For hydraulic distributors, workshops & truck equipment businesses

Get hydraulic enquiries quote-ready before your senior technical team touches them.

AI structures the enquiry, identifies what is missing, retrieves approved product and fitment information, surfaces stock and prepares the commercial groundwork — while technical approval stays with your people.

OMFB's own inputs show 1,056 specialist hours/year spent on technical specification lookups alone.
Need a replacement PTO and pump for our Isuzu tipper. Brisbane. Need it this week.
Prepared context
VehicleIsuzu
ApplicationTipper
MissingTransmission + flow
Guardrails
Approved sources only
Missing data flagged
No autonomous fitment
Human approval required
Use your own enquiryDon't take a vendor demo on faith.
Technical authority stays humanThe system prepares; experts approve.
Benchmark before productionYour historical work becomes the test set.
OMFB PACIFIC
What OMFB's numbers tell us

The obvious place to start is technical lookup.

OMFB told us its team handles about eight technical specification lookups a day. At 30 minutes each, that is 1,056 specialist hours a year. The point is not that all of those hours disappear — they won't. It is that enough senior time is tied up in retrieval and preparation to justify testing what can be removed.

8/daytechnical lookupsCurrent OMFB workflow input
0 hrsspecialist time / yearAt 30 minutes per lookup
$0staff capacity / yearUsing OMFB's supplied $60/hour rate
OMFB's worksheet also models $38k of annual addressable value at a 60% automation assumption. That is a scenario, not a realised saving.
What this looks like

The useful work happens before anyone chooses a part.

A customer sends an incomplete enquiry. Instead of a senior person starting from scratch, the system prepares the context and makes the missing information obvious.

Incoming enquiry

“Need a replacement PTO and pump for our 2021 Hino 700 tipper. Brisbane. Truck is down and we need it this week.”
This is the sort of incomplete context that currently pulls an experienced person into the job early.

Structured handoff

Vehicle2021 Hino 700
ApplicationTipper
LocationBrisbane
UrgencyHigh

Missing before technical review

  • Transmission / gearbox model
  • Current PTO / pump reference or plate photo
  • Required flow / pressure or confirmed operating requirement
Guardrail: Technical review required. No exact part-number recommendation or fitment approval is generated here.
Where AI stops

Use AI for preparation, not engineering judgement.

It can structure, retrieve, draft and surface the right context. It also needs to know when it does not have enough information. Fitment and safety-critical decisions stay with qualified people.

Automate

Extract the enquiry, retrieve approved information and prepare the handoff.

Control

Apply your pricing, customer and workflow rules without hiding exceptions.

Approve

Fitment, pressure, flow and safety-critical decisions stay with qualified people.

Put your own numbers in

How much senior time is quote prep actually consuming?

Start with the workload you already know. We show the current cost first, then let you test how much of the preparation work might realistically be addressable.

Your current quote workflow

Three inputs. Nothing hidden behind an industry average.

0 hrsstaff time currently involved in quote preparation each month
$0annual staff-capacity cost represented by this workflow
At this pace, quote preparation ties up about $81k of staff capacity each year. That is the number worth interrogating. Not because all of it can be removed, but because enough may be repetitive to matter.

Your full diagnostic

$41k50% addressable-time scenario

See the rest of the diagnostic

We'll show whether quote preparation looks like a sensible first workflow — and we are quite happy for the answer to be no.

Start with one workflow

Prove the quote workflow before you build anything bigger.

We take one repeatable enquiry type, map how your team handles it, check the data behind it and test a controlled prototype on your own historical work. Then we decide whether it is worth taking into production.

30 days. One workflow. Your data. A clear go / no-go decision.
Next intake: September 2026. We keep the number of pilots small because the work needs access to the people who actually know the workflow.
01

Map the real workflow

Where the enquiry comes from, who touches it, what gets looked up and where the delay actually sits.

02

Check the data

What is reliable, what is messy, what suppliers allow us to use and what still lives in someone's head.

03

Test historical enquiries

Run a controlled prototype on work your team already knows the answer to. No customer-facing deployment yet.

04

Decide whether to build

If the workflow is useful, accurate and commercially worthwhile, we scope production. If it isn't, we stop.

The things we'd expect you to challenge us on

Good reasons to be sceptical.

A technical business should be difficult to impress with AI. These are the questions we expect before you let us anywhere near a production workflow.

Our product data is a mess.

That's normal. The first question is not whether the data is perfect; it is whether enough of it is reliable to support the workflow. If it isn't, we find that out before a production build.

We already have an ERP.

Good. We are not trying to replace it. The useful layer sits around the enquiry and technical-sales process, then reads from or writes back to the systems you already trust where that makes sense.

Our senior techs won't trust AI.

They shouldn't trust a system that guesses. The point is to remove repeated lookup and preparation work while keeping technical judgement with the people who are accountable for it.

We tried a chatbot and it was useless.

A chatbot is not the proposition. We are talking about a workflow with approved sources, structured inputs, explicit exceptions and a human decision at the end.

Nothing technical goes live because the demo looked good.

We test it against work your team already knows. If it cannot prepare useful context without overstepping, it does not go into production.

Historical enquiries are the test set.
Fitment and safety-critical decisions stay human.
Supplier restrictions and approved data sources are defined before use.
If the workflow does not stack up, we stop.
Next step

If this is a real bottleneck, show us the workflow.

You do not need a polished brief. Show us how the work comes in, who handles it and where the senior time disappears. We'll tell you quickly whether it is worth pursuing.

Talk through the workflow

Your calculator context travels with the enquiry, so the first conversation can start with your numbers.

30-day technical sales pilotOne workflow. Historical enquiries. Clear go / no-go.