Workify LogoWorkify
Fleet & asset operations

Fleet decisions run on shop-floor detail.

Fault alerts, approvals, cost tracking, and service history all live in systems that work. What breaks the chain is that the repair itself never gets recorded in enough detail to inform the next decision.

Repeat failures become visibleStatus that reflects realityCost with a cause attached
Book a Demo See an asset history
In the shop

What actually happened to the machine

  • Symptom, tests run, causes ruled out
  • What was replaced and why
  • Whether the repair was verified
Usually lost here
In operations

What the fleet decision needs

  • Is this asset a repeat problem?
  • Is it waiting on a part or a person?
  • Repair again, or replace?
AssetOne machine, one story
StatusWaiting on what, exactly
CostAttached to a cause
HistoryUsable by the next tech
Open the asset timeline
Six months on one machine

Three invoices, or one pattern?

Select an event to compare what the system of record holds against what the repair actually contained. The gap between them is what turns a known problem into a recurring cost.

Asset 4412 · wheel loader8,410 hrs4 service events · 6 monthsIllustrative
What the system of record holds

Sep 16 · as recorded

New work order. SPN 157 again. Assigned to whoever is available.

  • That this is the third fuel-related event on this asset in six months
  • What has already been ruled out and by whom
  • Whether the cost of repeating this exceeds the cost of replacing the component properly
What the repair actually contained

Sep 16 · captured during the work

  • Repeat signalThird fuel-system event since March
  • Already ruled outFilters (June), injector line (August)
  • Never testedTransfer pump under load
  • Cost to date$3,420 across three visits

This is the moment operational data earns its keep: the next technician starts from what is known, and the manager can see a pattern instead of three unrelated invoices.

Status nuance

“In progress” is not a status.
It is four different problems.

Operations does not need more statuses for their own sake. It needs to know whether an asset is waiting on a person, a part, a decision, or a verification.

Status “In progress”

This is where assets quietly sit for days

The most expensive version of "in progress" is a machine waiting on a part nobody ordered because the diagnosis never left the technician’s head.

What is really happening underneath
  • DiagnosingActive troubleshooting. This is the stage Workify is built to support.
  • Awaiting partsCause confirmed, repair blocked. Operations can plan around this if it is visible.
  • Repair underwayCorrective work in progress, with actions captured as they happen.
  • Awaiting verificationWork done, result not yet confirmed. The riskiest status to skip.
Where this applies

Different equipment, the same broken handoff.

The pattern does not change much between a construction fleet, a plant floor, and a seasonal operation: the repair knowledge stays with the technician who did the work.

Articulated hauler

Mixed fleets where every asset has its own history.

Fleet operations
Wheel loader in a shop

Shops where the record is written after the machine is gone.

Maintenance shops
Industrial motor

Facilities where uptime depends on a handful of assets.

Plant maintenance
Combine harvester

Seasonal equipment where downtime has a deadline.

Agricultural fleets
Hydraulic press

Assets that are serviced by whoever is available that day.

Industrial equipment
Being honest about scope

Parts, inventory, and outside repair:
where this extends.

These are the areas fleet teams ask about most, so it is worth being clear about which parts exist today and which we are still shaping with early customers.

What this is today

Diagnosis connected to what the repair needs

When the cause is confirmed during the repair, the parts and follow-up work implied by that cause are identified at the same time rather than a day later.

The repair workflow is where we are focused.
Being shaped with customers

Parts context surfaced during the job

Bringing the relevant part information into the repair conversation, and recording consumption as part of the work instead of as a separate entry.

Depth depends on the parts systems in play.
Where this could extend

Feeding inventory and work-order systems

Returning structured parts and labor detail to the systems that own purchasing, inventory, and cost, rather than asking anyone to re-enter it.

Integration-dependent, and validated case by case.
Where this could extend

Quotes, vendors, and external repair

Coordinating outside work with the same context the internal team has, so a vendor repair returns something more useful than an invoice line.

We are not claiming to have built this yet.

How data moves between Workify and your systems

What fleet teams ask first

Workify is not a fleet management platform. These answers are about how it sits alongside one.

Do we need to replace our fleet platform?

No. Workify is positioned between existing equipment intelligence and maintenance operations. The right implementation should preserve systems that already work and improve the repair context moving through them.

Ready to look at one machine?

Pick the asset that keeps
coming back to the shop.

Tell us how many assets you manage, how repair work moves today, and which integrations would matter most.

Book a Demo Talk to Us

Tell us your fleet size, the systems you run, and how repairs get recorded today.