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Understanding Your AI Bill
AI usage comes with an invoice. Can you map that bill to your organisation's AI activity? Geordie's new Cost Intelligence for AI can help you do that.
"Tokens and invoices tell you what you consumed; they do not tell you what work drove that consumption," said Henry Comfort, co-founder and CEO of Geordie. "Cost Intelligence connects spend back to individual agents and their activity."[1]
Where Does Geordie's Cost Intelligence Get Its Numbers From?
Where a spend figure comes from decides how complete it is. Tools that read traffic at a single gateway or model router only see what passes through it. Geordie's Cost Intelligence measures spend at the individual-agent level across cloud, code and endpoint, so an agent calling a model directly still shows up.
What Areas Does Geordie's Cost Intelligence Cover?
Geordie's Cost Intelligence covers five areas:[1]
- Cost anomaly detection. Catches agents stuck in loops, tasks sent to models bigger than the job needed, and sessions burning budget with nothing to show for it. Geordie reports one bank that burned half its monthly AI budget in a single day due to an agent stuck in a tool loop.[1]
- Cross-platform spend aggregation. Every platform's AI spend in one place, tied back to the agents and the work behind it.
- Token-efficiency mapping. Volume and cost tracked per agent, so the team running the busiest agent is not assumed to be the wasteful one.
- Multi-dimensional breakdown. Start at the organisation-wide total and drill down to a platform, a team, a user, a model or one agent.
- Cache-utilisation insight. Per-agent caching efficiency, and a dollar figure on the agents that are not using it well.
The choice and the remediation stay with the decision makers. Geordie's Cost Intelligence gives them the numbers they need to have an informed conversation.
AI Deployment Is a Shared Conversation
AI deployment has financial, security and governance consequences. A shared view across these areas is needed to start an informed discussion. Cost Intelligence from Geordie can provide this shared view.
As Geordie's article explains: "Teams that get visibility into their agents' standing footprint tend to find both a cost story and a control story sitting in the same data."[2]
A Foundation for Measuring Agent ROI
You need a cost-per-agent figure to weigh spend against work performed. Until you have a reliable measure, there is no ROI conversation to be had about AI agents at all.
"When you can see what an agent costs alongside the work it performed, you have the foundation for understanding agentic ROI, and that is exactly what Cost Intelligence delivers," said Henry Comfort, co-founder and CEO of Geordie.[1]
One Geordie customer describes what changed:
"One of our biggest challenges with AI spend has been visibility," said Jacob Sweat, VP of Technology at Wood Partners. "Once Geordie gave us a clear view of what agents are costing us and whether that spend is doing something useful, the conversation shifted from 'how much are we spending?' to 'is this spend worth it?'"[1]
Get Started
Geordie's approach to AI agent risk management moves beyond security with Cost Intelligence. Geordie is relied on by Fortune 500 companies. Whether you need to itemise the cost of AI or bring your AI security and governance up to speed, start your discussions about Geordie with OneDot61.