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proRBIFIU-IND

AML Customer Risk-Based-Approach Scorer (PMLA / RBI MD KYC)

Score a single customer profile across 6 PMLA risk dimensions (geography, product, customer type, transaction pattern, channel, PEP/sanctions). Produces a weighted composite (0-100) → Low / Medium / High tier with EDD triggers and a Claude-drafted CDD memo aligned to RBI Master Direction on KYC + FATF RBA guidance.

Frequency: on_demand ~14 credits / run Mentor: priya
Pro / Premium template

This template includes 4 automation steps, 10 inputs and 4 structured outputs. Upgrade to Pro to see the full playbook, save it to your profile, and configure it.

See Pro pricing

Estimate your monthly spend

See your credit usage and rough ₹ cost before you schedule anything. You only pay credits when a scheduled or manual run actually executes.

Credits / month
56
4 × 14 credits/run
₹ Range / month
₹56 – ₹84
₹1 – ₹1.5 per credit (current Pro tier)
Compare to ~24000/month of human analyst time saved (₹1,500/hr blended).

Why this matters

Score a single customer profile across 6 PMLA risk dimensions (geography, product, customer type, transaction pattern, channel, PEP/sanctions). Produces a weighted composite (0-100) → Low / Medium / High tier with EDD triggers and a Claude-drafted CDD memo aligned to RBI Master Direction on KYC + FATF RBA guidance.

Who it helps
  • · BFSI risk & compliance teams
Repetitive tasks it removes
  • · Repetitive data lookups
  • · Manual report formatting
  • · Cross-team chase-ups
Roughly 16 hours saved every month
Benchmark — varies with org size, data volume, and existing tooling.

This is here to make your life easier — not replace you. The automation handles the repetitive heavy lifting so you can spend more time on judgement, stakeholder conversations, and the work only a human can do.

AI-generated output. Outputs from this workflow are produced by an LLM and must be reviewed by a qualified human before publication, regulatory submission, or financial decision-making.

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