🏛️ XPndAI FinTech AI — Custom Enterprise Build

Custom Financial Crime AI Agents — AML Investigation, Alert Triage & SAR Automation

XPndAI builds AI agents that compress AML and financial crime investigations from hours to minutes. Alert intake → customer profile assembly → transaction pattern analysis → sanctions & adverse media check → AI-authored investigation summary → SAR draft → escalation routing. For banks, fintechs, payment companies, and exchange houses. RBI PMLA + CBUAE compliant.

🇮🇳 India: ₹20L – ₹75L+
🇦🇪 UAE: AED 100k – AED 400k+
📋 Get a Fixed-Price Quote 💬 WhatsApp Our FinTech Team
₹20L
Starting India
AED 100k
Starting UAE
PMLA + CBUAE
Compliant
Hours → Mins
Investigation Time
The Problem

What Enterprise FinTech Buyers Are Dealing With

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AML alert volume is overwhelming

Transaction monitoring systems generate thousands of alerts per month. Compliance teams work through a fraction of them. Alert-to-investigation ratio is critically low. Regulators see this as a systemic risk — RBI and CBUAE both cite alert management as a key supervisory concern.

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Investigation is manual, slow, and inconsistent

Each alert requires an analyst to assemble a customer profile manually — pulling transactions, checking KYC files, running sanctions searches, reviewing adverse media. Each investigation takes 2–8 hours. Analyst quality varies. Documentation is inconsistent. SAR drafting is time-consuming and error-prone.

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AI-generated fraud is escalating fast

AI-created synthetic identities, deepfake KYC documents, and cloned voice verification are making traditional rule-based fraud detection ineffective. BCG's 2026 banking report specifically highlights the need for AI-based defenses to counter AI-powered financial crime.

What We Build

The Full Pipeline — End to End

XPndAI builds the entire agent workflow. Not an integration project. Not a POC. A production system with your data, your policies, your integrations — handed over with source code.

1
Alert Ingestion & Triage AI Agent
Alerts from your existing TMS (NICE Actimize, Temenos Financial Crime Mitigation, Oracle FCCM, custom) received via API or batch. AI scores each alert for investigation priority using transaction context, customer risk tier, and alert history. Low-priority alerts auto-resolved with documentation. High-priority alerts escalated immediately.
2
Customer Profile Assembly AI Agent
AI pulls the complete customer profile from connected systems: onboarding KYC data, transaction history (12–24 months), previous alerts and their outcomes, relationship data (connected accounts, beneficial owners), product holdings, and CRM notes — assembled into a single investigation context in under 30 seconds.
3
KYC Document Review XPndAI Extract
KYC documents re-examined at investigation time: identity documents checked for tamper signals, address documents validated, corporate documents (trade licence, MOA) reviewed for UBO (Ultimate Beneficial Owner) extraction. Document anomalies flagged for analyst review.
4
Transaction Pattern Analysis AI Agent
AI analyses the flagged transaction set: structuring patterns (multiple transactions just below reporting thresholds), unusual geographic concentration, rapid cycling (funds in and out within hours), counterparty network analysis, cash transaction patterns, cross-border fund flows. Each pattern produces an evidence-backed finding.
5
Sanctions & Adverse Media Screening AI Agent
Customer name and associated parties screened against: OFAC SDN list, UN Consolidated List, EU Consolidated List, RBI/FIU-IND designated entities (India), CBUAE sanctions list (UAE), HM Treasury (UK), FATF grey/black lists. Adverse media search across news sources. PEP (Politically Exposed Person) check via Dow Jones or WorldCheck API.
6
Investigation Summary Generation AI Agent
AI authors a structured investigation narrative: case summary, customer risk profile, transaction findings, pattern analysis, sanctions results, adverse media findings, recommended disposition (close / monitor / escalate to SAR). Analyst reviews and amends. This replaces the analyst writing from scratch.
7
SAR / CTR Draft Preparation AI Agent
For cases escalated to reporting: AI pre-fills the SAR (Suspicious Activity Report) or CTR (Currency Transaction Report) form with extracted case data — customer details, transaction summary, suspicious activity description, filing details. India: FIU-IND STR/CTR formats. UAE: CBUAE/AMLSCU goAML format. Analyst reviews and submits.
8
Audit Trail & Regulatory Documentation Compliance
Every investigation step logged: alert receipt, profile pull, screening results, AI findings, analyst actions, disposition decision, SAR filing reference. Full audit trail maintained for RBI / CBUAE supervisory examination. Immutable records. Retention policy configured per regulatory requirement.
Integrations

Systems We Connect To

Transaction Monitoring Systems

NICE Actimize, Oracle FCCM, Temenos FCM, ComplyAdvantage, or custom TMS — connects via API. XPndAI supplements your TMS with AI investigation automation, it does not replace it.

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Sanctions & PEP Databases

Dow Jones Risk & Compliance, Refinitiv WorldCheck, LexisNexis Bridger, ComplyAdvantage, ACURIS — any sanctions/PEP API can be integrated. Direct connection to OFAC, UN, CBUAE public lists also supported.

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Core Banking & Transaction Data

Connects to core banking (Finacle, FLEXCUBE, Temenos T24, custom CBS) for transaction history and customer data pull. Also supports data warehouse / SFTP batch where real-time API is not available.

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goAML (CBUAE / AMLSCU)

UAE: Direct integration with CBUAE's goAML reporting platform for STR/CTR/SAR submission. UAE financial institutions required to file via goAML — the agent pre-fills and routes for compliance sign-off before submission.

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FIU-IND Reporting (India)

India: FIU-IND STR (Suspicious Transaction Report), CTR (Cash Transaction Report), CCR (Cross Border Wire Transfer Report) formats pre-filled from investigation data. Submission to FIU-IND reporting portal.

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Security & Hosting

All investigation data kept within your infrastructure (on-prem or private cloud). UAE: UAE national cloud hosting or on-premises. India: Mumbai/Pune AWS or Azure regions. No investigation data leaves your environment.

Compliance

Regulatory Framework

Built for the regulatory environment your business operates in. Not a generic AI product retrofitted for compliance — compliance is designed in from architecture phase.

PMLA 2002 + 2023 Amendments (India)
FIU-IND STR / CTR Reporting
RBI AML / CFT Master Direction
CBUAE AML/CFT Guidelines (UAE)
AMLSCU goAML Platform (UAE)
FATF Recommendations

Powered by XPndAI Extract — Document Intelligence Layer

Every document in this workflow is read by XPndAI Extract — our purpose-built financial document AI. Not generic OCR. Trained on Indian and UAE financial documents with field-level validation.

KYC document extraction (Emirates ID, PAN, Aadhaar, passport)
Corporate document extraction (trade licence, MOA, ownership docs)
Bank statement extraction (India + UAE banks)
Transaction record extraction from statements
Tamper detection on ID documents
Comparison

XPndAI vs Manual AML Investigation (analyst-led)

FactorXPndAI (Custom Build)Manual AML Investigation (analyst-led)
Investigation time per alert15–30 minutes (AI + analyst review)2–8 hours (fully manual)
Alert throughputFull queue — all alerts triagedTypically 20–40% of alert queue
ConsistencyAI applies same logic to every alertVaries by analyst experience
SAR preparationAI pre-fills from case dataManual drafting (30–90 min each)
Regulatory documentationAutomated audit trail per investigationManual case notes / spreadsheets
TMS replacementNo — supplements your existing TMSReplacing TMS = 12–24 month project
Source code100% yours at handoverN/A
Pricing

Fixed-Price Engagement — India & UAE

All XPndAI builds are fixed price. No T&M billing. No open-ended scope. Discovery workshop → system spec → fixed quote → build. Source code handed over at project close.

🇮🇳 India
₹20L – ₹75L+
  • ₹20L–₹30L: Fintech / payment company, basic alert triage + investigation summary
  • ₹35L–₹50L: NBFC / MFI, PMLA-compliant with FIU-IND reporting integration
  • ₹55L–₹75L+: Bank, full TMS integration + SAR automation + core banking pull
  • ₹75L+: Large bank, multi-branch, enterprise security, regulatory UAT support
🇦🇪 UAE
AED 100k – AED 400k+
  • AED 100k–150k: Fintech / exchange house, CBUAE-ready + goAML integration
  • AED 175k–250k: Bank, full TMS integration + UAE sanctions + SAR pipeline
  • AED 300k–400k+: Bank-grade with UAE hosting, CBUAE supervisory readiness
  • AED 400k+: Multi-entity financial group, UAE + offshore compliance scope
FAQ

Common Questions

What is a financial crime AI agent?

A financial crime AI agent is an AI system that assists compliance teams in investigating AML (Anti-Money Laundering) alerts and financial crime cases. Unlike a transaction monitoring system (TMS) that generates alerts, a financial crime AI agent takes those alerts and assembles the full investigation context automatically — customer profile, transaction patterns, KYC documents, sanctions screening, adverse media — then drafts an investigation summary and, where applicable, a SAR (Suspicious Activity Report). The goal is to compress investigation time from 2–8 hours per alert to 15–30 minutes, allowing compliance teams to work through a much higher proportion of their alert queue. XPndAI builds custom financial crime AI agents — not a SaaS overlay — integrated with your existing TMS and core banking systems.

How does AML AI agent comply with PMLA and RBI requirements in India?

India's PMLA 2002 (as amended in 2023) requires: maintaining STR/CTR records, submitting to FIU-IND within prescribed timelines, maintaining KYC records for 5+ years, and conducting risk-based customer due diligence. XPndAI's AML agent is built to support all of these: FIU-IND STR and CTR forms pre-filled from investigation data; investigation records maintained with tamper-evident logs; case outcomes documented for RBI inspection. The agent does not replace the compliance officer's judgment — analysts review and approve every AI-generated investigation summary and every SAR before submission. The AI compresses the research and drafting work; the compliance professional owns the final decision and submission.

Does AML AI connect to goAML in the UAE?

Yes. XPndAI builds direct integration with CBUAE's goAML platform for UAE financial institutions. The agent pre-populates the goAML STR (Suspicious Transaction Report) form fields from the investigation data: customer information, transaction details, suspicious activity description, and filing institution details. A compliance officer reviews and approves the pre-filled report before submission. The goAML submission reference number is captured and stored in the investigation audit trail. For UAE banks and exchange houses, this eliminates the manual goAML data entry step — which typically takes 30–90 minutes per STR.

Can the AI agent work with our existing transaction monitoring system?

Yes. XPndAI's financial crime AI agent is designed to supplement your existing TMS (NICE Actimize, Oracle FCCM, Temenos FCM, or custom), not replace it. The agent connects to your TMS via API to receive alert feeds and push investigation outcomes back. Your TMS continues to generate alerts using your existing rules and models. The AI agent takes each alert and does the investigation work — profile assembly, pattern analysis, sanctions screening, summary drafting — which currently takes your analysts 2–8 hours each. The TMS replacement decision is separate and is a 12–24 month project for most banks; XPndAI accelerates your current TMS investment.

Build Your Financial Crime AI Agent — Discovery Call

Book a 45-minute call with our FinTech AI team. We assess your TMS environment, alert volume, and compliance obligations — then give you a fixed-price proposal.

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