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Optimizing application development with cloud-native solutions and automation

Discover how TELUS International helped a world-leading communications and technology company streamline workflows and enhance its quality standards by leveraging a cloud-native development strategy and advanced automation solutions, including AI-powered test-driven development (TDD).

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$1M
estimated annual cost savings

66%
decrease in cycle time

95%
coverage using in-sprint automation testing

The challenge

Our client, a world-leading communications and technology company, delivers a diverse array of services, including internet access, voice entertainment, IPTV television and more. The client faced challenges with its existing software development process, which was characterized by manual tasks, minimal automation and a reactive quality assurance approach. As a result, productivity timelines and budget objectives were difficult to meet.

Recognizing the imperative for change, the client embarked on a journey to revamp its application development process.

The TELUS International solution

The client engaged TELUS International to aid in addressing these challenges. Our experts adopted a cloud-native development strategy enhanced by robust automation and AI-powered test-driven development. The solution prioritized automation to streamline workflows, minimize manual labor and enhance quality standards. It encompassed the following elements:

  • Integrating quality checks and automation earlier in the development cycle.
  • Investing in cutting-edge tools for continuous integration and delivery.
  • Incorporating automation within sprint cycles to enhance process efficiency and first-time quality.
  • Optimizing resource allocation to achieve a balanced QA and development cost ratio.
  • Implementing a strategic right-shored model for efficient resource distribution across locations.

The results

With the revised development strategy in place, the client was able to achieve:

  • A 52% decrease in quality engineering (QE) costs compared to development expenses.
  • A significant increase in automation coverage for end-to-end regression testing, rising from 70% to an impressive 90%. This improvement ensures more thorough testing and results in higher-quality deliverables.
  • A reduction in cycle time from six weeks to two weeks, enabling swifter delivery, cost reduction and enhanced agility to meet market demands promptly.
  • Enhanced testing capabilities. Implementing in-sprint automation testing achieved an outstanding 95% coverage, a stark improvement from the previous baseline of 0%.

Together, these improvements will yield substantial cost savings for the client, totaling approximately $1.05 million annually.


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