Your AI spend is growing. Most of it is invisible.
As AI tools spread across your teams, the costs and risks aren’t showing up where you’d expect. They’re buried in which models your teams default to, which tools your agents are connecting to, and which workflows are quietly running more than they should.
By the time most IT and security leaders spot the problem, the bill has already grown.
Join our live session with Barndoor AI as they walk through real-world examples of where AI costs and access risks hide, and the practical approaches leading teams are using to find and fix them.
What you’ll walk away with
Visibility into where your AI costs are actually hiding
See how defaulting to expensive models and over-provisioned agent access drives up spend in ways your team can’t currently see.
A clearer picture of where MCP tool access creates risk
Learn from real scenarios where broad agent access created security exposure that standard reviews never caught.
A way to identify which workflows are costing more than they should
Surface the agent behaviours and tool calls burning the most resources before they compound.
A framework for the capabilities your org actually needs
Understand what it takes to manage model access, tool permissions, and cost visibility at scale across technical and non-technical teams alike.
Why attend?
If you’re responsible for AI infrastructure, security, or platform strategy at a mid-to-large organisation, this is for you.
You’ll leave with:
- A clear view of which model choices and agent configurations are most likely driving unnecessary spend
- The right questions to ask about your current MCP tool connections and where they might be creating exposure you’re not seeing
- A practical framework for evaluating the tech stack you need to govern AI access and costs going forward
- An approach to applying consistent policies across technical and non-technical teams, without building separate systems or adding overhead
Your speaker
Neil Mansilla
VP of Platform, Barndoor AI
Neil leads platform strategy at Barndoor AI. Previously, he led Developer Experience at Atlassian, supporting the global ecosystem of developers and partners building on the platform. Before that, he worked as a software engineer across e-commerce, real estate, and healthcare.
