Who Owns AI Inside Your Company? The Rise of the AI Ops Role

Somewhere in your company, someone has built a Claude skill that saves them a day a week. Someone else built a dashboard the sales team now relies on. Neither has an owner, IT does not know they exist, and the day either person leaves, the work leaves with them.

Several Kowalah clients now employ someone whose full-time job is AI Ops, and they describe the same problem. Individual AI use is booming but siloed and ungoverned. Shared workflows go unused until somebody chases them. The best prompts and skills live on personal laptops.

In 15 focused minutes, Charlie shows what the AI Ops role owns, what it leaves to other teams, and how to turn scattered individual wins into a company brain: one governed place where your skills, context and tools stay with the company.

What you'll learn:

• Define the four jobs of an AI Ops role: surface, own, centralise and chase adoption.
• Take stock of the AI tools, skills and agents your people have already built.
• Name an owner for every business-critical AI tool before it breaks.
• Move skills, prompts and context off personal laptops into a shared company environment.
• Spot and spotlight grassroots AI innovation so the best ideas reach the whole company.

Who should attend:

COOs, CIOs, Heads of Operations and AI programme leads who are deciding who should run AI day to day, or who have already hired someone and want the role to succeed.

What you'll leave with:

• A clear picture of what the AI Ops role owns, so you can write the job spec.
• A first-week plan: take stock, name owners, set up a shared home for skills.