Case studies
Four engagements show how changes to agent tooling, shared working practices, and verification can improve software delivery. Each story explains the starting point, the work, and how its results were measured.
Featured case study
Three teams with 24 developers increased total delivery of changes on a cloud platform, with parallel execution and tested changes ready for human review.
4–7× faster team delivery with parallel cloud agents.
4–7×
Faster team delivery
Parallel cloud agents
See how shared practices, cloud agents, focused tooling, and evaluation changed the way these teams work.
Standardization
Three teams with 15 developers adopted shared agent configurations, training, and verification practices.
151% higher delivery velocity across three teams.
Autonomous development
Three teams with 24 developers increased total delivery of changes on a cloud platform, with parallel execution and tested changes ready for human review.
4–7× faster team delivery with parallel cloud agents.
Token optimization
Four teams with 32 developers reduced model API spend with task-based routing and a more focused agent harness.
53% lower cost per successful task.
Evaluation and benchmarking
Two teams with 18 developers used representative tasks and repeatable evaluation to improve verified correctness.
87% verified success on the held-out benchmark.
We work with your team to connect better tooling and working practices to useful business outcomes.
Give teams shared practices and agent execution capacity that helps them deliver more.
Match model capability to the work and reduce the context and attempts agents need.
Use representative tasks and repeatable evaluation to find and fix recurring agent failures.
Start a conversation
Tell us how your software team uses AI today and what you’d like to improve. We’ll discuss whether tailored training or an ongoing collaboration fits.