A leading global life sciences company operating across 100+ countries needed to scale its enterprise integration platform without scaling its headcount — and without sacrificing quality.

The Challenge

This organization runs 90+ APIs and 105+ integration processes across six business units — eCommerce, Sales & Services, Finance, HR, Global Operations, and Manufacturing — handling around 80 million real-time API calls per month. MuleSoft is the integration backbone, connecting SAP/S4, SuccessFactors, Salesforce, and a digital commerce platform.

Rapid growth and new acquisitions created relentless pressure to ship integrations faster. But three persistent problems held the team back:

1. Slow, inconsistent testing Manual test case creation took up to four hours per API. Test data generation was labor-intensive, and coverage varied by developer skill level.

2. Code and documentation inconsistencies Payloads, test plans, and documentation were all generated manually. Output quality depended heavily on who wrote the code, creating technical debt and review overhead.

3. Knowledge transfer bottlenecks Understanding legacy integration logic could take junior developers days. Senior engineers were repeatedly pulled away from high-value work to explain code and troubleshoot issues.

Why CurieTech AI?

The team evaluated several AI tools, including generic code assistants, but none offered the MuleSoft-specific depth the integration landscape demanded. CurieTech AI stood out on four dimensions:

Purpose-built Integration Platform intelligence Deep coverage of design, development, testing, and code review — not a generic assistant adapted for integrations.

Flexible across the lifecycle Available as both an IDE plugin and a Chat UI for architecture, analysis, and diagnostics.

AI agents that act as senior developers Junior engineers can understand and modify complex code independently, without pulling in a senior developer each time.

Accurate, guided troubleshooting Curie analyzes code and context to identify root causes and recommends the exact changes needed to fix issues.

How the team uses it

Automated unit test generation Curie generates complete unit test suites — even for complex, headless APIs — in minutes rather than days, with consistent coverage regardless of who runs it.

Code explanation and multi-repo analysis Flows, dependencies, and logic that once took days to unpack are now explained in seconds. Junior developers use Curie as their on-demand SME to work confidently and independently.

Streamlined development and review Junior developers are guided through coding, troubleshooting, and testing. Senior developers can focus on design and code review — reducing rework and eliminating bottlenecks.

In their own words

"A test case that used to take two days to develop is now created in about five minutes." — Senior Integration Leader

"Junior developers previously depended on senior developers for code explanations and solutions. With Curie, they can now work independently, allowing senior developers to focus on high-impact architectural work." — Senior Integration Leader

"Project planning is much easier now. Earlier, we had to carefully figure out the right mix of resources and expertise. Today, we can assign any available resource, knowing Curie will complement their skills." — Senior Integration Leader

Results

  • ~25 times faster API test creation — reduced from 4 hours to 10 minutes per API
  • 45% productivity gains across development, testing, and code review workflows
  • Junior developers performing at senior-level proficiency, reducing dependency on senior engineers for day-to-day code questions
  • Optimized resource allocation — projects no longer need a precise mix of seniority; developers are assigned by availability with Curie closing skill gaps
  • Fewer defects, lower operational effort, and more predictable delivery cycles with fewer bottlenecks