Operations | Monitoring | ITSM | DevOps | Cloud

AI is no longer just about "one-shot" prompts. In this session from our "From Idea to Agent" webinar, Ben Norris (AI Engineer at Civo) breaks down the four key priorities dominating the enterprise space in 2026. From the 130x explosion in token usage to the "vibe-coding" revolution, learn why businesses are turning away from US hyperscalers in favor of democratized, secure, and UK-sovereign AI infrastructure. We explore how autonomous agents are solving multi-step problems and why "Chain of Thought" reasoning is unlocking AI for heavily regulated industries like finance and healthcare.

It's all about balance ¯\_(ツ)_/¯

AI is moving fast, and it’s tempting to believe it can automate software governance end to end. But compliance and security aren’t probabilistic problems. They don’t accept “close enough.” They don’t accept summaries. They can’t tolerate hallucinations. Governance depends on facts. Irrefutable, provable evidence of how systems actually changed.

Most governance models focus on what happens before production. Approvals. Tickets. Change records. But software delivery doesn’t end at deploy. Runtime is where change management is validated. It’s where systems prove whether controls actually work and where risk becomes real. If governance stops at deployment, you’re not managing change. You’re managing intent. In this video, Mike Long (CEO & Co-founder, Kosli) explains why runtime is the true source of control, why approvals alone don’t reduce risk, and how modern teams build governance that reflects reality, not paperwork.