Accelerators

Empowering smarter as well as faster code reviews, AI Automation and Code Migration tools
Autonomous Code Review Agent

Business Challenges

Analyzing enterprise repositories at scale against security, quality, and architectural standards is difficult to manage manually, leading to gaps in consistency, visibility, and early risk detection across teams and platforms.

Key Issues

  • Code quality varies by team
  • Security risks detected late
  • Manual reviews do not scale
  • No single quality view across repositories

Key Benefits

  • Automated, standards based code reviews
  • Security, quality, and architecture analysis in one pass
  • Consistent standards across all teams and repositories
  • Architecture design patterns with code examples
  • Self-learning agents for continuous skill improvements
  • Executive visibility through visual dashboards
  • Actionable outcomes and measurable improvement over time
  • Reduced security exposure (OWASP/CWE mapped)
  • Faster release cycles and lower technical debt
Agentic AI Automation Framework

Business Challenges

Endtoend test automation across UI, API, Mobile and workflows requires significant manual effort to design, maintain, and scale, resulting in slower testing cycles, higher QA costs, and reduced automation velocity. 

Key Issues 

  • Manual effort in requirements extraction and test planning
  • Time‑consuming test script development and maintenance
  • High dependency on manual QA activities
  • Frequent test failures requiring rework and fixes
  • Limited automation scalability without AI assistance

Key Benefits

  • Automated requirements extraction and analysis
  • Automated test plans and scenario generation
  • Faster test script development with improved maintenance and stability
  • Automated bug creation and updates
  • Improved team productivity
  • Reduced automation script development cost (20–30%)
  • Reduced test maintenance effort (35–40%)
  • Reduced manual QA effort (25–35%)
  • Overall QA and automation cost reduction (25–35%)
Code Migration Tool (CMT)

Business Challenges

Code migration poses challenges such as compatibility issues between legacy and new systems, often leading to unexpected bugs or performance degradation. 

Key Issues

  • High Cost
  • Demands significant Time
  • Resources for Testing, Validation and retraining the teams
  • significant risks when migrating codebase in different programming languages and frameworks suited Architecture based on selected product

Key Benefits

  • AI-Power Code Translations
  • Dedicated Dependency Analyzer
  • Test-Driven Validation
  • Comprehensive Documentation Output
  • Native Code Migration Support
  • Seamless Docker Integration
  • Productivity Gain (60%) compared to traditional method