MDH delivers secure, compliant AWS infrastructure, Amazon Connect for modern banking CX, and Generative AI automation that eliminates manual processing overhead — all built to meet the security and regulatory standards of the financial services industry.
Thousands of analyst hours spent manually reviewing loan applications, KYC documents, and compliance filings — driving high error rates and compliance risk.
PCI-DSS, SOX, and FINRA requirements demanding constant audit readiness, data residency controls, and evidence-based compliance reporting across all systems.
Legacy contact center infrastructure delivering subpar banking CX — long queues, no AI self-service, and poor CRM integration causing escalation and churn.
Batch-based risk models that can't detect fraud in real time — and legacy data infrastructure that prevents modern ML model deployment at production scale.
Core banking, insurance policy, and investment management systems that can't integrate with modern cloud services — blocking digital transformation initiatives.
Over-provisioned on-premise infrastructure with unpredictable costs, no elasticity for seasonal demand, and IT teams spending 60%+ of time on maintenance.
AWS Bedrock-powered document automation that ingests loan applications, KYC packets, and compliance filings — extracting structured data, classifying risk, and routing exceptions with <0.5% error rates. Deployed with financial-grade audit trails and data lineage.
Replace legacy contact center infrastructure with Amazon Connect — delivering AI-powered IVR, biometric authentication, real-time fraud escalation flows, and deep integration with core banking and CRM systems. Built with PCI-DSS compliant call recording and data handling.
PCI-DSS Level 1 compliant AWS architecture with network segmentation, Macie data classification, Shield Advanced DDoS protection, and automated Config compliance rules. Full CloudTrail audit coverage for SOX evidence collection.
Streaming data platform on Kinesis and OpenSearch delivering real-time fraud signals, customer risk scoring, and portfolio analytics — enabling ML model deployment at sub-second latency for transaction monitoring.
Every financial services engagement begins with a compliance and architecture review — ensuring your cloud foundation is secure before we build anything on top of it.