This week we sat down with Jim Olsen, co-founder and CTO of ModelOp, to explore what it takes to get AI into production inside Fortune 500 companies. Building a model is only part of the job. Knowing where it runs, what it costs, who owns it, and whether it meets company policies is where things get complicated.
Jim walks us through a live demo of ModelOp, showing how it discovers unregistered enterprise AI, brings it into a central inventory, and uses agents to fill out documentation and flag compliance gaps. His team is turning work that can take months into a process that takes minutes, with humans still in the loop.
We also covered why AI spending needs to be measured by business use case, whether an AI-powered pet feeder solves a real problem, and how Jim runs engineering from an off-grid home at 10,200 feet in the Colorado mountains.
We cover:
• What ModelOp does and why all its clients are Fortune 500 companies
• Why enterprise AI projects get stuck between prototypes and production
• Tracking token usage and costs by business use case
• Shadow AI beyond employees using chatbots
• A live demo of discovering and registering enterprise AI
• Using AI agents to complete forms and identify compliance gaps
• Why model inventories matter when providers change or models retire
• The real-world problems that led Jim to co-found ModelOp
• Petlibro’s AI-powered feeder and whether everything needs AI
• Running an engineering team with solar power and Starlink from an off-grid home
If you are building with AI, managing enterprise AI deployments, or trying to understand how governance can accelerate delivery, this episode is for you.
Find Jim and ModelOp:
Website: https://www.modelop.com
New episodes every Friday at BuiltThisWeek.com
TIMESTAMPS
[00:00] Intro
[00:41] Meet Jim Olsen, co-founder and CTO of ModelOp
[01:49] What ModelOp does: enterprise AI governance explained
[03:15] Tracking AI costs by business use case
[04:50] Demo: token usage and cost dashboards
[05:41] Automating governance and compliance workflows
[06:08] Discovering shadow AI across enterprise platforms
[08:49] Bringing a healthcare chatbot into the inventory
[09:56] AI agents automate documentation and forms
[11:20] Checking policies and flagging compliance gaps
[12:05] From months of work to minutes
[12:27] The real-world problems behind ModelOp
[14:04] Tracking model dependencies and managing changes
[15:23] Where to find ModelOp
[15:43] News: Petlibro’s AI-powered pet feeder
[16:11] Does everything really need AI?
[17:20] Automatic feeders, robots, and everyday chores
[18:23] Jim’s off-grid setup in the Colorado mountains
[19:09] Solar panels, batteries, and working remotely
[20:12] Wrap-up
#AI #ModelOp #AIGovernance #EnterpriseAI #ShadowAI #AIAgents #Fortune500 #BuildWithAI #BuiltThisWeek
