We automate the repetitive, rule-based work that eats your team's time, using AI where it genuinely helps and plain, reliable engineering where it does not.
In most businesses a surprising amount of time goes on tasks that follow known rules: copying figures from invoices into a system, chasing approvals by message, producing the same weekly report, sorting incoming enquiries. None of it needs judgement, but all of it needs doing, so people do it.
Automation turns those patterns into software. The measure of success is not how clever the technology is but how many hours it hands back and how few mistakes it makes. Often a straightforward workflow tool does the job; AI earns its place where the input is unstructured, such as documents, emails or free text.
Give the repetitive work to software and the judgement to people.
Ideal for: Operations carrying high-volume manual work that follows known rules.
- 01Document & data extraction
- 02AI assistants and copilots
- 03Process & workflow automation
- 04Predictive reporting
- 05Integration with existing tools
- 01
Find the repeatable work
We map where time actually goes and pick the processes with high volume, clear rules and a measurable cost, which are the ones that pay back fastest.
- 02
Pick the simplest tool that works
A scheduled script or a workflow integration is often better than a model. We reach for AI only where the task involves language, documents or judgement calls that fixed rules cannot handle.
- 03
Keep a person in the loop
Automations that touch money, customers or compliance include review steps and logs, so staff can see what happened and correct it. We flag clearly where output needs checking.
- 04
Integrate with your existing tools
The automation connects to the systems you already use rather than replacing them, so adoption does not depend on retraining everyone.
Document and data extraction
Pulling structured data from invoices, forms or emails into your system, with exceptions routed to a person to check.
Workflow and approval automation
Routing requests, reminders and approvals automatically so work does not stall waiting for someone to notice it.
AI assistants for staff or customers
Assistants that answer routine questions from your own documents and hand over to a person when they are unsure.
Automated reporting
Reports and dashboards produced on a schedule from your live data, replacing the weekly copy-and-paste routine.
Technology we use for this
- Node.js
- TypeScript
- PostgreSQL
- AI model APIs
- Integrations and webhooks
Other solutions
Ready-made systems
We do not publish fixed prices, because no two businesses need exactly the same thing. You receive a written quote after we understand what you need, with the full breakdown before you commit to anything.
What affects the price
- How many processes you want to automate
- How structured the input is: forms, or scanned documents and free text
- Whether plain workflow automation is enough or an AI model is needed
- Integrations with the tools you already use
- Review and approval steps for anything touching money or customers
- Ongoing monitoring and support
Which processes are worth automating first?
Those that are frequent, rule-based and slow: data entry between systems, routine reports, approvals and sorting incoming requests. We estimate hours spent per week and error cost, so you can see the likely payback before committing.
Does automation always mean AI?
No. Most of the value comes from ordinary workflow automation and integrations. AI is useful when the input is messy, such as scanned documents, free-text emails or varied formats, and we use it only in those places.
How accurate is AI, and what happens when it is wrong?
AI makes mistakes, so we design for that: confidence checks, a review queue for uncertain cases and logs of what was done. For anything affecting money or customers, a person approves before it takes effect.
Is our business data safe when AI is involved?
We design with data protection in mind: sending only what a task needs to a model provider, keeping credentials out of code and agreeing with you in advance which data may leave your systems. We tell you which provider is used and why.
Is this only for large companies?
No. Small teams often gain the most, because one person doing repetitive work is a larger share of the workforce. We start with one well-chosen process and expand only if it proves its value.
Tell us what you're trying to solve. We'll figure out the technology.