AI & Technology Solutions for Financial Services
Detect more fraud, satisfy more regulators, serve more customers — without ballooning the cost base.
Overview
Aadyora partners with banks, NBFCs, insurers, and fintechs to deploy AI and data systems that move metrics that matter: fraud losses prevented, applications approved per hour, compliance hours saved, customer support tickets deflected.
Our work covers fraud and AML systems, credit and underwriting models, KYC automation, customer-facing AI, and the regulator-grade data infrastructure that supports them.
We are fluent in RBI, SEBI, IRDAI, and DPDP requirements for India, and equivalent frameworks for cross-border deployments.
What we deliver
Fraud & AML Systems
Real-time transaction monitoring, network analysis for mule detection, ML-driven alert prioritization, and case management — measured by fraud losses prevented and analyst minutes saved.
KYC & Onboarding Automation
Document AI, liveness checks, AML screening orchestration, and risk-based onboarding workflows that meet RBI Video KYC norms.
Credit & Underwriting Models
Alternative-data credit scoring, early-warning systems for portfolio risk, and explainable model documentation for regulator review.
Customer-Facing AI
Multilingual conversational AI for support, sales, and collections — integrated with core banking and CRM, with full transcript audit logging.
Regulatory Reporting Automation
Data pipelines, validation, and reconciliation for RBI, SEBI, IRDAI, and DPDP reports — reducing month-end crunch and audit findings.
Outcomes you can expect
- Lower fraud losses with measurable alert precision improvements
- Faster onboarding without raising fraud rates
- Regulatory reports produced on schedule with documented lineage
- Customer service automated where it makes sense — escalated where it does not
How we engage
1. Risk & Use-Case Mapping
Workshop with risk, ops, and compliance to identify highest-value automation candidates and the regulatory constraints around each.
2. Model & Pipeline Build
Build on historical labelled data with rigorous train/test discipline. Document model assumptions for second-line and regulator review.
3. Controlled Rollout
Shadow-mode first, then phased exposure with human override. Monitor false-positive and false-negative rates against business cost.
4. Run & Recalibrate
Quarterly recalibration, drift monitoring, and documented change control aligned to your model risk policy.
Frequently asked questions
Do you understand RBI and SEBI compliance requirements?
Yes — we have built systems aligned to RBI master directions on outsourcing, IT governance, cyber security, fraud risk management, and Video KYC, plus SEBI guidelines for market intermediaries and IRDAI for insurers.
How do you handle model explainability for regulators?
SHAP / LIME explanations on predictions, model cards documenting assumptions and limitations, performance monitoring by segment, and full lineage from training data to deployed version.
Can you deploy in our on-premise or private cloud?
Yes — many of our financial customers require on-premise or private cloud deployment. We routinely build in air-gapped or sovereign cloud environments.
Continue exploring
Ready to start?
Tell us about your problem — we’ll respond within one business day with a concrete next step.
Contact Aadyora