Modernizing Legacy Integration Platform with AI-Powered Efficiency

A leading global manufacturer is a trusted industry leader committed to building a better future. The company’s broad product portfolio provides innovative solutions that leverage science, design, and sustainability to support evolving industry needs.

As a forward-looking enterprise organization, the company embarked on a critical journey to modernize its enterprise integrations—transitioning from a legacy, on-premises TIBCO platform to a scalable, cloud-native MuleSoft architecture. The project aimed to reduce infrastructure overhead, improve operational agility, and bring modern engineering practices into its integration strategy.

Challenges

With over 200 B2B partners and multiple application-to-application interfaces running on TIBCO, the migration scale was significant. The organization needed to:

  • Move to cloud-based architecture with lower maintenance costs.
  • Modernize integration patterns (from tightly coupled, XML-based services to modern, reusable APIs).
  • Upskill internal teams with limited MuleSoft experience.
  • Meet aggressive project timelines and delivery milestones.

The Solution

The organization leveraged CurieTech AI to bring automation, speed, and reusability into the migration process. CurieTech AI Migration Agents quickly demonstrated value by reducing manual effort through intelligent code generation and architectural recommendations.

  • AI-powered migration of legacy TIBCO integrations to MuleSoft.
  • Automated code conversion, including architectural modernization from unlayered XML services to multi-layered, API-driven MuleSoft services.
  • A reusable framework for faster onboarding of new partners and endpoints.
  • Built-in adaptability to support different data formats and system architectures (e.g., XML to JSON).

Benefits and Outcomes

After integrating CurieTech AI into the project, the organization saw:

  • 50% reduction in migration effort per integration.
  • Faster turnaround for new partner interfaces.
  • Lower project risk through AI-driven consistency, automation, and error reduction.
  • Improved reusability and scalability of APIs post-migration.‍
  • Seamless collaboration between internal engineering teams using CurieTech AI.
  • Active enablement of the organization’s internal technology team with MuleSoft development standards.
  • Enhanced code quality aligned with organizational best practices.

Customer Perspective

“We’re not just lifting and shifting code—we’re modernizing it. With CurieTech AI, we’ve built a framework that can adapt quickly to future systems and scale with us.”

— Project Lead
March 16, 2026