A leader in financial automation software dedicated to automating the future of finance so businesses can thrive. Business trusts them to manage financial workflows, including payables, receivables, and spend and expense management.

Challenges

As the company scaled its MuleSoft-based integration workflows, several key challenges emerged:

• Manual and Inefficient Development
  Developers spent significant time building and replicating integration logic manually, without automation to support common patterns.‍
• Poor Documentation Practices
  Although the team produced robust code, documenting workflows was often overlooked. This led to onboarding delays and gaps in knowledge.‍
• Testing Bottlenecks
  Unit tests and test data were inconsistently written, slowing down development and lowering confidence in code readiness.

The team sought to streamline development, improve maintainability, and enable faster delivery with modern AI tools.

Why CurieTech AI?

With nearly 70 APIs managed by just three developers, they needed a way to extend productivity without increasing headcount. These APIs power critical integrations across applications such as Salesforce, NetSuite, Workday, data warehouses, data lakes, and more.

CurieTech AI stood out for several reasons:

• Accelerated Onboarding
  CurieTech AI quickly translated complex specs into reusable code and generated supporting documentation—cutting onboarding time and reducing reliance on tribal knowledge. ‍
• DataWeave Support
  Not all developers are fluent in DataWeave. The DataWeave agent accurately generated quality transformation logic from simple prompts, reducing errors and saving hours. ‍
• Cleaner, Faster Code
  CurieTech AI creates MuleSoft flows with simple prompts to ensure consistency and reduce errors. Plus, Code Repo Lens helps developers quickly review integrations for accuracy and best practices. ‍
• Less Time on Repetitive Work
  By reusing existing integration templates and speeding up modifications, the team met stakeholder demand faster—without sacrificing quality.

Benefits and Outcomes

Since adopting CurieTech AI, the team has seen measurable results:

• 65% Productivity Gain with DataWeave
  Rebuilding flows that once took 45 minutes now take 15 minutes or less. Even junior developers can work independently sooner. ‍
• Zero Hallucinations
  Unlike ChatGPT or Google Gemini, which often returned broken or fictional MuleSoft code, Curie consistently delivered working, deployable output. ‍
• Higher Code Quality and Readability
  Curie enforced naming conventions, structure, and documentation—producing production-ready code out of the box.

Next Steps

Looking ahead, they are planning to CurieTech AI a self-serve tool—allowing business users to generate integration templates that the core team can refine. This shift will reduce early-stage development efforts, speed up delivery, and foster broader collaboration across teams.