Your back office is the hardest-working part of your fleet. And it’s done manually.
Orders typed by hand. Invoices chased. Portals checked every hour. That’s about to change.
You didn’t get into haulage to do data entry.
But right now, data entry is running your office. Someone’s typing every order by hand. Matching PODs at the end of the week. Logging into eight portals a day just to check nothing’s been missed.
Software was supposed to handle this. It just moved the admin around.
New system to manage. Data to keep clean. Staff to train on it. The jobs still got typed in by hand, just into a different screen. That’s not a solution. That’s a new problem.
AI automation does your admin for you. It’s not software you work in. It’s software that does the work.
It reads the emails. Matches the PODs. Checks the portals. Raises the invoices. Not a new screen to manage. Just the jobs, done. And it learns your operation as it goes: Mark’s shorthand, Dave’s usual order, the quirks only your team know.
What would you do with 60 hours a month back?
Orders processed before you get in. Invoices out same day. Compliance green without anyone touching it. Your admin person doing work that actually needs a person.
We set it up. You say bye-bye admin.
No enterprise budget. No IT department. No big switch. We run it alongside your operation until you’re confident it works, then it goes live.
Six things we automate. While you handle the fleet.
Each one is a piece of admin your team currently does by hand.
Every inbound order handled in under 3 seconds.
It reads emails, WhatsApp messages, and customer portals, converting them into jobs automatically. Vague requests, misspelled names, ‘same as last week’: it figures it out.
Every delivery note matched before you blink.
Incoming PODs cross-referenced against open jobs in real time. Digital, photographed, or barely legible: matched. Discrepancies flagged. Zero manual checking.
Tachograph chaos turned into clean records.
Driver hours, rest periods, O-licence deadlines: all monitored. Issues flagged before they become fines. Audit-ready reports generated automatically.
Invoice out the moment the job’s done.
No end-of-week batch. No chasing the right rate. It applies your agreed price and sends the invoice automatically, with the POD attached.
Every run optimised before the driver leaves.
Live traffic, delivery windows, driver hours, vehicle capacity: all factored in automatically. Manifest sent to the driver. No more planning runs by hand.
Every customer query answered in under 4 seconds.
Status updates, ETA queries, booking confirmations: handled instantly from live tracking data. Only escalated when a human decision is genuinely needed.
Why we built this. And why it works for fleets your size.
3 minutes. Plain English.
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Or skip ahead and take the free assessment. Get your numbers in 2 minutes.
Does the cost stack up?
Your admin person costs around £15/hour all-in. At 30 hours a week on order entry, invoicing, and portal-checking, that's roughly £1,800 a month for work that doesn't need a human brain.
AI automation handling that same work costs around a third of that. Your admin person keeps their job. They just stop doing the part that was wasting their time.
Nothing goes live until you've watched it working on your real jobs. The risk sits with us.
Questions worth asking.
The things most operators ask before they decide.
Honestly, it varies depending on your operation: the size of your fleet, how many processes we're automating, and how complex your current setup is. What I can tell you is that for most operators, the system pays for itself within the first few months just from the admin hours it frees up. The free assessment gives you a clear picture of the numbers before any conversation about cost happens. I'm not going to quote you something without actually understanding your operation first.
This is the question I get most often, and it's the right one to ask. So here's how we handle it: the system doesn't just run and hope for the best. It has a confidence threshold built in. If it's confident about a job, it processes it. If it's not confident (maybe the email is ambiguous, or it's something it hasn't seen before) it flags it for your team to review rather than guessing. And in the early weeks, everything goes to your team for review anyway, regardless of confidence. You see every output before anything goes live. The error rate ends up lower than manual entry, but more importantly, the errors that do happen get caught, because the system is designed to catch them.
Almost certainly, yes. The system is built to work alongside whatever you're already using. It's not a replacement for your TMS, it's the layer that sits in front of it and handles the incoming work. So instead of your team logging into portals and typing orders in manually, the system does that for them. Your TMS keeps doing what it does. We just take away the manual input that's eating up your team's time.
This is actually exactly what the learning phase is designed for. The first few weeks, it just watches your operation. It reads your emails, learns your customers, picks up your formats. It works out that certain customers always send jobs a certain way, that your language for specific routes is different from the standard. It learns your operation specifically, not a generic version of haulage. That's the whole point.
This comes up a lot, and I want to be straight about it. The goal isn't to get rid of your team. It's to stop them spending their days on data entry and repetitive tasks that frankly aren't a good use of anyone's time. The operators I work with tend to find that their admin people end up doing more valuable work: customer relationships, problem-solving, handling the jobs that actually need a human. What you do with the capacity is up to you. Some operators grow their volume without adding headcount. Some redeploy people into other parts of the business. That's a conversation worth having once you know what the automation can actually do for you.
Because most software still requires your team to work inside it. It moves the admin around rather than actually removing it. What we've built doesn't ask your team to change how they work. It works in the background and handles the tasks automatically. Your team interacts with it when something needs a decision, not to do the data entry. That's the fundamental difference, and it's why it tends to stick where other things haven't.
Usually six to eight weeks from the initial conversation to the system running on its own. The first four weeks are learning mode: it watches, doesn't touch anything, and your team carries on as normal. Weeks five to eight are review mode: it starts processing, your team checks every output. By week nine, it's handling the jobs it's confident on autonomously. It's a deliberate pace because rushing it doesn't serve anyone.
No. There's no long contract and no exit fee. If at any point it's not working for you, you stop. I'd rather earn your trust by the system actually working than lock you into something. That's not how I want to work, and honestly it's not how you'd want it either.
Yes, and in some ways it makes more sense for smaller operators than larger ones. If you're running eight vehicles with one person handling all the admin, that person is probably the most overloaded person in your business. Taking forty hours of manual work off their plate every week has a proportionally bigger impact than it does in a bigger operation with a full admin team. The free assessment will tell you specifically what the numbers look like for your size.
That's completely fine. That's what the free assessment and the fifteen-minute call are for. Take the assessment, get your numbers, and if you want to talk it through, book a call. I'll give you an honest view of whether I think it makes sense for your operation. If I don't think it does, I'll tell you that. There's no pressure and no pitch. Just a conversation.