We protect client confidentiality — names and identifying details are anonymized. The operational challenges, approaches, and outcomes are real.
Book an Introductory CallFounder was the bottleneck for every client decision. Delivery team couldn't execute without approval loops that averaged 4.2 days per cycle.
We ran the ScaleOS™ Discovery Sprint and found that 78% of approval requests were for decisions that could be systematized. We designed an agentic decision-support layer and rebuilt the delivery workflow.
AI tools had been deployed across 3 departments but ROI was unmeasurable. Team had low confidence in the initiative. Leadership was considering pulling the plug.
Process mining revealed that the AI tools were deployed on top of broken workflows. We redesigned the underlying processes first, then re-deployed the tools with proper data pipelines and KPI tracking.
Scaling headcount to meet client demand but margin was eroding. Every new client required proportional new hires. The business couldn't grow profitably.
We identified that 60% of delivery work was repeatable and could be systematized. We built an agentic delivery layer that handled the repeatable work, freeing the team for high-value client work.
Post-acquisition: new PE-backed owner needed to understand what they had bought and build operational infrastructure for the value creation plan.
We embedded as Operating Partner on Day 1. Ran the ScaleOS™ Discovery Sprint during the first 30 days, then designed the operational OS: KPI framework, reporting cadence, and first wave of AI automation.
Note on confidentiality: All case studies are anonymized to protect client confidentiality. Industry, company size, and engagement type are accurate. Specific metrics are reported as provided by clients at the time of engagement close.
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