How XOPS works
Most AI systems stop at a recommendation, a generated response or an isolated action. Enterprise operations take more: continuously knowing what’s true, determining what needs to change, executing across many systems, and verifying that the intended outcome was achieved.
XOPS is the operating foundation that makes autonomous agents possible.
Want to see what this looks like when an agent takes responsibility for an IT function? Watch an XOPS agent at work →
How XOPS works
Every XOPS agent, for software, hardware, people, AI, finance, the workplace and communications, works from the same reconciled Operating Position and acts through the same governed execution. That is what the rest of this page shows.
Agents and other sources of intent
Operating Position
Governed execution
Your existing enterprise systems
The operating cycle
Once XOPS is connected, it runs one cycle continuously, for every employee, device, license and AI agent it can see. No ticket starts it. Here it is on one condition: a laptop that stops checking in.
1 · Observe
Continuously reads operational state across connected systems.
Intune hasn’t seen the laptop in 30 days.
2 · Reconcile
Resolves identities, relationships and discrepancies to establish what’s true.
Workday shows its user left two weeks ago. No return was ever logged.
3 · Decide
Evaluates actual conditions against desired outcomes, policies and constraints.
Policy says devices come back from leavers. Recovery is within the agent’s authority.
4 · Execute
Coordinates actions across systems, obtaining approvals where required.
A return kit ships, the ServiceNow record is updated, and the former manager is notified.
5 · Verify
Confirms the intended state was achieved, and keeps monitoring.
The device is received and custody is closed. Every system shows the same record.
No request. No ticket. No one checking a dashboard. XOPS found the problem, recovered the device and verified the outcome.
Illustrative example
When conditions change mid-flight
Sarah joins as a six-month Marketing contractor. One Workday record becomes a verified outcome across 11 systems: identity, laptop, apps, channels and access, each confirmed, with offboarding already scheduled for the day her contract ends. XOPS holds that outcome open for all 182 days. On day 47, two systems record valid events that call for contradictory actions. This is where reconciling enterprise state before acting matters most.
Day 47 of Sarah’s contract. Two systems. One event, seen two different ways.
System A · Coupa
Sarah’s consulting engagement cancelled
Cancellation workflow fires →
System B · Workday
Sarah converts: contractor → FTE
Conversion workflow fires →
Each workflow fires alone: blind to the other.
Without XOPS: two valid workflows create one operational failure.
With XOPS: the events are reconciled into one governed transition.
No one carries state between systems. People govern the policy and own the exceptions.
Long-running work
A workflow can finish while the job remains incomplete. XOPS keeps the outcome open across deliveries, dependencies, system changes and approvals. It continuously reassesses progress and closes the work only when the intended result is verified.
One laptop refresh, one open outcome
Illustrative timeline
Day 0
Device health crosses the refresh threshold. No local stock matches, so a replacement is ordered within policy.
Days 1–4 · Waiting
In transit with the carrier. The outcome stays open; XOPS watches the shipment.
Day 5
Delivered. The employee is scheduled for the swap.
Day 6
New device enrolled and confirmed working. A return kit ships for the old one.
Days 7–19 · Waiting
Old device not yet returned. A reminder goes out; past the policy window, it escalates.
Day 20 · Verified
Old device received, wiped and custody closed. Now the outcome closes.
Exception-first operations
XOPS completes the work it is authorized to do and brings in a person only when their judgment or authority is needed. When it stops, it says why and hands over the context. When the evidence is incomplete, contradictory or below the required confidence, it pauses rather than guessing.
What hands work to a person
Missing permissions
The action needs access to a system XOPS hasn’t been granted.
Conflicting records
Two sources disagree, and policy can’t settle which one is right.
Policy exceptions
The right action falls outside the rules you set.
Unavailable inventory
Nothing in stock meets the standard in time.
Explicit approval
The action is one you chose to approve yourself.
Exception · Hardware Asset Manager
Illustrative
No standard laptop in Austin stock for a Monday start
Unavailable inventory · routed to the Austin IT lead
Your decision
Approve the Dallas transfer
Loaner for week one
Buy outside the standard
Whichever you choose, XOPS executes it and verifies the result. The options come from your policy.
Every answer says where its number stops.
The same rule applies when you ask an agent a question. It answers from the maintained Operating Position, never from a model’s guess, and 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.
Getting started
Read-only connectors come first, so XOPS shows your Operating Position before anything changes. The agent then works your real data in validation mode, and the first outcome goes live only when your team signs off. From there you add agents and raise autonomy as confidence grows.
The execution lifecycle
Pick an operating condition. Watch XOPS detect it, decide within policy, execute across your systems and verify the result, with no one asking first.
Bring the transition your current automation can’t safely resolve. We’ll run it against the systems you already operate.