The Challenge
AI and digital transformation don't run on legacy infrastructure. But for organizations early in their cloud journey, the path forward is riddled with risk.
You're under pressure to show results fast—so corners get cut. Resources get provisioned manually through cloud consoles with no documentation. Environments can't be reproduced. One or two people become the only ones who know how things work. Security and compliance gaps go unnoticed until an audit surfaces them. Costs spiral without explanation, and nobody can tell you why last month's bill doubled. Migration missteps cost the average company 14% more than planned each year, with 38% seeing delays of more than a quarter.
The worst part? These manual approaches create inefficiencies, misconfigurations, and cost sprawl that compound silently, until you're two years in, trying to build AI capabilities on a foundation that can't support them.
The companies that succeed aren't just migrating to the cloud. They're building it right from day one.
