evidoria

← Back to browse

Good practice Imported

FINnet 2.0 — India's AI-Enhanced Financial Intelligence Platform Against Money Laundering

India · New Delhi · See the India profile · See the New Delhi profile

Evidence: Descriptive / self-reported Top 62% 53/100 · Ask Evidence Copilot about this practice

India's Financial Intelligence Unit upgraded its FINnet platform with AI/ML risk-scoring, NLP text-mining of suspicious-activity reports and entity-linkage analytics to prioritise anti-money-laundering cases — though no public performance metrics have yet been released.

Details

Maturity
Established
Promoter
Financial Intelligence Unit – India (FIU-IND), Ministry of Finance
Period
2024–
Keywords
anti-money laundering, financial crime, financial regulation

Context

India's Financial Intelligence Unit (FIU-IND) receives suspicious transaction reports from banks and regulated entities nationwide. Growing filing volumes strained the original FINnet system's ability to prioritise investigations.

Activities

FINnet 2.0 adds AI/ML risk-scoring for individuals, businesses, reports and case networks; NLP text-mining of the free-text 'grounds of suspicion' field; and entity-linkage analytics visualising hidden relationships across reports, fed by a new data-sharing MoU with the Ministry of Corporate Affairs.

Results

The architecture and intended function are well documented, but as of publication no independently verified performance figures — detection accuracy, case-resolution rates, false-positive rates — have been made public.

Conclusions

Confidentiality rules governing financial-intelligence work limit external scrutiny of how the AI scoring is actually used in practice.

Implementation
Indicative cost
High (€500k–€5M) — Not disclosed; an upgrade to an existing national platform.
Time to results
Long (> 3 years) — Ongoing operational upgrade, no fixed end date.
Staffing & skills
FIU-IND analysts, Ministry of Corporate Affairs data-sharing partners

Conditions for success

  • Structured data exchange with company-ownership registries to feed entity-linkage
  • Comparable architecture to established peers (UK's SNAP, Brazil's Alice)

Common failure modes

  • No independent performance metrics published; confidentiality rules limit external audit

Commonly funded by

National / regional programmes

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

Do you run this practice? Claim it — verified implementers get a public contact pathway and can propose corrections.

Data sources

Where this practice's information was retrieved from, and when.

Similar practices you may find useful