Guest: Randy Bias (LinkedIn)
Company: Mirantis
Show Name: An Eye on AI
Topic: AI Governance

AI innovation is moving at breakneck speed — faster than any technology wave before it. “Every week or two, there’s another coding agent at the top of the heap,” says Randy Bias, VP of Strategy & Technology at Mirantis. “It’s just changing so fast that it’s hard to make a bet.”

That volatility makes future-proofing a strategic necessity. As enterprises invest in the Model Context Protocol (MCP) to power agentic AI workflows, Bias warns that betting on specific vendors or closed architectures is a recipe for obsolescence. Instead, organizations need a modular, adaptable infrastructure that evolves as the ecosystem does.

Building for Change, Not for Certainty

Mirantis’ answer is MCP AdaptiveOps, a framework that helps teams deploy secure AI control planes while staying flexible enough to adapt as standards evolve. “You’re betting on AI, not on specific technology,” Bias explains. The framework allows enterprises to swap components, migrate registries, and integrate new open standards without re-architecting everything.

He compares it to cloud-native’s early years, when pioneers like Netflix gained an edge by re-platforming before competitors caught up. The same dynamic, Bias says, is now playing out in AI infrastructure.

Avoiding the Pitfalls of Rapid Adoption

Gartner predicts that 40% of agentic AI projects will fail by 2027 due to unclear ROI and escalating costs. Bias believes those failures will come from rushing in without structure. “We’re bringing training, education, and real-world experience,” he says. “You need to triage your use cases, prioritize what makes sense, and evolve step by step.”

The Mirantis approach mirrors the maturity curve from past revolutions. Step one: experiment and learn. Step two: scale with secure, observable systems. Step three: embed those practices into your culture and operations. “You’re adding new DNA to the business,” Bias says. “You can’t skip the steps.”

Experience Matters

Bias draws confidence from Mirantis’ history navigating transformative shifts—from OpenStack to Kubernetes. That experience informs how AdaptiveOps combines consulting, secure deployment blueprints, and continuous evolution. As AI moves from experimentation to production, enterprises need that kind of long-term partner to guide them through the volatility.

“Technology will keep changing,” says Bias, “but if you build for adaptability, your investments don’t have to.”