BANKING & FINANCE

Modernizing Core Banking Ecosystems with AI-Ready Operating Models

Phased modernization | Federated data architectures | Agentic workflow orchestration
BANKING & FINANCE

Modernizing Core Banking Ecosystems with AI-Ready Operating Models

Phased modernization | Federated data architectures | Agentic workflow orchestration

Engineering Core Banking Systems for Legacy transitions, Omnichannel delivery, Fraud Prevention, and Compliance

KR Elixir has delivered technology transformation for some of the world’s most demanding banking and financial institutions-including Synovus, Equifax’s USIS and EWS divisions, and multiple banking and lending platforms across the US, Brazil, and the UK. Our banking practice spans the full transformation spectrum: core system migration, data platform modernization, digital channel enablement, fraud detection, regulatory compliance, and AI-powered operational automation.

Banking Transformation Highlights:

19+

Years in Financial Services
Deep financial services delivery since 2006-FINRA, HIPAA, SOC 2, and banking regulatory compliance built into every engagement.

$300MM+

Largest Banking Programme
Equifax USIS mainframe-to-GCP initiative-$300MM+ transformation, $60MM+ delivered, zero customer incidents on every major launch.

Sub-second

API Response Times
Post-migration B2B API performance on Equifax GCP Data Fabric-impossible on the legacy mainframe architecture it replaced.

99.99%

Data Accuracy Certified
BVS banking data migration: 100% business rule certification across all data layers, 99.99% match vs. legacy source.

Banking Challenges we Address

What We Deliver

  • Legacy Mainframe & AS400 Replatforming: Risk-stratified blueprints designed to transition aging COBOL compliance modules and core AS400 systems to high-availability cloud setups.
  • End-to-End Core Banking Divestitures: Structured operational splits, including multi-country ERP separations and global billing ledger decoupling across distinct borders.
  • Proprietary Mirror Validation Engine: Continuous, bi-directional data comparison and dual-environment testing to verify absolute ledger parity before hardware decommissioning.
  • Demand-Aligned FinOps Architecture: Automated resource scheduling and cloud budget guardrails tailored specifically for transparent corporate cost centers.

Outcomes You Achieve

  • 30-40% Infrastructure Cost Reduction: Post-migration OpEx savings realized through managed FinOps frameworks and cloud-native optimizations.
  • 100% Ledger Parity: Zero data variance across environments, keeping sales ledgers, credit reports, and account balances perfectly matched.
  • Zero-Incident Cutovers: Operational migrations executed safely within ring-fenced maintenance windows with active rollback routing.

What We Deliver

  • Compliance-Engineered Landing Zones: Public cloud environments natively built with automated FINRA, SOC 2, and PCI-DSS safeguards.
  • Secure Hybrid Estate Architecture: ExpressRoute and containerized configurations (AKS/GKE) maintaining low-latency connectivity to on-premises mainframes.
  • Database Modernization & Scale: Cloud-native transactional database services (Cloud Spanner, Azure SQL) tuned for heavy transactional throughput.
  • Financial Services FinOps: Post-migration spend management aligning cloud infrastructure costs directly with real-time transaction volumes.

Outcomes You Achieve

  • 60% Faster Onboarding: Landing zones deployed via Infrastructure-as-Code (IaC) with pre-configured regulatory guardrails.
  • Continuous Transactional Scale: Multi-region active-active database fabrics maintaining strict ACID compliance under peak workloads.
  • Zero Idle Resource Waste: Automated FinOps profiling that dynamically scales down non-production environments off-hours.

What We Deliver

  • Silo-Free Data Warehousing: Consolidating data from core systems, clearinghouses, card networks, and CRMs into a singular plane (BigQuery, Snowflake).
  • High-Volume Enterprise Data Fabrics: Continuous streaming pipelines managing real-time transformations and custom purposing views.
  • Real-Time Change Data Capture (CDC): Log-based CDC pipelines from legacy Oracle and DB2 environments to eliminate batch latencies.
  • Unified Customer 360 Ecosystem: Integrated, reliable data layers driving predictive cross-sell engines and continuous credit risk modeling.
  • Automated Regulatory Reporting Pipelines: Structured, automated pipelines to replace manual data compilation and accelerate compliance submissions.

Outcomes You Achieve

  • Sub-Minute Data Freshness: Log-based CDC pipelines replacing 24-hour batch processing with near-real-time ledger replication.
  • Drift-Proof Ingestion: Automated schema-parsing layers that intercept upstream database alterations before pipelines break.
  • 100% Lineage Provenance: Complete data transformation mapping from legacy system-of-record to final regulatory report.

What We Deliver

  • Streaming Event Ingestion Pipelines: High-throughput data infrastructure (Kafka, Databricks) built to surface fraud signals within milliseconds of an event.
  • Graph-Based Entity Resolution: Advanced database layouts (Spanner Graph) to map hidden relationship networks across billions of data points in real time.
  • Explainable Risk Modeling: Machine learning models for anomaly scoring utilizing clear, auditable logic parameters to satisfy regulators.
  • Investigative Agent Workflow Support: Ambient tools that auto-assemble scattered transaction histories into case summaries prior to analyst review.

Outcomes You Achieve

  • Sub-100ms Interception: In-flight fraud signal scoring executed concurrently with live transaction authorization requests.
  • Instant Link Isolation: Real-time graph queries that expose nested entity networks across disparate portfolios within seconds.
  • Audit-Compliant Explainability: Elimination of “black-box” models via weighted feature outputs for rapid regulatory review.

What We Deliver

  • Multi-Agent Extraction Pipelines: Orchestrated AI engines built to extract structured fields from business licenses, tax forms, and financial sheets.
  • Deterministic PII Masking: Automated, context-aware redaction of protected personal and corporate info directly within the ingestion flow.
  • Confidence-Bounded Human-in-the-Loop: Algorithmic routing sending complex or low-confidence extractions to compliance experts for manual sign-off.
  • Straight-Through Core Ingestion: Direct integration converting raw inbound identity documentation into discrete fields within core banking engines.

Outcomes You Achieve

  • 80-90% Straight-Through Ingestion: Automated processing of routine corporate documentation, isolating only low-confidence text for human review.
  • Zero-Exposure Ingestion: Programmatic redaction of sensitive identifiers within memory buffers before data is committed to disk.
  • 95%+ Field Accuracy: Contextual validation engines that cross-reference extracted text against live national registries.

What We Deliver

  • PCI-Compliant Gateway Integration: Secure implementation and tokenization design for Google Pay, Apple Pay, and global payment networks.
  • Quote-to-Cash & Billing Optimization: Enterprise Oracle BRM/ECE implementation and pre-bill validation to streamline revenue recognition.
  • Automated Reconciliation Engines: Automated invoice matching, multi-currency settlement tracking, and cross-border exception flagging.
  • Predefined Portfolio Migration Playbooks: Turnkey data migration strategies optimized to rapidly transition payment portfolios with zero account disruption.

Outcomes You Achieve

  • Zero-Lockout Portfolio Shifts: Script-driven validation playbooks migrating millions of card accounts with zero downtime.
  • Algorithmic Ledger Matching: End-to-end matching of ledger lines against clearinghouse files, cutting manual tracking to zero.
  • Leakage Prevention: In-line validation engines running cross-verification routines to catch systemic billing leaks in real time.

What We Deliver

  • Zero-Downtime CRM Modernization: Seamless implementation, migration, and validation of Salesforce Financial Services Cloud and Service Cloud platforms.
  • Omni-Channel Omni-Agent Ingestion: Unified customer service infrastructure integrating Einstein AI, chat, SMS, and voice channels into a single, real-time routing plane.
  • In-Chat Action Automation: Embedding appointment scheduling, case logging, and secure document routing directly inside active customer chat feeds.
  • Federated Single View of Customer: Integrating downstream core banking, fraud, and compliance data into a singular, front-line agent layout.

Outcomes You Achieve

  • Uninterrupted Desk Continuity: Parallel data tenant migrations that prevent agent lockout or live interaction record loss.
  • Reduced MTTR: Core balances, fraud statuses, and open loan indicators unified into a single agent layout.
  • Elimination of Screen Toggling: Secure APIs that write in-chat data entries back to underlying banking engines instantly.

What We Deliver

  • Audit-Ready Architecture from Day One: Embedding compliance baselines directly within infrastructure builds rather than retrofitting controls later.
  • Structured SIEM & JSON Audit Logging: Immutable cloud audit logs with full event traceability across every environment and data access point.
  • Continuous Compliance Posture Assessment: Real-time monitoring loops that automatically flag non-compliant profiles, data access anomalies, or system drift.
  • Automated Regulatory Evidence Generation: Continuous compilation of audit-ready proof documentation, eliminating retroactive scrambles during reviews.

Outcomes You Achieve

  • Compliance Readiness: Automated monitoring loops that instantly self-remediate unauthorized system configuration drift.
  • Minutes-to-Audit Tracing: Structurally immutable log management architectures that accelerate historical forensic tracing.
  • Zero Retroactive Sprints: Automated pipelines that systematically package testing data, reducing team overhead during cyclical examinations.

Success Stories

Mainframe Decommission

Challenge

Migrating revenue-generating systems built on COBOL, JCL, and batch processing, containing 3,000+ use cases and 40,000+ data points requiring validation under strict regulatory compliance (FCRA) with zero customer impact.

Approach

  • Migration to GCP-based architecture using Java microservices, GKE/Kubernetes, Istio, Pub/Sub, Dataflow, BigQuery, and Cloud Firestore.
  • Structured 7-phase migration: reverse engineering, API layer implementation, business rules reconstruction, equivalence testing, phased production, and decommission.
  • Continuous mirror validation for bi-directional data comparison between mainframe and cloud systems prior to production release.
  • Parallel run strategy with staged cutover to maintain behavioural consistency across systems.
  • Multi-year programme delivery within a broader vendor ecosystem under central governance.

Outcomes

  • Full decommissioning of mainframe estate and replacement with cloud-native services.
  • Zero customer-impacting incidents across all major production releases.
  • Verified data equivalence across 3,000+ use cases prior to cutover.
  • Sub-second API response times, enabling near real-time access patterns.
  • Sustained regulatory compliance maintained throughout transition.

Cloud & Data Transformation

Challenge

Legacy mainframe systems limiting change, combined with batch data pipelines introducing latency in fraud detection and reporting. Regulatory requirements (FINRA, SOC 2) required compliant architecture from the outset.

Approach

  • Implementing an Azure Landing Zone with built-in regulatory controls: identity, encryption, network segmentation, and auditability.
  • Hybrid architecture using ExpressRoute to maintain secure, low-latency connectivity between on-premise and cloud systems.
  • Streaming data platform using Event Hubs, Databricks, and Synapse to replace batch-dependent processing.
  • Log-based change data capture from Oracle systems to enable near real-time replication with minimal disruption.
  • Phased transformation across assessment, design, migration, stabilization, and optimisation stages.

Outcomes

  • Cloud foundation operational with regulatory controls in place from initial deployment.
  • Reduction of data latency from hours to near real time for fraud and operational signals.
  • Continuous connectivity between legacy and cloud systems maintained throughout migration.
  • Multiple transformation workstreams progressed in parallel without interrupting core operations.
  • Structured transition path supporting incremental adoption rather than full system replacement.

AI-led Customer Onboarding & KYC Automation

Challenge

Manual onboarding process spanning 52 steps across KYC/AML, document handling, compliance checks, risk assessment, CRM setup, and billing. High drop-off rates (12%) and limited visibility across internal teams.

Approach

  • Orchestrated multi-step onboarding flow coordinating document processing, compliance validation, risk assessment, and system setup.
  • Document intelligence for automated extraction from financial and regulatory documents using NLP.
  • Integrated compliance engine for real-time KYC/AML screening against external data sources.
  • AI-based risk analysis incorporating third-party data for credit decisioning.
  • Automated configuration of downstream systems including CRM, billing, and onboarding workflows.

Outcomes

  • Reduction in onboarding time from 12 weeks to 6 weeks.
  • Process simplification from 52 steps to 12, reducing manual effort.
  • Decrease in customer drop-off from 12% to 4%.
  • Improved visibility across onboarding stages for both internal teams and customers.
  • Combined financial impact from accelerated revenue and reduced operational overhead.

Success Stories

Mainframe Decommission

Challenge

Migrating revenue-generating systems built on COBOL, JCL, and batch processing, containing 3,000+ use cases and 40,000+ data points requiring validation under strict regulatory compliance (FCRA) with zero customer impact.

Approach

  • Migration to GCP-based architecture using Java microservices, GKE/Kubernetes, Istio, Pub/Sub, Dataflow, BigQuery, and Cloud Firestore
  • Structured 7-phase migration: reverse engineering, API layer implementation, business rules reconstruction, equivalence testing, phased production, and decommission
  • Continuous mirror validation for bi-directional data comparison between mainframe and cloud systems prior to production release
  • Parallel run strategy with staged cutover to maintain behavioural consistency across systems
  • Multi-year programme delivery within a broader vendor ecosystem under central governance

Outcomes

  • Full decommissioning of mainframe estate and replacement with cloud-native services
  • Zero customer-impacting incidents across all major production releases
  • Verified data equivalence across 3,000+ use cases prior to cutover
  • Sub-second API response times, enabling near real-time access patterns
  • Sustained regulatory compliance maintained throughout transition

Cloud & Data Transformation

Challenge

Legacy mainframe systems limiting change, combined with batch data pipelines introducing latency in fraud detection and reporting. Regulatory requirements (FINRA, SOC 2) required compliant architecture from the outset.

Approach

  • Implementing an Azure Landing Zone with built-in regulatory controls: identity, encryption, network segmentation, and auditability
  • Hybrid architecture using ExpressRoute to maintain secure, low-latency connectivity between on-premise and cloud systems
  • Streaming data platform using Event Hubs, Databricks, and Synapse to replace batch-dependent processing
  • Log-based change data capture from Oracle systems to enable near real-time replication with minimal disruption
  • Phased transformation across assessment, design, migration, stabilization, and optimisation stages

Outcomes

  • Cloud foundation operational with regulatory controls in place from initial deployment
  • Reduction of data latency from hours to near real time for fraud and operational signals
  • Continuous connectivity between legacy and cloud systems maintained throughout migration
  • Multiple transformation workstreams progressed in parallel without interrupting core operations
  • Structured transition path supporting incremental adoption rather than full system replacement

AI-led Customer Onboarding & KYC Automation

Challenge

Manual onboarding process spanning 52 steps across KYC/AML, document handling, compliance checks, risk assessment, CRM setup, and billing. High drop-off rates (12%) and limited visibility across internal teams.

Approach

  • Orchestrated multi-step onboarding flow coordinating document processing, compliance validation, risk assessment, and system setup
  • Document intelligence for automated extraction from financial and regulatory documents using NLP
  • Integrated compliance engine for real-time KYC/AML screening against external data sources
  • AI-based risk analysis incorporating third-party data for credit decisioning
  • Automated configuration of downstream systems including CRM, billing, and onboarding workflows

Outcomes

  • Reduction in onboarding time from 12 weeks to 6 weeks
  • Process simplification from 52 steps to 12, reducing manual effort
  • Decrease in customer drop-off from 12% to 4%
  • Improved visibility across onboarding stages for both internal teams and customers
  • Combined financial impact from accelerated revenue and reduced operational overhead