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Case study · From the Pluris libraryReceipt no. 6943
What sucked

A leading global health and wellness brand had no meaningful AI tool adoption across its engineering organization.

Leadership knew the team was falling behind but had no definition of what good looked like and no credible path to get there. The risk was the standard enterprise failure mode: buy licenses, announce a rollout, watch usage flatline.

Consumer Goods & CPGProduct & Engineering4–8 weeks
What they built

Lazer embedded three engineers to run AI enablement as an engineering engagement rather than a training program. The team audited existing tooling, selected a stack centered on GitHub Copilot and coding agents, and drove adoption in deliberate waves while wiring adoption metrics directly into the engineering organization's OKRs.

What changed
+40% PR Velocity in 6 Weeks

Team pull-request velocity across the engineering org rose 40% within six weeks of the rollout, measured against a pre-engagement baseline.

13 External Contractors Offboarded

Recovered internal capacity allowed the brand to fully offboard thirteen external contractors while two non-developers began shipping production changes.

~$300K/Year Recovered Per 10-Engineer Cohort

Measured productivity gains translate to roughly $300K in annual recovered capacity for every ten engineers, before the software-factory phase compounds it.

Time to results
4–8 weeks
Company size
251-1,000 people
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Who did it
Aanikh Kler
Lazer Technologies

Vetted by Pluris.