XOPS

XOPS Agents

An AI agent for every IT function, accountable for the outcome.

One shared Operating Position. One governed execution platform.

XOPS brings specialized AI agents to IT operations. Each agent understands its function, takes responsibility for operational outcomes, and executes work across your existing systems. All agents operate from a shared, continuously reconciled understanding of your environment, with centralized governance and verified execution.

An assistant helps someone do their job. An XOPS agent is responsible for getting the job done.

Pick an agent

Watch it do the job.

Why an XOPS agent

Why not hire another person, or use a generic AI agent?

The whole picture

It works from every system at once

A new hire learns one system at a time, and a generic AI agent with access to many systems still sees their conflicting records. An XOPS agent works from one continuously reconciled position across HR, identity, devices, software, contracts, finance and AI, so it acts on facts that have been reconciled.

The authority to act

It executes across your systems

Every action runs through XOPS governed execution: policy-bound, approval-gated where you choose, logged and verified in each system it touches. The agent finishes the work and proves it happened.

The job, built in

It already knows the role

Each agent arrives with its function's questions, the known ways that function goes wrong, the governed plays that fix them and the briefs the role owes. It starts on day one and works every hour of the year.

Specialized job agents

Software assets Hardware assets Identity & access AI governance IT finance HR partner Service desk Fulfillment Workplace

Every agent detects, decides, executes and verifies.

The Operating Position

One set of facts, shared by every agent. Governed execution runs the work.

Systems of record stay authoritative

Workday · Okta · ServiceNow · Intune · Coupa · CrowdStrike · Nexthink · Anthropic

Specialized operators that own the outcome.

Each agent takes responsibility for getting the work of its IT function done, and carries the expertise of the specialist who does that work today. How it gets there:

Detect

Knows what goes wrong

Watches for the known failure patterns of its function, like a device nobody has seen or a leaver still holding a laptop.

Decide

Knows the right move

Works out the action from the shared Position and your policy, and says where the evidence stops instead of guessing.

Execute

Knows the fix

Runs governed plays at the autonomy level you set, from recommend-only to run within policy.

Verify

Knows it’s done

Confirms the result in every system, then reports it in the briefs the role owes, in Teams, Outlook or any AI assistant.

One platform underneath every agent: the same continuously reconciled context, the same governed execution, the same policies and the same verification. That is what makes their work reliable, governed and scalable.

Security and compliance evidence comes from every agent: reconciled device, software and AI inventories, leaver close-outs, access-review records and license positions, mapped to the controls auditors ask about. Security & Compliance →

Every answer says where its number stops.

An agent answers from the maintained Position, never from a model's guess. Each question gets one of three responses.

Answer

When the facts are on file

"Sydney is short 14 devices for next month's starters. Austin holds 61 unassigned devices that match."

Answer and state the limit

When the facts only go so far

"1,920 devices leave warranty this quarter. There is no dollar exposure on file, so I haven't estimated one."

Decline and name the gap

When a number would be a guess

"I can't answer that yet. Check-in times and asset values aren't connected. Connect them and this becomes an answer."

Example answers are illustrative.

A leaver is one story, not four tickets.

An employee leaves holding licenses, a laptop and AI API keys. The XOPS Agent keeps it as one case, and each job agent closes its own part.

Software Asset ManagerReclaims the licenses and returns them to the pool

Hardware Asset ManagerRecovers the laptop with custody intact

AI & Agent GovernanceRevokes the API keys or reassigns the agents they run

Identity & AccessCloses remaining access and confirms it is closed

The operating model

Agents run the job. XOPS executes the actions.
People set the policy and own the exceptions.

The agents

Agents run the job

Each agent continuously manages the operational responsibilities of an IT function. It investigates, decides and acts without waiting for instructions.

The platform

XOPS executes the actions

Agents never change your systems directly. Every action runs through XOPS governed execution: deterministic, policy-bound and verified, with no language model in the execution path.

Your team

People set the policy

Leaders keep authority over objectives, constraints and risk, over exceptions outside an agent's delegated authority, and over strategic decisions.

What an agent owns

An agent runs a function day to day. It doesn't wait to be asked.

Software Asset Manager agent

Manages the license pool: allocates the entitlements you own, reclaims and redistributes unused ones, decides when you really need to buy more, and keeps every renewal and audit ready, acting through XOPS on everything inside its authority.

Reclaim and reharvest stay autonomous execution. The agent owns the judgment around them.

Hardware Asset Manager agent

Manages the hardware estate: decides whether to allocate stock, redeploy a recovered device or buy new, on landed cost across sites and borders, and runs fulfillment, refresh, recovery and retirement, escalating only what falls outside its authority.

Recovery, warranty claims and disposal stay autonomous execution. The agent owns the planning.

Your team should manage the strategy, not the transactions.

Your people set the objectives and policies. Your agents own the operational outcomes.

Why we believe IT should run this way: read the manifesto →

XOPS eliminates the operational work that consumes IT organizations today. Specialized AI agents take on increasingly complex responsibilities, so IT professionals can focus on strategy, governance, vendor relationships and business outcomes.

See it run

The agents build on autonomous execution
already running at global enterprises.

See Autonomous IT in Action Calculate your IT opportunity