Truck rolls, room health, and the hidden Layer-1 cost.

A truck roll to an AV-equipped conference room runs $300 to $500 fully loaded. The number includes the technician's loaded labor hours, the vehicle, the bag of spares, the time the room is unavailable, and the management overhead on the dispatch. Most enterprises know the number. Most enterprises also know that some non-trivial share of those rolls turn out to be unnecessary on arrival.

The unnecessary ones split into three patterns. The first: the room self-corrected before the technician got there, but no one updated the ticket. The second: the technician arrives, looks at the device, and realizes the help desk could have resolved it remotely if the ticket had carried enough context. The third: the device on the port is not what the ticket said it was, and the technician has to escalate before doing anything useful.

Each of those three is addressable. The math is worth doing.

A 400-room baseline

Take a moderate enterprise AV portfolio. 400 conference rooms, 12 locations, in-house IT plus a primary AV integrator on the account. Pre-deployment baseline:

• Roughly 80 room incidents per month (one room per five generating an incident in a month, which is the published industry-typical rate).
• Of those, ~25 escalate to a dispatched on-site visit.
• At $380 per roll fully loaded, that is $9,500/month or $114,000/year in dispatch cost alone.
• Average MTTR (open to close) is around 4 hours.

What Utelogy closes

Utelogy's published outcome on MTTR is a 75% reduction within 60 days. Applied to a 4-hour average, the new MTTR is 1 hour. On the 80 monthly incidents, the saved hours add up to 240 per month, or 2,880 per year.

Utelogy's published outcome on L1 support call volume is a 67% reduction. Applied to dispatched truck rolls specifically, the reduction is more conservative because self-healing automation closes the tickets that would otherwise have stayed at L1, not the tickets that would have escalated to dispatch. A reasonable assumption: Utelogy alone removes 30% of the truck rolls (the share that self-corrects before dispatch). The remaining 70% — about 17.5 per month — still get dispatched.

What CybrIQ closes on top

The remaining truck rolls split into the second and third patterns above: tickets the help desk could have resolved if they knew the device, and tickets where the device is misidentified. Device-identity context resolves both. The L1 tech opens the ticket and sees: “Port 23, conference room 4, Bldg D. Device on port: Logitech Tap, MAC OUI matches Logitech, authorization-list: yes, last identification confidence: 0.94. No anomaly. Refer to room-monitoring playbook line 7.”

Most of the time, that resolves the ticket. The L1 tech updates the Utelogy alert. No dispatch.

A conservative assumption: of the remaining 17.5 monthly dispatches, CybrIQ context removes a further 30%. That is 5.25 dispatches per month avoided. At $380 per roll, the CybrIQ-attributable savings are $2,000 per month or $24,000 per year.

Stacking the math against the 400-room portfolio

Lever	Pre-deployment	After Utelogy	After + CybrIQ
Truck rolls / month	25	17.5	12.25
Annual dispatch cost	$114,000	$79,800	$55,860
MTTR (hours)	4.0	1.0	1.0
Annual savings vs. baseline	—	$34,200	$58,140

The Utelogy-alone savings are real and they show up in the first 60 days. The CybrIQ-on-top savings are a 70% lift on the residual dispatch volume that survives self-healing. The two are not double-counted because they apply to different shares of the original dispatch pool.

What this math is not

It is not the audit and compliance value, which is a separate set of figures (covered on the combined calculator). It is not the room-utilization or capital-planning value, which is also separate. It is just the truck-roll math: a back-of-envelope, conservative estimate of dispatch avoidance from layering room health and device identity in one operations conversation. Most customers find the truck-roll lever is one of the easier conversations to have with finance because the dispatch invoices are already on a known line item.

If you take one thing away

Self-healing automation closes the tickets that should not have been tickets in the first place. Device-identity context closes the tickets that did not need a truck. The two stack. The math is small but reliable, and finance does not need a multi-page narrative to see it.