AI automation, room for better work.
Automations that take the repetitive work off your team, with a person checking what matters.
- One pilot
- first, expanded on real results
- A person
- checks what matters
- In writing
- data, access and scope, agreed first
The busywork takes care of itself.
“We need a customer portal for our team.”
An enquiry gets sorted, passes the routing rules, and lands with a person for review.
Manual input
Repetitive work consumes attention and creates delays.
Controlled automation
Software does the repeat steps; people handle the odd ones out.
Useful action
Information arrives ready for a decision, response, or next step.
Build
Useful automation, from input to action.
Choose a capability
Different starting points. Built around your business.
Give busywork a route.
Repeat tasks that run on their own, from start to finish. For example: catch an enquiry, check it’s complete, and send it to the right team.
These previews are illustrative. Our published client projects so far are websites. See the work →
What we automate for ourselves.
We don't have a client automation case study to show you yet. We do run our own business on these.
- 01
Motion graphics from code
We write our motion graphics as code, then render them. Edit a line, get a new cut.
- 02
Gmail automation
Routine inbox handling runs on its own. A person still reviews anything that needs a reply.
- 03
Lead generation
Finding and qualifying prospects runs as a workflow. A person decides who we approach.
- 04
Customer outreach
Follow-ups are prepared and scheduled automatically. A person approves what gets sent.
Delivery
Your call. At every step.
Requirements
We map your repeat work and rank where automation would help most.
Our advice. Your decision.The brief, made clear.
- 01
- The business goal
- 02
- The people involved
- 03
- The current constraint
- 04
- The first useful outcome
What you take forward.
- The working automation, connected to your tools
- Written rules and review points
- What the pilot taught us, limits included
- A plan for monitoring and ownership
Built in from day one.
- Plain rules first, AI second
- A person checks what matters
- Approved data and tools only
- Test, track, improve
Questions
The details worth knowing.
Where do I start with AI?
Start with a look at your workflows. We find the repeat work, spot where AI would help, and write down the risks and where a person should check.
What kind of automations do you build?
Document processing, inbox sorting, reports, WhatsApp flows, and assistants that answer from your own approved data.
Will AI replace our team?
No. The goal is to remove repetitive steps, not people’s judgment. Your team still handles the odd cases and the big decisions.
Do you work with our existing tools?
Yes. We build around the tools you already use, with a backup plan for when one of them fails.
Does every automation need AI?
No. Simple checks and actions often work best as plain rules. AI earns its place in jobs like reading text, pulling out information or drafting a reply.
How do you handle business data?
Before we build, we agree which data, access and outside services the automation can use. Please don’t send sensitive live data in your first message.
How do we know a pilot is ready to expand?
We agree what a good result looks like, then check real examples, odd cases, how often a person had to step in, and any tool failures. That tells us whether to improve it, expand it, or stop.