Modernizing legacy systems is a challenging and risky endeavor, often plagued by incomplete functionality, schedule delays, and cost overruns. Traditional methods, including code conversion toolsets, fall short by merely shifting outdated structures onto newer platforms without addressing underlying complexities.

LegacyLift utilizes an integrated multi-agent AI system that autonomously analyzes and understands the intricate intent of legacy systems. This innovative approach allows analysts and engineers to design modern solutions that retain the core intent of the original system, ensuring a smooth transition.

The AI-driven platform can document complex, decades-old code, making the system's knowledge accessible to current and future team members, regardless of their technical expertise. This continuous learning and analysis capability extends beyond the initial implementation, providing ongoing insights into the modernized system after launch.

By harnessing AI on Amazon Bedrock to perform exhaustive analysis quickly and accurately, LegacyLift minimizes the risks associated with legacy system modernization and provides significant benefits, including time savings and cost reduction.

Key Features of LegacyLift:

• Leverages large language models, AI-enhanced search, and multi-agent AI models
• Performs autonomous analysis and requirements discovery from the bottom up
• Accelerates the modernization process, while minimizing risk and reducing cost
• Documents complex project requirements for easy access and future reference
• Provides continuous insights beyond initial implementation

Contact us today for a demo: hello@captechconsulting.com