Ann Kariuki didn't start in a boardroom. She started on the front lines of IT — customer support at Verizon, healthcare systems at Pero Systems/IBM, postal infrastructure at the U.S. Post Office. From Day 1, her passion was solving real problems with technology. Not for the title. Not for the salary. Because there is something deeply satisfying about walking into a broken system and making it work.
That passion drove a 15+ year career across some of the most data-intensive environments in the world. Financial systems at CitiGroup and Chase Bank. Home mortgage automation at Bank of America. Automotive data integration at Dealertrack. Auto finance data quality at GM Financial. Enterprise-scale AI pipelines at Ericsson — building distributed data systems, Hadoop ecosystems, Azure cloud infrastructure, and real-time AI workflows for one of the world's largest telecommunications companies. Then at Sunday.ai (AI Robotics) — working as a Memory Developer at the frontier of home robotics, recording and shaping the AI memory that teaches physical robots to perceive and act in the real world. The kind of work most people only read about.
Throughout that journey, one thing became impossible to ignore. Fortune 500 companies were using automation to capture every lead, retain every customer, and outperform competitors at a scale that local professionals simply could not match. Not because local businesses weren't smart enough — but because nobody had built the bridge. RapidScale Solutions LLC is that bridge. Rapid deployment. Scale that was previously only available to corporations with entire IT departments. Now built for DFW local businesses — and built to scale.
A world where every local professional has access to the same AI infrastructure Fortune 500 companies use — without needing an IT department to run it.
To rapidly deploy enterprise-grade AI systems for local businesses — so that every lead is captured, every client is retained, and every professional can compete at scale.
Your RapidScale Solutions LLC system is architected by someone who has built enterprise AI pipelines, robotics AI memory systems, and data infrastructure at Fortune 500 scale. Every automation is engineered — not just configured.
"Buying software and being set up with a complete AI growth system are two entirely different things. We do the second one."