CASE STUDY
Reduced cycle times across global squads
New products moved from ideation to shelf.
Reporting automated across PMO and ops
From regional pilots to global rollout in record time
A multinational consumer goods company faced mounting pressure to accelerate innovation while managing complexity across its global R&D and supply chain teams. Despite agile frameworks in pockets of the business, delivery cycles were fragmented, and coordination suffered as new product lines expanded. Teams operated in silos, making it difficult to align sprints, track dependencies, or scale initiatives. The result: delayed launches, duplicated work, and missed revenue targets.
We partnered with the client to implement a federated delivery enablement model anchored in SAFe principles but tailored to their global footprint. Using AI agents, we automated backlog refinement, sprint health checks, and cross-team dependency surfacing. Dashboards provided real-time delivery telemetry across over 120 teams. Our consultants embedded within regional hubs to coach squads, tune governance rituals, and adapt metrics to each market’s dynamics—creating a delivery ecosystem that scales without losing speed or local relevance.
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.
We wrapped global packaging ops in agile precision—scaling delivery with AI-assisted sprints, faster cadences, and real-time clarity from mill to market.