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FINTECH PRODUCTS

Technology
Tools

Shared platforms for banking application development, intelligent decisions and migration testing.

Develop consistently.
Decide and test with confidence.

Bring reusable engineering capabilities into your banking technology environment. Our platforms support multi-cloud development, event-driven decisions and automated transaction replay testing.

AI-POWERED APPLICATION MODERNIZATION

Modernize applications with AI.

Intelligent Code Conversion Platform

Use AI to convert enterprise COBOL and RPG applications to Java, supported by automated testing and generated documentation.

  • Support the complete export, import, conversion, verification and testing workflow.
  • Generate function specifications and design documentation alongside application code.
  • Combine code conversion with end-to-end testing to validate migrated applications.
Explore the migration solution

COBOL / RPG → JAVA

COBOL applicationsRPG applications
AI-assisted conversion

Application code + functional & design documentation

Java applicationsAutomated testing
  1. 01Export
  2. 02Import
  3. 03Convert
  4. 04Verify
  5. 05Test

AI-NATIVE QUALITY ENGINEERING

Intelligent Testing Platform

An AI-native quality engineering platform that connects requirements, test design, execution and reusable knowledge. Generative AI, RAG and knowledge graphs help teams reduce repetitive work and focus on quality decisions.

  • 13+ specialist AI skills
  • Self-healing execution
  • Full lifecycle coverage
  • Traceable knowledge graphs

One connected quality lifecycle.

Generative AI + RAG + knowledge graphs

  1. 01Understand requirements
  2. 02Generate test cases
  3. 03Review coverage
  4. 04Execute tests
  5. 05Analyze & self-heal
  6. 06Build knowledge

Reviewed project knowledge informs the next round of generation and review.

Generate test cases

Turn requirements into structured, business-aware test cases.

  • Import and merge requirements
  • Generate cases for each requirement
  • Ground generation in past cases
Explore capabilities
Multi-format import
Parse PDF, Word, Markdown and Excel through a unified requirements intake.
Large-document analysis
Split long documents into sections, process them in parallel and consolidate a structured requirements list.
Multi-document consolidation
Combine main requirements, change requests and interface documents while retaining key information.
Requirement-by-requirement generation
Generate titles, priorities, preconditions, steps and expected results for individual requirements.
RAG-enhanced generation
Retrieve historical cases and business context to make generated cases relevant to the application.
Outline expansion & export
Expand test outlines using rules, refine cases online and export to Excel.

Review test coverage

Check cases against requirements, with people in the approval loop.

  • Link requirements and cases by ID
  • Find gaps and missing scenarios
  • Route findings for human approval
Explore capabilities
Two-way traceability
Link requirements and test cases using their identifiers rather than keyword matching alone.
RAG gap analysis
Retrieve related cases for each requirement and assess the extent of test coverage.
Multi-step reasoning
Evaluate scenarios, compare coverage and identify gaps through a coordinated review process.
Coverage grading
Classify coverage as high, medium or low and trace each conclusion to its original requirement.
Missing scenario identification
Suggest uncovered exception and boundary scenarios, including locking, concurrency and timeouts.
Human approval workflow
Support review submission, individual approval, batch submission and resubmission.

Execute & self-heal

Generate and run API and UI tests, then investigate failures.

  • Build API and browser test scripts
  • Generate boundary and test data
  • Analyze failures and repair scripts
Explore capabilities
API contract import
Import OpenAPI definitions or cURL requests and use AI to populate interface schemas.
API & UI script generation
Generate API scripts from contracts and cases. Explore real UI pages to identify locators for browser tests.
Script updates
Compare scripts against contract changes, apply natural-language changes and confirm diffs before activation.
AI test data
Generate equivalence-class and boundary-value data, with dynamic unique values for test runs.
Failure analysis & self-healing
Use requests, responses and execution snapshots to identify causes and make local script repairs.
Coordinated execution
Use two execution engines with shared sessions and parameters; consolidate reports, export PDFs and share report links.

Build trusted knowledge

Connect requirements, cases and systems in a reusable GraphRAG foundation.

  • Combine vector and graph retrieval
  • Trace answers to source evidence
  • Reuse reviewed project knowledge
Explore capabilities
Multi-source knowledge ingestion
Ingest requirements, design documents and test cases for both vector and graph-based retrieval.
Knowledge graph construction
Use LLMs to extract entities and relationships into Neo4j, connecting requirements, cases and systems.
Source grounding
Keep original source references with knowledge items so supporting evidence can be inspected.
GraphRAG Q&A
Combine vector retrieval with graph expansion, return citations and let users inspect retrieved passages.
Enterprise knowledge layers
Organize knowledge by customer, system and project, and retrieve both system baselines and customer-specific cases.
Reviewed relationship discovery
Suggest relationships using similarity analysis; store them as organizational knowledge after human confirmation.

A shared AI foundation.

Specialist skills, model orchestration and connected knowledge.

  • LLMs
  • RAG + GraphRAG
  • AI skills & agents
Explore the AI foundation

Unified AI gateway

Separate business workflows from model orchestration through a common service gateway.

13+ specialist skills

Use focused AI skills with standardized JSON input and output contracts.

Vector + graph retrieval

Combine vector search and Neo4j for RAG and GraphRAG on one knowledge foundation.

Flexible model selection

Switch between GLM, DeepSeek and locally deployed models.

Real browser exploration

Use Playwright MCP to inspect actual pages and derive locators from the UI.

Built-in security

Store credentials separately, redact execution snapshots and isolate tenant data.

Faster test design

Reduce repetitive case authoring and review work.

Visible coverage

Trace requirement coverage and identify missing scenarios.

Less script maintenance

Use failure analysis and local repairs to support test upkeep.

Reusable experience

Turn reviewed project knowledge into an organizational asset.

DEVELOPMENT PLATFORM

A common foundation for banking applications.

Cloud Internal Developer Platform

Standardize application development and operations with shared components and an infrastructure adaptation layer for multi-cloud environments.

  • Shared application frameworks, microservices and reusable technical components.
  • Development standards, service governance, data governance and continuous integration.
  • Operational monitoring, configuration management, tracing and deployment support.
Explore the cloud migration solution

CLOUD INTERNAL DEVELOPER PLATFORM

Banking applications
Shared application frameworks

Microservices · Application components · Batch processing

DevOpsService governanceData governance

Infrastructure adaptation

Cloud platformsVirtual machinesBare metal

INTELLIGENT DECISIONS

Decision Engine

Turn business events and cloud-based data into coordinated decisions with expert rules, decision models and scorecards, supporting transactions, credit, risk control, products and marketing in a connected feedback loop.

  • Transactions
  • Credit
  • Risk control
  • Products
  • Marketing
Event-driven decisions. Connected data. Continuous feedback.

Event inputs

Business events
User behavior
Batch events
Standard event interface

Decision requests

Decision EngineEvent-driven orchestration
Expert rules
Decision models
Scorecards
Risk decisionsEvent policiesMarketing decisions
Data retrieval
Customer data modelsLogical variablesModel scores
Banking databases
Third-party data

Decision outputs

Real-time advice
Decision feedback
Task processing
Batch files
Close the decision loopDecision results → Customer profile updates → Recalculated metrics → Next decision

Coverage across banking scenarios

  • Configure event tracking and decision strategies for transactions, credit, risk, products and marketing.

Real-time, in-process decisions

  • Support risk intervention and marketing actions while business processes are running.

Unified decisions & approvals

  • Manage data-driven decisions across credit access, limit allocation, approvals, loan management, collections and marketing.

Large-scale data management

  • Connect distributed data storage and big data platforms to process data for real-time decisions.

Feedback that improves the next decision

  • Feed decision results back into customer profiles and recalculate data metrics to inform subsequent decisions.

AUTOMATED TESTING

Validate change against real business traffic.

Transaction Replay Auto-test Platform

Record production transactions or logs, generate reusable test cases and replay them in a designated test environment to compare application behavior.

  • Compare messages, database results and output files.
  • Support old-to-new application validation and production version transitions.
  • Low-intrusion recording without embedded application code.
  • Distributed deployment and horizontal scaling for high-volume banking environments.

TRANSACTION REPLAY & COMPARISON

Production environmentOriginal application · Real business traffic
Test environmentComparison application · Controlled validation
  1. 01Record transactions
  2. 02Generate case library
  3. 03Replay traffic
  4. 04Mock services
  5. 05Compare results
Message comparisonDatabase comparisonFile comparison

LET’S DISCUSS YOUR NEXT STEP

Strengthen your engineering foundation.

Connect with us about development platforms, decision services and migration testing.

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