Automate the repetitive work your team does every week.
Duplicate data entry, manual reports, chased approvals and copying between systems — automated, so your team stops doing work software should do.
Automation is less about clever technology than about finding the copy-and-paste. Somewhere in most businesses, a person takes information out of one system and types it into another, assembles the same report every Monday, or forwards the same email to the same three people. Each one is small. Added up, it is hours every week of skilled people doing clerical work — and every re-key is another chance to get it wrong.
What we build
- Data that moves itself
A record created in one system appears in the next one without anybody re-typing it: the approved quote becomes the job, the finished job becomes the invoice.
- Reports that build themselves
The figures someone pulls together by hand every week, calculated from the source and waiting in a dashboard or an inbox.
- Approvals and hand-offs
Requests that route to the right person, remind them, escalate when they stall, and record the decision.
- Forms instead of paper and PDFs
Digital forms that validate as they are filled in, file themselves in the right place, and generate the finished document when one is needed.
- Reminders and notifications
Renewals, expiring certifications, overdue tasks and status changes, sent to the people who need them — staff or customers.
- AI where it earns its place
Reading a supplier invoice or summarising a long form can be a good use of AI. We use it as one tool inside a workflow, where it is reliable enough to trust, not as the product.
A good fit, and not a fit
Worth a conversation
- A process you can point to — the spreadsheet, the email chain or the workaround your team repeats every week.
- An established business, where the people who feel the problem can get the person who decides into the conversation.
- You want the system built properly AND looked after once it is running.
Not what we do
- Replacing an ERP, an accounting package or a clinical record system outright. We build around those, not instead of them.
- A ten-day miracle app. Work that size takes longer than that, and we would rather say so now than halfway through.
- Staff augmentation for a large in-house team. PiTech scopes, builds and maintains whole projects; it does not rent out developers.
- “We need AI” with no problem attached to it yet. Bring the problem and we can talk about whether it needs AI at all.
How the work runs
- 01 Workflow consultation Free · about 30 minutes
Show us the workflow or the problem. We ask questions and tell you whether custom software is worth exploring — or whether something simpler would do.
- 02 Discovery & specification Paid engagement
Where there is a strong fit, we map the workflow properly and write it up as a specification: what the system does, for whom, how it connects, what it costs and when. You keep it whether or not we build it.
- 03 Fixed-scope build Quoted against the spec
The build is quoted and scheduled against the specification, so the figure you approve is the figure you pay. Anything new is quoted separately rather than absorbed quietly into the timeline.
- 04 Launch & care Optional monthly plan
Launch, then hosting, updates, security patches, store submissions and changes as your business moves. Whoever built it maintains it, and you can stop the plan whenever it stops being worth paying for.
What Discovery & Specification can cover
- Workflow mapping
- Requirements
- User roles and permissions
- Integrations
- Technical architecture
- UX planning
- Scope and project phases
- Estimated timeline
- Budget
- A written specification you keep
Questions about automation
What can actually be automated?
Anything with a rule a person could write down: moving data between systems, building recurring reports, routing approvals, filling documents from data you already have, sending reminders. Judgement calls stay with people; the clerical work around them does not have to.
Do we have to replace our current software?
Usually not. Most automation connects the systems you already have, where their vendors allow it. Replacing a system is only worth discussing when it is the thing causing the manual work.
Is this an AI project?
Not by default. Most of the value in automation is plain, dependable software. AI is used where a task genuinely needs it — reading unstructured documents, for example — and only where the results can be checked.
We start by mapping the steps as they happen today — not as the procedure document says they happen. Some of what we find is worth automating. Some is better fixed by changing one step, which costs nothing. You will hear about both.
See what finished work looks likeShow us the work your team repeats.
The report someone builds every Monday, the form that gets re-typed, the approval that lives in an inbox. A short conversation is enough to tell whether it is worth automating.
You’ll hear directly from PiTech, typically the same business day.