AI Automation
We build custom AI chatbots, agents and automated workflows that read your documents, route your work and update your systems, with a person approving what matters.
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Pick a step to see where the AI works alone and where a person stays in charge.
Step 1 of 4
An invoice lands in a shared inbox. The workflow picks it up without anyone forwarding it.
The same details get typed into two or three tools, every day.
Work sits until someone reads it, sorts it and sends it to the right person.
Invoices, forms or contracts are checked line by line.
A chatbot can answer the common ones from your documents and hand the rest to a person.
The answers already exist in your documents, but finding them takes time.
Every new customer adds admin, so headcount rises with revenue.
What we build
Each one starts small, is tested against real examples and keeps a person in charge of anything hard to undo.
Pick one to see more
AI Automation
Virtual assistants grounded in your own content, with source citations and a clean handoff to a person when they are unsure.
AI Automation
Agents that read information, decide a next step and act in your systems, inside limits you set.
AI Automation
Turn PDFs and scans into structured data your systems can use, with a review step for anything unclear.
AI Automation
Assistants that answer from your own material and show where each answer came from.
AI Automation
Automate the handoffs between CRM, email, finance and spreadsheets so work moves on its own.
Which fits?
Custom is not always the answer. If a no-code tool covers it, we will tell you.
| Compare | No-code toolsZapier, n8n and similar | Custom AI automationBuilt around your process |
|---|---|---|
| Time to first version | Stronger on this: Days | Weeks |
| Complex rules and exceptions | Gets hard to manage | Stronger on this: Built for them |
| Cost at high volume | Rises per task | Stronger on this: Mostly fixed |
| Review and audit trail | Basic | Stronger on this: Designed in |
| Who can change it | Stronger on this: Your team, without code | Engineers |
| Best when | The task is simple, low volume and connects tools that already have integrations. | The work involves documents, judgement or volume, and mistakes are costly. |
How we work
Six steps, the same on every project. AI-assisted workflows speed up the build, an engineer reviews every change, and at each step there’s something you can check for yourself.
Security built in from the first sprint, not added at the end.
“Good software takes work off your plate. We build what you need, show you as we go, and tell you straight when something isn’t worth building.”
Adding engineers to a team instead? Start with a trial sprint on real tickets.
Book a callStep 01
We start with what you are really building, not just a list of features. Goals, users, limits and edge cases are agreed before anyone writes code.
Scope agreed before we build
A written scope and milestone plan for you to approve.
Step 02
We map the system before the build: how the parts connect, where the data goes and which APIs it needs. Fewer surprises, and no big rewrites halfway through.
A plan you can read
The architecture and milestones, in plain words.
Step 03
We work in short cycles with something usable at the end of each one. You see progress the whole way, so problems get fixed while they are small.
Working software, not status reports
Real features you can try at each milestone.
Step 04
Every release is tested the way people will really use it. Integration bugs and slow spots show up before your users find them.
Releases you can trust
Test plans and automated checks on every release.
Step 05
Only stable builds go live. We release step by step, so a problem is caught early and can be rolled back quickly.
You own what we build
The code, cloud and app store accounts are yours.
Step 06
Once it is live, you choose: a full handover with documentation, or we keep building with the same team and the same rhythm.
We stay after launch
Support and new features, or a documented handover.
Before you commit
Some problems need a simple rule, not a model. Tell us the task and we will say which it is.
Technology and tools
What you get
You keep everything needed to run, check and change it.
In your own repository, so any engineer can read and change them.
Real examples that check accuracy before each change goes live.
Where your team approves, corrects and sees what the AI did.
What each task costs to run, so there are no surprises as volume grows.
How to get started
Choose the one that fits where your product is today. If you are not sure, we will tell you plainly on the first call.
Build a product
We scope the work, agree a fixed price and deliver in milestones. Best for MVPs, new systems and AI projects with a clear goal.
You leave with a clear scope and plan
Add engineers to your team
Our engineers join your standups, repo and sprint board on a monthly plan. Best for teams that need to ship before they can hire.
Scale up or down as your roadmap changes
Book a call
We look at the task, tell you whether AI is the right tool, and sketch a small first version you can test.
Tell us about it
A few lines on the form is enough.
Talk it through
What you are building, where it stands and what you need next.
A clear next step
Scoping, a trial sprint, or an honest “you don’t need us”.
Will AI replace my team? It takes the repetitive part of their work. People stay in charge of decisions and exceptions, and get time back for work that needs them.
FAQ
Common questions about this service. Pick one to see the answer.