PUBLISHED DATE: 2025-08-14 13:56:02
Artificial Intelligence: Unlock the Power of Generative AI to Accelerate Legacy Modernization
Offering Summary
Unleash the Opportunity
Our Approach
Feature Summary & Specifications
- Test cases
- Transformed architecture
- Unit tests
- Automation test scripts
Application Modernization with Gen-AI LLMs
We leverage Gen-AI large language models (LLMs) with human intervention, enabling our tools to analyze and convert prompts into impactful results.
Measurable Outcomes
This data is based on our analysis of over 100 end-to-end experiments using our Gen AI modernization accelerators in combination with PSChat, Bodhi, and GPT, utilizing internal organizational datasets, PS Insurance accelerators, and combined industry research and metrics. Actual results will vary based on client-specific context.
How We've Made an Impact
Global Fortune 500 Company
The Imperative for Change:
- Accelerate the modernization of legacy mainframe applications to enable greater agility and lower costs
The Transformative Solution:
- Designed a process for cloud developers to use private models/LLMs to deconstruct legacy programs
- Used proof of concept results to fine-tune the operationalization and iterative development in sprints
The Business Impact:
- 3x faster migration and reduced effort through AI
- Created functional specifications to improve traceability and quality
- Made code easier to maintain and enhance in a modern tech stack
What Sets Publicis Sapient Apart?
Why Publicis Sapient
Learn more at: publicissapient.com/partnerships/microsoft
Request a live demo
Application Modernization: Business Impact
- 3x faster migration and reduced effort through AI
- Created functional specifications to improve traceability and quality
- Made code easier to maintain and enhance in a modern tech stack
Global Fortune 500 Company
The Imperative for Change:
- Accelerate the modernization of legacy mainframe applications to enable greater agility and lower costs
The Transformative Solution:
- Designed a process for cloud developers to use private models/LLMs to deconstruct legacy programs
- Used proof of concept results to fine-tune the operationalization and iterative development in sprints