The Platform / Domains / AI Estate
Every employee assistant, every API key, every autonomous agent, governed as one estate. From the prompt a person types to the budget an agent spends, attributed to an accountable owner before it ever reaches an invoice.
Always on
Control loop, not a project
Every event
Identity, spend & governance
Read-only
Starts above your existing stack
The spend nobody owns
Every enterprise is deploying enterprise copilots, LLM platforms, AI workspaces, and autonomous agents. Each one adds a non-human workforce that can consume budget continuously, replacing thousands of explicit purchasing decisions each quarter with millions of autonomous spending events every day.
Traditional governance assumed every technology purchase had a human owner and an approval event. AI doesn’t. Tokens and autonomous agents now spend every day with no manager to own them and no approver to answer for them. And industry FinOps research consistently finds significant portions of cloud spend already go unmanaged or unattributed.
FinOps dashboards explain last month’s spend; they don’t stop tomorrow’s. XOPS runs the loop continuously, attributing and governing every dollar as it happens.
FinOps dashboards
Explain last month’s spend, after the invoice is already committed.
+ Gateways
Enforce a technical token limit in the request path, with no idea who owns the spend or which budget funds it.
XOPS
Attributes every dollar and every agent to an accountable owner, then coordinates the systems that own the spend, continuously, as it happens.
From a dashboard you read to a system that acts.
Not a project. A control loop.
After the first connection, nothing is ‘discovered’ again. XOPS continuously reads every AI platform, identity provider, HR, finance, and procurement system, so the Operational Knowledge Graph already knows who owns every agent, which budget funds it, who manages the owner, which cost center pays, and what policy applies. Governance isn’t a project you run. It’s a loop that never stops.
Continuously
A change occurs: someone is hired or leaves, a budget is crossed, a new agent or API key appears.
Continuously
Operational truth updates instantly, so the estate’s real state is always current.
Continuously
The event is checked against the budget, role, and policy that apply to it.
Continuously
When reality diverges from policy (an overage, an orphan, a violation) it is caught.
Continuously
XOPS coordinates the response across the systems that own it, not in the request path.
Continuously
XOPS confirms the estate matches the declared state and preserves the audit trail.
Then it runs again. Continuously, for every event, across the whole estate.
Triggered by reality, not projects
The estate changes every day. People are hired, transferred, and leave; budgets move; agents and keys appear and go idle. Each one is an event the control loop responds to, coordinating across the systems that own it. A few of the events XOPS governs:
Identity
Spend
Governance
When the owner leaves
The Operational Knowledge Graph already knew Employee A owned Agent X, that it runs on API Key K, bills to Cost Center C, spends about 2.3M tokens a day against an $8,000/month budget, and reports to Manager B. Friday, Workday processes the termination. The owner no longer exists. But the agent, the key, and the spend still do.
Without coordination
With XOPS
One departure. Every assistant, key, and agent accounted for.
Nothing left spending in the dark.
Why the graph
Gateways and dashboards count tokens. XOPS stores relationships. So every token and agent maps to a real identity, owner, budget, and level of consumption.
An invoice records consumption; a cost center records accountability. XOPS reconciles both against real usage, so AI spend never lands on a workspace nobody owns.
Using the Operational Knowledge Graph, XOPS correlates identities, HR records in Workday, cost centers, API keys, cloud accounts, identity providers like Okta and Microsoft Entra ID, procurement in Coupa, and ServiceNow with the AI platforms themselves, into one continuously reconciled AI estate. That cross-system correlation is what turns an anonymous token into an accountable owner.
XOPS governs AI not because it integrates with model providers, but because it understands the enterprise (HR, finance, identity, and procurement) around them.
The four relationships that make AI accountable, held as relationships, not rows, so a change in any one updates the rest. XOPS always knows who every dollar belongs to, as the spend happens.
Every dollar
Mapped to an accountable owner
Every agent
Given an accountable owner
Continuous
Governed as it happens, not at quarter close
The new AI primitive
Now non-human identities, autonomous agents, hold their own credentials, budgets, and decision authority across OpenAI, Anthropic, Microsoft, AWS, and Google, and most organizations cannot inventory them, let alone govern them.
XOPS continuously inventories every autonomous agent, assigns it an accountable owner and a funded budget, and governs it on the same lifecycle as an employee: identity, ownership, budget, and consumption, continuously reconciled. A runaway agent is flagged and throttled at the source, the moment it spikes.
What continuous truth delivers
The properties a System of Action is built to hold for the AI estate, enforced continuously, not assembled at audit time.
Accountability
Every agent and key has an owner.
Governance
Every dollar maps to a budget.
Control
Every policy is continuously enforced.
Operational truth
Every relationship stays current.
Coordination
Every outcome spans systems.
Auditability
Every action is verifiable.
Where XOPS is different
How it’s different
Coordination, not metering
Cost dashboards report what was spent after the invoice. Token gateways enforce a technical limit with no idea who owns the spend. XOPS does the part neither can: using the Operational Knowledge Graph, it maps every assistant, API key, and autonomous agent to an accountable owner, budget, and cost center across your HR, identity, finance, and procurement systems, then coordinates governance across the platforms that own the spend. It governs the entire AI estate, every employee assistant and autonomous agent, as one continuous loop.
Employee AI
A dozen assistants, mapped to owners
Agent workforce
Non-human identities, governed like employees
Continuous control
Every event, every owner, every budget
Everyone can count tokens. Only XOPS knows who they belong to.
200+
Enterprise & AI integrations
Every provider
OpenAI, Anthropic, Microsoft, AWS, Google
Above your stack
Deploys on the systems you already run
Pick one domain. Connect the systems. Run a real Outcome end-to-end before the next steering meeting.
