Everyone’s Revving the Engine. Few Have Built the Road.
75% of banks aren’t infrastructure-ready for AI in banking. The question boardrooms should be asking isn’t 'should we?' anymore - it’s 'can we, technically?'
Banking Challenges We Address
Six capabilities that orchestrate banking transformations
We have delivered transformations for some of the world's most demanding financial institutions - building the technology foundations for core banking to operate and compete at market speed.
Onboard
Automated Customer Onboarding & KYC
Digital customer and account onboarding across retail and commercial banking
Automated document extraction, identity verification, and KYC workflows
Integration with AML, sanctions, PEP, and watchlist screening services
Risk-based verification for customer and account origination
Human-in-the-loop workflows for exceptions, escalations, and enhanced due diligence
Digital OnboardingKYC AutomationRisk VerificationException Management
Data
Banking Data & Real-Time Analytics
Modern data platforms integrating core banking, payments, CRM, risk, and digital channels
Real-time data pipelines for transactions, payments, reconciliation, and operational monitoring
Unified customer and account data across core and digital banking systems
Data quality, lineage, governance, and controls for regulated banking environments
Analytics and governed data foundations for risk, customer, and operational use cases
Data ModernizationReal-Time DataCustomer AnalyticsData Governance
Protect
Fraud Detection & Risk Decisioning
Real-time fraud detection across payments, cards, accounts, and digital channels
Behavioral analytics and anomaly detection for emerging fraud patterns
Automated transaction screening, holds, and step-up authentication workflows
AI-assisted fraud investigation, case triage, and analyst workflows
Continuous monitoring of fraud models and decisioning performance
AI agents for customer service, operations, fraud investigation, reconciliation, and compliance workflows
Multi-agent orchestration across banking processes, enterprise applications, APIs, and data
Governed agent access to banking systems, data, and business services
Automated investigation, reconciliation, case management, and exception-handling workflows
Human oversight, permissions, auditability, and monitoring for agentic workflows
Agentic OrchestrationIntelligent WorkflowsBanking AutomationGoverned AI
Proof, Not Promises
Transformation highlights from our banking engagements
1 / 3
Credit Bureau
Decommissioning a Mainframe With 3,000+ Regulated Use Cases
Revenue-generating systems built on COBOL, JCL, and batch processing carried 3,000+ use cases and 40,000+ data points requiring validation under strict FCRA compliance, with zero tolerance for customer impact. We ran a structured 7-phase migration - reverse engineering, API layer implementation, business rules reconstruction, equivalence testing, phased production, and decommission - onto GCP with Java microservices, GKE, and BigQuery, validating every wave with continuous mirror comparison before cutover.
Full mainframe estate decommissioned and replaced with cloud-native services
Zero customer-impacting incidents across every major release
Data equivalence verified across all 3,000+ use cases prior to cutover
Originally delivered for a major credit bureau - the same pattern applies to any regulated institution retiring mainframe logic under FCRA-level scrutiny.
Regional Bank
Cutting Fraud-Signal Latency From Hours to Near Real Time
Legacy mainframe systems limited the pace of change, and batch data pipelines were introducing latency into fraud detection and reporting, all under FINRA and SOC 2 requirements demanding compliant architecture from the outset. We built an Azure Landing Zone with regulatory controls native to the build - identity, encryption, network segmentation, audit - bridged to on-premise systems via ExpressRoute, and replaced batch processing with a streaming platform using Event Hubs, Databricks, and log-based CDC from Oracle.
Cloud foundation operational with regulatory controls live from day one
Fraud and operational signal latency cut from hours to near real time
Multiple transformation workstreams progressed in parallel, no core disruption
Originally delivered for a regional bank - the same pattern applies to any institution replacing batch-dependent fraud and reporting pipelines under regulatory constraint.
Banking & Lending
Cutting Onboarding From 52 Steps and 12 Weeks to 12 Steps and 6
A manual onboarding process spanning 52 steps across KYC/AML, document handling, compliance checks, risk assessment, CRM setup, and billing was driving a 12% customer drop-off rate with limited visibility across internal teams. We orchestrated a multi-step onboarding flow combining document intelligence for automated extraction, an integrated compliance engine for real-time KYC/AML screening, AI-based risk analysis for credit decisioning, and automated configuration of every downstream system.
Onboarding time cut from 12 weeks to 6
Process simplified from 52 steps to 12
Customer drop-off reduced from 12% to 4%
Originally delivered for a banking and lending platform - the same pattern applies to any institution automating KYC/AML-heavy onboarding at volume.
