Your IT organization is doing work your systems should be doing
Find out how much.
Enter a few numbers. See how much operational work XOPS could eliminate, how much capacity your team could recover, and what that means financially.
Your IT organization is doing work your systems should be doing
Enter a few numbers. See how much operational work XOPS could eliminate, how much capacity your team could recover, and what that means financially.
The tabs measure different things. Overall estimates time across the specialist IT roles the agents cover, from headcount. Software, Hardware and AI size specific work and spend from your licenses, fleet and AI use, so Hardware also counts service desk and hands-on field work that Overall leaves out. The estimates overlap, so don't add them together.
Your potential annual impact
4,455
hours of manual IT work, gone
Today, your team spends an estimated 17,820 hours a year on manual operational work.
What XOPS takes off your team today
Counted in this estimate.
Handled by specialized agents
Not counted in this estimate.
And that's just the operational work. It doesn't include the savings from smarter hardware refresh, software optimization or AI consumption control.
That is 3.3 people in these roles per 1,000 employees supported.
How this is calculated: people in the roles the agents cover x productive hours per person gives total capacity. The manual-work share gives the hours spent on manual operational work, and the automated share gives the hours eliminated. Recovered FTE is hours eliminated divided by productive hours per person, and its value is recovered FTE x fully loaded cost. Complex investigations and ambiguous exceptions are handled by specialized agents and left out here, so set the share with that in mind. Capacity value isn't equivalent to cash savings unless the organization reduces or avoids spending. Both percentages are your assumptions, not XOPS benchmarks or customer results.
Your estimated annual savings
-
annual license optimization opportunity
Total annual opportunity: -
Realizable in the next 12 months: -
License recovery at the share of agreements renewing, plus audit spend avoided.
Measured at a customer
40% license spend reduced · Fortune 250 financial
How this is calculated: employees x spend per employee gives software spend in scope. The unused share gives the waste, and the recovered share gives the annual optimization opportunity. Most of it turns into cash as agreements renew or true up, so the realizable figure applies the share renewing in the next 12 months. Audit spend avoided is your annual audit spend x the share avoided. All percentages are your assumptions; the customer result shown is one measured outcome, not a forecast.
Sources: Zylo, 2025 SaaS Management Index (January 16, 2025) for SaaS spend per employee and unused-license waste; Flexera, 2025 State of IT Asset Management Report (June 18, 2025; 506 IT professionals) for audit spend. Both are vendor research.
Your estimated annual impact
-
hours of device lifecycle work removed a year
-
Hours removed, by lifecycle stage
Measured at a customer
$4.3M a year saved and +1-2 years of device life · Fortune 500 technology
How this is calculated: your workforce and fleet set yearly volumes for 33 device lifecycle activities, from purchase orders and new-hire deployments to refreshes, repairs, leaver recoveries and disposal. Each activity has hours per event and a base-case autonomous share; hours removed are hours x the share x your realization, hands-on work at half, capped at 95%. Labor capacity is hours removed x the labor rate. Shipping avoided, devices recovered and refresh deferred are direct savings; employee productivity is shown separately and is not cash. Steady-state annual values, before any deployment ramp.
This is the same activity model XOPS uses in device lifecycle proposals, so the same inputs give the same labor results. All values are your assumptions except the labor rate, sourced from BLS May 2025 national medians; the customer result shown is one measured outcome, not a forecast.
Your estimated annual savings
-
AI spend recovered a year
Total AI savings a year: -
Risk context, not in the estimate: IBM and Ponemon's Cost of a Data Breach Report 2025 found a high level of shadow AI added USD 670,000 to the average breach cost.
How this is calculated: employees x AI spend per employee gives AI spend in scope, and the recovered share gives the annual savings. All values are your assumptions.
Source for the risk context: IBM and Ponemon Institute, Cost of a Data Breach Report 2025 (July 2025; 600 breached organizations).
What customers measured
92%
Of contractor lifecycle work completed with no human intervention.
Fortune 15 pharmaceutical · measured
$4.3M/yr
Saved by refreshing devices on their actual health instead of their age.
Fortune 500 technology · measured
40%
Software license spend reduced, once entitlement, usage and ownership were continuously reconciled.
Fortune 250 financial · measured