Velocity Without Compromise: Agentic AI in the SDLC

A leading consumer mobility and assistance services provider partnered with GlobalLogic to test whether agentic AI could accelerate its software delivery lifecycle without sacrificing quality.

Challenge

The client wanted measurable productivity gains and a dependable path to adopting AI across its SDLC. Requirements and testing were slow and effort-heavy. Shaping epics, documenting user stories, and writing test scenarios and scripts consumed weeks of engineering time. The open question was whether agentic AI could compress those cycles while holding an enterprise-grade quality bar, rather than trading one for the other.

Value Created

GlobalLogic ran a controlled proof of concept using VelocityAI SDLC, scoped to the Requirements and Testing phases for a new customer-facing portal feature. VelocityAI’s backlog and testing agents generated structured backlog items, user stories, test cases, and test scripts. Engineers stayed on the loop throughout, reviewing and refining agent output so that speed never came at the expense of correctness.

Agentic acceleration in requirements 

Requirements gathering dropped from two days to three hours and documentation from ten days to two, compressing the full requirements cycle from three weeks to one. Quality improved alongside speed, with clearer and more complete epics, user stories, and acceptance criteria.

Faster, broader test generation 

Test scenario generation fell from eight hours to twenty minutes, and test script generation ran roughly 75% faster. Automated test coverage rose from 80% to 90%, and the testing cycle shortened from seven days to three.

Impact

In a controlled proof of concept scoped to Requirements and Testing, VelocityAI delivered:

• Requirements cycle reduced from three weeks to one
• Requirements gathering down from two days to three hours, and documentation from ten days to two
• Test scenario generation down from eight hours to twenty minutes, with test script generation around 75% faster
• Automated test coverage improved from 80% to 90%
• Quality maintained or improved, with clearer and more complete epics, user stories, and acceptance criteria

The PoC confirmed VelocityAI can compress delivery cycles without compromising quality, with further gains expected as coverage extends across additional SDLC phases.