AI for BFSI - Audit-Ready, Outcome-Driven.
Fraud and AML, KYC summarisation, RM Copilots, regulatory reporting, customer onboarding – engineered for production under audit-ready governance.
35–50%
Case-handling time reduction
100%
Audit traceability
6.4 hr
Saved per RM per week
SOC 2
Aligned controls
The Problem We Solve in BFSI
BFSI lives or dies on trust, compliance, and unit economics. Generic AI vendors cannot deliver into that triangle. Our BFSI practice combines AI-native delivery with audit-grade governance – fraud, KYC, regulatory reporting, and customer service AI that legal and risk sign off on.
Where AI Moves the Needle
Hybrid rule + ML detection with explainable scoring; AI agents for case triage and investigator Copilots.
- Real-time scoring on payments and transactions.
- Explainable model output for case-level investigator review.
- Auto-summary of case context with citation back to source records.
Document-extraction, name-screening, and risk-rating workflows accelerated by Gen AI - with mandatory human checkpoints.
- Document classification and field extraction across passports, IDs, utility bills.
- PEP / sanctions / adverse-media screening integrated.
- Auto-generated case summary for analyst sign-off.
M365 + Copilot Studio Copilots that surface client portfolios, product fit, and meeting prep - saving hours per RM per week.
- Pre-meeting brief auto-generated from CRM, portfolio, and recent activity.
- Compliance-safe content generation with sensitivity-label awareness.
- Outreach drafting and follow-up automation.
Modernise risk and regulatory reporting estates - SAS, legacy ETL - onto Databricks or Snowflake with AI-led refactor.
- Workload-level migration plan with parity validation.
- Lineage and audit logging mandatory in target architecture.
- Reporting cycle compression - hours instead of overnight runs.
AI Driven Digitalisation
Core-banking adjacent platforms, payment systems, risk and regulatory reporting estates - modernised with AI-led teams.
Data Engineering + BI
Risk and exposure analytics, AML alerts, regulatory reporting, customer-360 - with audit-ready lineage.
Gen AI Services
KYC summarisation, fraud-investigator Copilots, policy & compliance Q&A, RM Copilots - every action audited.
Compliance & Governance
- SOC 2-aligned controls across delivery.
- RBI / SEBI / DPDP and GDPR data-residency support.
- Model-risk governance: model-card, approval, ongoing eval, kill-switch policy.
- Zero-retention configuration on every frontier model call.
- 100% audit trail on every AI action - citation, prompt, response, model, version.
Engagement Models
FAQ
Frequently Asked Questions
Will your AI pass our internal model-risk review?
Every model we deploy ships with a model card, evaluation history, and kill-switch policy. We have delivered into Tier-1 BFSI environments where model-risk teams sign off as part of go-live.
How do you handle data residency and regulator-specific requirements?
Engagements deploy entirely in your tenant and region. We support RBI / SEBI / DPDP, GDPR, and US state regulators where applicable. Data-handling appendix shared on first call.
Can you work alongside our incumbent core-banking and risk vendors?
Yes. We are platform-agnostic and frequently deliver inside programmes run with Temenos, Finacle, Murex, Calypso, SAS, and others. Our role is the AI-native delivery layer on top.
Ready to Move the Metric?
Book a 60-minute BFSI briefing. We will share three closest-fit case studies and put a 90-day pilot proposal – fraud, KYC, or RM-Copilot – on the table.