Every case study reflects actual outcomes — no vague claims, no inflated numbers, no composite clients.
Cloud sprawl across AWS and Azure accumulated through rapid growth and acquisitions. Spend was up 30%+ year-over-year with no governance, no tagging policy, and no visibility into what teams were consuming.
ResultsAI adoption had outpaced spend controls. Multiple teams were using LLM APIs with no visibility, no per-team budgets, and no governance — spend was growing fast with no accountability.
ResultsA monolith that had hit its ceiling — deploys took weeks, velocity was falling, and every release carried risk while live healthcare operations couldn't stop.
ResultsProduction GenAI under full GxP and 21 CFR Part 11 compliance — a bar most AI vendors can't clear. They needed a partner who understood both the engineering and the regulation.
ResultsIntegrate 250+ employees and stand up a compliant, standalone IT environment post-acquisition — while exiting the seller's TSA on a hard deadline with financial penalties for any overrun.
Results