Vendors describe implementation as onboarding, which makes it sound like account setup. The configuration genuinely is quick. What takes the time is building an asset register that never properly existed, and that work runs at the speed of people answering emails about what they’re holding.
TL;DR
- Configuration takes days. Getting your existing fleet into the system takes weeks.
- The register is the work. Everything else is settings.
- Start with new hires, not with migrating your whole estate, so value arrives in week one.
- Expect your current data to be wrong in ways nobody predicted, mostly stale holders.
- Name one internal owner. Implementations that belong to a team stall quietly.
- Agree what “done” means before you start, because otherwise it runs indefinitely.
What actually takes the time
Three things, in a predictable order, and only one of them is technical.
Account and catalogue setup. Days. You pick standard builds, set approval rules, add the delivery markets you hire in and connect whatever integrations you happen to be using. A competent vendor does most of this with you in a couple of sessions.
Getting existing devices in. Weeks, and this is where implementations overrun. Whatever list you have is incomplete, holders have changed, and some machines were bought locally by people who’ve since left. Confirming reality means asking individuals one at a time, and individuals reply entirely at their own pace rather than yours.
Changing how people request things. Longest of all, because it’s a habit rather than a setting. Hiring managers who emailed somebody for a laptop will keep emailing somebody until the new route is genuinely easier than the old one.
Start with new hires
This is the single decision that makes an implementation feel fast, and plenty of teams get it backwards.
The instinct is to migrate the existing fleet first, on the reasoning that you can’t manage what isn’t in the system. It’s logical and it delays every benefit by about two months, because the register work is slow and nothing visibly improves while it’s happening.
Run new hires through the platform from week one instead. Every new starter is clean data entered correctly at the moment of issue, the team sees the thing working immediately, and the back-catalogue migration proceeds underneath without anybody waiting on it.
What to do:
- Route all new hires through the platform from the first week.
- Migrate existing devices in the background, by team rather than all at once.
- Set a cut-off date and record what you cannot confirm as unknown.
- Don’t wait for a complete register before using the system.
Your existing data is wrong, and here’s how
Everybody knows their register is imperfect. Few predict the specific shape of the errors, which is useful to know in advance.
Stale holders. The most common by a distance. A device recorded against somebody who left, or who passed it to a colleague eighteen months ago without telling anybody, which is nobody’s fault and happens constantly.
Ghost entries. Machines on the list that were disposed of, lost or replaced, where the disposal was never recorded because the person who did it had no reason to think anybody cared.
Missing entries. The expensive one. Devices bought locally on expenses, issued informally from a cupboard, or inherited in an acquisition, which appear in no list at all and are precisely the machines most likely to go missing.
A company that sampled first
A 210-person company had a spreadsheet listing 188 devices and assumed migration would be a straightforward import.
They sampled first. Twenty-five entries at random, each confirmed directly with the person it named. Six were wrong, which implied roughly a quarter of the file was unreliable, and importing it unchecked would have moved a bad register from one system into another while making it look authoritative. That sample took two days and reset everybody’s expectations about the timeline.
They imported what they’d confirmed, marked the rest as unverified, and worked through it over the following quarter. The register is accurate now because they never pretended it was.
Define done before you start
Implementations without a finish line don’t finish. They just become quieter.
Write it down first. Three or four measurable statements, agreed before kickoff. Something like: all new hires routed through the platform, devices for named teams confirmed and loaded, retrieval tested on one real leaver end to end, and a named person owning the register from month three onward. Those are checkable, and a project you can declare complete is a project somebody will actually close.
Notice what isn’t on that list. A complete register isn’t a realistic finish line, because the unverified tail never quite closes and waiting for it means never finishing.
Where we fit
RemoAsset is our own product, so weigh this accordingly. Procurement and retrieval across 80+ countries with each device tracked from issue through return, from $1,499 a year on the Subscription tier for companies with 50 to 5,000+ employees, including a 60 per cent reduction on retrieval charges.
One limit matters more than usual during an implementation. It has no network discovery, which means it can’t find the machines your register never knew about, and those are exactly the ones a migration is trying to surface. Confirming them is a people exercise rather than a software one. It also has no software licence management, and only the Subscription tier publishes a figure, with pay-as-you-go quoted.
Workwize, Firstbase, GroWrk, allwhere, Esevel and Deel IT run comparable implementations and publish no rate card. Rippling IT states more than 130 countries and publishes no price for IT.
Checklist
Checklist:
- One named internal owner, not a team.
- A sample of 20 to 25 register entries confirmed before any bulk import.
- New hires routed through the platform from week one.
- Three or four measurable statements defining done.
- Retrieval tested on one real leaver before you call it finished.
- A cut-off date after which unconfirmed devices are recorded as unknown.
Final Thoughts
The configuration is the easy part and vendors are right to say so. What they can’t do for you is establish what you own, because that information lives with your people rather than in any system.
So budget the calendar time rather than the effort, start with new hires so something works immediately, and sample your existing data before trusting it. An implementation that takes eight weeks and ends with an honest register beats one that takes three and ends with a tidy-looking file nobody can rely on.
Frequently asked questions
How long does an equipment platform implementation take?
Configuration takes days. The register work takes weeks. So most teams should plan for six to eight weeks end to end. The variable isn’t the software, it is how quickly people reply when asked to confirm what hardware they hold. Starting with new hires means you get value in week one regardless of how the migration progresses.
Should we migrate our existing fleet first?
No, and this is the most common sequencing mistake. Migrating first delays every benefit by about two months while nothing visibly improves, because confirming existing devices is slow work. Route new hires through the platform immediately so the system is demonstrably working, and let the back catalogue load underneath without anybody waiting on it.
How wrong is our current register likely to be?
Expect three error types. Stale holders where a device is recorded against somebody who left or who passed it on, ghost entries for machines disposed of without being recorded, and missing entries for hardware bought locally or inherited in an acquisition. Sample twenty-five entries and confirm them directly before importing anything in bulk.
Will the platform find devices we have lost track of?
Generally no. Logistics platforms know about devices they handled rather than everything on your network, so machines bought locally before the platform arrived stay invisible to it. Finding them is a people exercise: ask individuals directly, record what comes back, and set a cut-off after which anything unconfirmed is marked unknown.
Who should own the implementation internally?
One named person, never a team. Implementations owned by a department stall quietly because nobody is individually accountable for the slow unglamorous part, which is chasing confirmations. The role matters more than the seniority, and it should continue past go-live as ownership of the register itself.
What does “done” look like?
Three or four checkable statements agreed before kickoff: new hires routed through the platform, named teams confirmed and loaded, retrieval tested on one real leaver end to end, and a named owner for the register from month three. A complete register isn’t a realistic finish line, because the unverified tail never fully closes and waiting for it means never finishing.