Give agents more responsibility as they earn it
Agents are already doing work the business depends on, and the question has moved from whether they are allowed to whether they are running well. Geordie gives AI operations one shared picture of every agent, what it does, what it costs and where it can take on more, built on the same record security and IT work from.
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Nobody yet owns whether your agents are doing good work
The mandate to adopt agents usually arrives top-down and funded, while running them well has no obvious owner. Security owns whether an agent may act, and nobody yet owns whether it is acting well, what it costs or whether it should be retired, even as estates fill with agents that were switched on once and forgotten. Where an AI operations function exists, these are the questions it is asked first.
Which agents are doing work for the business?
Agents arrive through licensed platforms, personal preference and teams building their own, so no single registry shows the whole estate or who owns each part of it.
Is each one working the way it should?
A workflow can run every day, produce output that looks right and still be doing something nobody intended, which only shows in what the agent actually did.
Where is the same work being done three times?
Departments build agents for the same job independently, each with its own tools, models and spend, and nobody can compare them side by side.
Where can agents take on more?
Giving an agent more responsibility needs evidence of how it has behaved so far, and controls that hold if it oversteps.
Most of the work of running agents lands on your team unassigned
Where an agent operations function exists, it is the natural owner of the inventory, the telemetry record and the question of whether agents are any good. It also convenes the decisions other teams hold a stake in, which makes a single shared record more important here than anywhere else.
AI operations owns
Where the function exists- The inventory as a living asset Kept current, reconciled across sources and answerable for the gaps.
- Observability and telemetry One agent record that security, finance and the business all read from.
- Reliability, quality and improvement Whether each agent is reliable, improving and worth running.
AI operations shares
Often contested- Intake and approval Convening the gate, with security holding a veto.
- Human-in-the-loop experience When someone is asked to approve an action, and how.
- Cost against output With the business units running the agents and finance holding the line.
AI operations depends on
Usually owned elsewhere- Detection and response Security picks up the threats the record surfaces.
- Identity and devices IT issues the identities and runs the endpoints agents live on.
- A judgment of value The business decides whether an agent's work is worth having.
From our research series, Who should own agent security and operations?
One operating picture of every agent and the work it does
Shared picture
Every agent, every owner, in one view
Geordie maps every agent to its owner, platform, model, tools and permissions, and keeps that picture current as agents are built, changed and abandoned. Security, IT, finance and the business all read the same record, so the conversation about an agent starts from the same facts.
Wood Partners mapped the MCP servers, knowledge bases and connectors behind each of its agents, detail it could not track consistently any other way.
Compare and improve
Compare agents doing the same job across departments
Because every agent is recorded the same way, Geordie can put agents that do the same task side by side, across departments and platforms, and show how differently they behave, what they cost and what risk they carry. That makes consolidation a decision based on evidence rather than a guess about whose agent is better.
Cost and usage
See what each agent costs against the work it does
The instrumentation that observes an agent for security already captures what it consumed doing the work, so spend is attributable to an agent, an action and an owner. Set against how often an agent runs, that shows where spend is producing work and where it is accumulating on agents nobody uses.
"Cost Intelligence is starting to give us a better read on whether all that connectivity is actually worth what it costs." Jacob Sweat, VP Technology, Wood Partners
Remediation, powered by Beam
Human-in-the-loop that means something
Beam's Confirm mode pauses an agent before a consequential action and gives its operator the context to decide, rather than a prompt to click through. Paired with Monitor, Guide and Enforce, it lets AI operations widen what an agent may do as it earns trust, without handing over everything at once.
Vendor-agnostic by design
AI operations rarely runs on one platform. Geordie reads agents wherever they are built and run, so the operating picture does not stop at a single vendor's console.
- Agent platforms Claude, OpenAI and Codex, GitHub Copilot, Microsoft Copilot, Cursor and 45+ more.
- Cloud and data platforms Amazon Bedrock, Azure AI Foundry and custom harnesses through APIs and telemetry.
- Low-code and workflow Agents built by business teams in automation platforms, alongside engineered ones.
- Gateways Works with the gateways you run, and covers the tool types they never see.
What AI and technology leaders tell us
- AI platforms approved at a global private equity firm, with a documented review behind every approval.
- 0 → 3
- inventory accuracy estimated by Wood Partners, across agents from multiple platforms.
- 98%
“I'd like to get to a point where everybody's building their own agents, and Geordie would be the key tool around managing that risk and making sure those agents aren't going off the rails.”
“Someone builds a perfectly reasonable workflow, runs it every day, checks that the output looks right, and has no idea that their agent has been quietly doing something they never intended. You can't see that from the network layer.”
“Cost Intelligence is starting to give us a better read on whether all that connectivity is actually worth what it costs.”
AI operations in your industry
Questions from AI operations teams
See the operating picture of your agent estate
We will show you every agent, who owns it, what it does and what it costs, and where the same work is being done more than once.