoring regime, is the day the pattern emerges."

The 6 Alert Rule Categories the AI Monitors

High-Value Structuring Critical

Transactions deliberately structured to remain below the ₹10 lakh cash reporting threshold. Multiple cash deposits of ₹9.5–9.9 lakh across consecutive days, or across multiple branches or accounts, indicating deliberate avoidance of reporting obligations.

Trigger: 3+ transactions in 10 days totalling >₹15L with each below ₹10L
Loan Proceeds Layering Critical

Loan proceeds transferred to multiple third-party accounts within 48 hours of disbursement, particularly where the stated loan purpose (property purchase, business expansion) does not match the actual fund flow pattern.

Trigger: >40% of disbursed funds transferred out to 3+ accounts within 48 hours
Repayment Source Anomaly High

A borrower whose established repayment source (salary, business income) is replaced by irregular cash deposits of similar amount. May indicate that third-party funds are being used to service a loan, suggesting the original borrower is not the true economic owner.

Trigger: 2+ consecutive EMIs funded by cash deposits where prior repayments were from salary
Early Repayment Without Income Source High

A loan repaid in full significantly ahead of schedule where no legitimate income event — property sale, investment maturity, business transaction — can be identified from account data. May indicate that the loan was used as a placement vehicle.

Trigger: Full prepayment within 90 days where account data shows no income event justifying cash availability
PEP Transaction Monitoring Enhanced

Politically Exposed Persons require enhanced transaction monitoring beyond standard AML rules. Any transaction above ₹5 lakh from a PEP-linked account is reviewed. Round-figure transactions, transfers to family members, or purchases of high-value assets prompt automatic STR review.

Trigger: Any PEP-linked transaction >₹5L not consistent with declared income source
High-Risk Geography Flow Elevated

Incoming remittances from FATF high-risk or monitored jurisdictions, or outgoing transfers to same, that are not consistent with the customer's documented business activity or personal profile. Triggers enhanced due diligence even if transaction size is below threshold.

Trigger: Any transaction from/to FATF grey/black list jurisdiction >₹1L

The Automated STR: What the AI Drafts and Files

When an alert triggers a confirmed suspicious transaction determination, the KYC/AML AI drafts the complete STR for MLRO review and approval before FIU-IND submission. The draft includes every mandatory field in the FIU-IND STR format — customer identity, account details, transaction specifics, the basis of suspicion with supporting evidence, and the recommended classification. The MLRO's role is to review the draft, confirm or modify the suspicion narrative, and authorise submission. The filing itself is executed by the AI directly through the FIU-IND's reporting portal.

Suspicious Transaction Report — Draft for MLRO Review
STR-2025-1184 · Auto-Generated · Nov 12, 2025 · FIU-IND Format
Institution Name[Lending Institution Name]
FIU-IND RegistrationFIU-REG-2019-NBFC-0441
Principal Officer Name[MLRO Name] — Chief Compliance Officer
Report DateNovember 12, 2025
Customer NameMehta Trading Company (Director: Vinay Mehta)
Account NumberLA-2024-4882 (Business LAP — ₹42L sanctioned)
KYC DocumentsGSTIN: 27AABCM1234F1Z5 · PAN: AABCM1234F
Customer Risk RatingMedium (elevated to High on alert)
Relationship SinceMarch 14, 2024
Alert Trigger DateNovember 10, 2025
Transaction TypeLoan Proceeds — Fund Transfer Post-Disbursement
Amount₹38,40,000 (91.4% of disbursed ₹42L)
DateNovember 9, 2025 (36 hours post-disbursement)
Recipient Accounts4 separate accounts — 2 individual, 2 entity — not disclosed at origination
Stated Loan PurposeCommercial property purchase — Navi Mumbai
Actual Fund FlowNo property payment detected — funds dispersed to unrelated accounts
The subject customer, Mehta Trading Company, received a loan disbursement of ₹42,00,000 on November 8, 2025, against a stated purpose of commercial property acquisition in Navi Mumbai. Within 36 hours of disbursement (November 9, 2025), ₹38,40,000 (91.4% of the disbursed amount) was transferred to four bank accounts not disclosed during the origination process. Cross-referencing with property registration data reveals no property purchase transaction associated with the subject customer in the Navi Mumbai district during the relevant period. Two of the four recipient accounts have been identified through network analysis as being associated with accounts that received funds from three other recently-disbursed loans at this institution. This pattern is consistent with loan proceeds being used for purposes other than the stated purpose, and may indicate a placement or layering transaction under the Prevention of Money Laundering Act 2002. The institution has not been able to obtain a satisfactory explanation from the customer for this fund flow pattern. The matter is being referred to FIU-IND for further investigation.
7 daysPMLA filing deadline — AI drafts complete STR within 24 hours of confirmed alert
6Alert rule categories monitored — from structuring to PEP transactions to fund flow anomalies
100%STRs include complete narrative, transaction evidence, and network analysis findings
MLROEvery AI-drafted STR reviewed and approved by the principal officer before submission

Late STR Filing Is Not a Technical Violation — It Is Evidence of a Failed AML Programme

When the FIU-IND evaluates an institution's AML compliance, it does not look only at whether STRs were filed. It looks at whether they were filed within the statutory window, whether the suspicion narrative demonstrates genuine analytical engagement with the transaction, and whether the institution's monitoring systems detected the pattern in time to file promptly. An AI-drafted STR that is filed on day 3 of a 7-day window, with a complete transaction analysis and network finding embedded in the narrative, demonstrates a compliance programme that takes its PMLA obligations seriously. That demonstration has regulatory value that far exceeds the individual filing.

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