SUCCESS STORY
Integrating Continuous Testing for Boehringer
Testing Unleashed
High pressure, high outcome
Boehringer Ingelheim (BI), a global leader in pharmaceutical innovation, recently approached Automators to assist with the design and implementation of a powerful set of software automation test and delivery tools. At the time, BI was beginning to explore a broad new field of pharmaceutical research that was set to dramatically improve the health of humans and animals around the world. To support that mission, BI needed to undergo a radical digital transformation of its existing platform for rolling out new software.
- Automated Test Cases
- 1000+
- Faster Time-to-Market
- 40%
- Test Accuracy
- 90%
- Improvement in Deployment Frequency
- 10x
Automators’ implementation of a TOSCA-based architecture
Automators first helped BI by rapidly designing and implementing a customized, user-friendly test automation architecture for BI’s Enterprise Delivery Platform. The process involved the creation and integration of a clear implementation standard to apply across all test automation and delivery workflows in addition to a new, Tosca-based software test automation architecture to support high-speed software delivery.
Impressed by the speed, quality, and expertise that Automators brought to the table in its first implementation — and after growing a deep appreciation for Automators’ constant support and training — BI extended its contract with Automators to develop the Tosca test and delivery systems for BI’s entire suite of enterprise assets, including SAP, Salesforce, ServiceNow, and Office365.
During the initial six months of the implementation process, Automators worked closely with BI’s Test Center team to develop a highly specific architecture capable of satisfying the nuanced qualifications and regulations that applied to BI’s pharmaceutical use case across all of its core systems. In this respect, Automators built the technical aspects of the architecture, created governance, and enabled the training context in a way that supported seamless scaling and adoption across thousands of applications and dozens of autonomous teams within BI’s organization.
The timline in a Nutshell
After implementing the completed architecture, Automators has continued to help BI overcome the typical adoption challenges found in an organization of BI’s scale. This involved the collection of success stories from satisfied teams for the purpose of internally marketing the solution to new BI teams. Furthermore, Automators helped ensure that sufficient resources were available to teach the influx of new users how to successfully and efficiently use the architectures with SAP, Salesforce, ServiceNow, Office365, and Enterprise Delivery Platform.
Qualification of the System
Conducted thorough qualification to ensure they met the necessary standards for the upcoming automation architecture.
Implementation of the New Architecture
Successfully implemented a new Tosca-based automation architecture, designed to enhance testing efficiency and support rapid software delivery.
Lighthouse Projects
Executed key lighthouse projects to demonstrate the effectiveness of the new architecture, setting benchmarks and creating success stories within BI’s core teams.
Scaling to Other Projects
Expanded the implementation across multiple projects, leveraging the proven architecture to achieve widespread scalability and efficiency improvements within the organization.
Adding guidance & structure with more headlines.
After implementing the completed architecture, Automators has continued to help BI overcome the typical adoption challenges found in an organization of BI’s scale. This involved the collection of success stories from satisfied teams for the purpose of internally marketing the solution to new BI teams. Furthermore, Automators helped ensure that sufficient resources were available to teach the influx of new users how to successfully and efficiently use the architectures with SAP, Salesforce, ServiceNow, Office365, and Enterprise Delivery Platform.
Ultimately, BI wanted a software delivery pipeline — akin to that of Google or Facebook — where different BI teams could work independently to design, test, and roll out novel software solutions and automation strategies at lightning speed.