Automate the work your team dreads. Once.
Somebody spends Tuesday morning matching invoices to purchase orders by hand. The office manager pulls the same report every Monday, reformats it, and emails it around. Yesterday's field tickets get re-keyed into accounting every night.
None of that work is hard. It's just repetitive, easy to get wrong, and it eats a slice of somebody's week that could go on the parts of the job that actually need a person. We turn that kind of work into something that runs on its own, build it once, and stay to support it.
Signs it's time.
You probably already know. But in case you're talking yourself out of it:
- There is a Monday report somebody dreads. The first hour of the week goes on pulling, cleaning, and emailing the same numbers around.
- The same data lives in three places. Somebody's job is keeping the copies in step with each other.
- You hired to keep up with data entry. Headcount grew to service the process rather than the customers.
- Invoices, quotes, or approvals stall in inboxes. The work is fine. The handoff is where things die.
- Errors show up downstream. Wrong amount, wrong customer, wrong ship-to. The fix is upstream and it is a workflow, not more reminders.
- You are afraid to lose the person who knows the spreadsheet. The process lives in one head, and their vacation is a company-wide event.
If two or more of those landed, there's work here worth doing.
What we automate most often.
Boring, repetitive, and done constantly. That combination is where the money is.
Invoice processing
Matching invoices to purchase orders, pulling the fields that matter out of PDFs, routing for approval, and posting into your accounting system.
Quote to invoice handoffs
Sales closes a quote, and the invoice, the fulfillment, and the customer record all update without three people copying the same numbers around.
Approval routing
Purchase requests, time off, expenses, contract sign-off. Routed, chased, logged for the audit trail, and landed in accounting.
Cross-system sync
Customers, order status, stock, payments. When it changes in one place it changes everywhere it needs to, once.
Scheduled reporting
The weekly or monthly numbers build themselves and land in the right inbox on the right day, formatted the way the reader actually wants them.
Data entry between systems
The classic. Somebody is retyping what another system already knows. That is the most automation-shaped work there is.
We don't sell a platform.
We pick whatever fits the job, and we have no reason to prefer one over another because we don't resell any of them.
Zapier, Make, n8n. Straightforward workflows between well-behaved tools. Fast, cheap, easy to hand back to you.
Power Automate. Sensible when you already live in Microsoft 365 and SharePoint, Outlook, or Teams are part of the workflow.
Small custom automations. When the logic gets complicated, the volume gets high, or the systems refuse to cooperate with the off-the-shelf platforms. Cheaper than an application, more capable than a no-code workflow.
A real application. When the automation IS the process. That's custom software and it's priced accordingly.
If the right answer is a no-code tool and one focused afternoon, we'll say so. Most automations also depend on a working integration underneath, so we usually look at that first.
Watch the work, then automate the worst bit.
Watch the work. Two to four hours with the people who do the process today. Not a whiteboard session: the real screens, the real files, the real edge cases. Process documentation almost always misses the parts that matter, and the parts that matter are where the errors are.
Scope the smallest useful piece. We don't try to automate everything at once. We take the step that eats the most time or causes the most errors and start there, so you see something working in weeks.
Run both in parallel. The automation runs alongside the manual process until everyone trusts it. Then the manual one retires.
Support it. Automations break. Vendors change things, spreadsheets get renamed, someone adds a field. We stay on it so that isn't your problem.
What it costs and how long it takes.
Small automations, one workflow across one or two systems with straightforward logic, land in the low five figures and ship in a few weeks.
Standard automations with multiple steps, business rules, approvals, monitoring, and real edge cases run into the mid five figures over a few weeks to a couple of months.
Larger programs covering several related workflows, high volume, or a legacy system in the middle run higher and phase over months. We scope in stages so you're never committed past what you've approved.
Discovery is fixed price and gives you a real number for your specific process before you commit to anything else.
When we're not the right call.
We'd rather lose the work than take it badly. Some honest cases where you should hire someone else, or nobody:
- You want a firm to take the work over with a team of people. That is outsourcing, it is a legitimate model, and it is not ours.
- The process genuinely needs a person on every case. If judgment is required each time, automating the handoff around it might help a little, but we will tell you if it will not move the needle.
- It is a one-time cleanup rather than a recurring process. Automation earns its keep on the work you will do again next week. For a one-off, pay someone for a week and be done.
Before you call.
What's the difference between this and outsourcing (BPO)?
Outsourcing means paying an outside firm's people to keep doing the work by hand, usually at a lower hourly rate. Automation means building the workflow so most of that work does not need doing by hand at all. Different model and a different price shape: outsourcing is a per-person bill that never ends, automation is a build with a support layer.
What's the difference between RPA and workflow automation?
RPA simulates a person clicking through a screen, which is useful when a system has no other way in. Workflow automation uses the systems' own interfaces, which is cleaner and breaks far less often. Most of what we build is the second kind, with the occasional RPA piece where there is genuinely no other option.
How fast does it pay for itself?
It depends entirely on how much time the current process eats. A workflow that gives someone back six hours a week pays for itself in months rather than years. Small focused automations pay back fastest, which is why we start there rather than trying to do everything at once.
What happens when a vendor changes their software?
Things break, and we monitor for it. On ongoing support we handle the fix. If you take it in-house after we build, you will know what to watch for, because that is part of the handover.
Do you handle getting our team on board?
We handle the technical side and we will help you plan the rest, but the people part is yours. We are being honest rather than unhelpful here: automations that ship without buy-in get worked around, and no amount of good engineering fixes that.
What if we're not sure what's worth automating?
That is what discovery is for. We watch the actual work for a few hours and tell you honestly what is automation-shaped, what isn't, and where the fastest wins are. Sometimes the answer is that the process needs changing rather than automating, and that is cheaper.
Automation usually sits on top of a working integration, and occasionally the honest answer is AI or a custom application instead. See everything we do.
Ready to give your team back their Mondays?
Bring us the process that eats the most time or causes the most errors. We'll tell you honestly what's automation-shaped, what isn't, and what a real build would cost.
Start a conversation