CASE STUDY
More stories completed per sprint across regions
From monthly to weekly release cycles
Cost avoided through automation & efficiency
Eliminated through AI-assisted sprint ops
A global packaging manufacturer with operations across five continents faced mounting pressure to reduce lead times and accelerate innovation. Legacy waterfall methods and siloed project management tools resulted in long cycle times, duplicated efforts, and minimal visibility into team performance. With increasing demand for sustainable packaging innovations and customer-specific customization, the company knew it needed to scale its delivery model—fast, globally, and without disrupting ongoing production.
We helped the client adopt a tailored Agile-at-scale framework aligned with its operational realities—from factory floor innovation to R&D and customer onboarding. Our team implemented a hybrid SAFe/LeSS model, supported by AI agents that automated sprint reporting, flagged velocity trends, and identified cross-team dependencies in real time. By harmonizing tooling across Jira and Azure DevOps, we created unified visibility, consistent rituals, and rapid feedback loops that now power faster, more reliable delivery across global squads.
For a global CPG leader, we scaled agile from shelf to sprint—aligning teams, accelerating launches, and turning delivery friction into first-mover advantage.
We turned scattered real estate builds into a synchronized launch engine—using agile rhythms and AI oversight to break bottlenecks and scale sites with confidence.