Six Controls That Move An Enterprise Agent From POC To Production
Most AI POC projects prove that a model can perform a task, but operating agents in production requires much more: trusted data, secure access, reliable workflows, policy enforcement, in-workflow delivery, and continuous monitoring.
This session presents a practical approach to moving AI systems from POC to production using the AI Controls Framework. It shows how enterprises can connect the right models, including John Snow Labs’ domain-specific models, to the right data and workflows while applying controls across access, context, orchestration, governance, delivery, and observability.
Attendees will leave with a clear framework for turning successful AI experiments into governed, measurable production systems.
About the speaker
Darren Kimura
CEO at AISquared
Darren Kimura is the President and CEO of AI Squared, a leading software integration platform that helps Fortune 50 enterprises and federal agencies safely scale artificial intelligence into existing IT ecosystems. A technology veteran with nearly three decades of experience, Kimura has successfully scaled multiple high-growth businesses and led significant venture capital investments resulting in several IPOs and strategic acquisitions. Prior to AI Squared, he served as the President and COO of edge computing platform ZEDEDA, held CEO roles at LiveAction and Energy Industries, and was a Partner at Sway Ventures. Recognized as the inventor of Micro Concentrated Solar Power technology (MicroCSP) and named the AI Infrastructure Visionary of the Year at the 2026 AI Next Awards, he is a frequent industry speaker and a recurring monthly AI expert on ABC Bay Area.