Low-cost automation for growing businesses.
Your team builds it. We teach them how.
No developers. No transformation projects.
Think. Draw. Click to publish.
Automation that pays for itself before the next hire would have started.
Your next hire is going to cost £45K loaded for the year. Recruiting them takes three months. Training them takes another three. By the time they're productive, the role has shifted underneath them.
There is a better way to absorb growth. Train your existing team on a platform that runs the repetitive work for them. They keep doing what they already know. The platform does the rest.
90% deterministic. 10% AI. A Parser walks the diagram your team draws. The diagram is the runtime. AI is the seasoning, not the meal. Predictable bills. Predictable outcomes. Built for businesses that need the work done, not another person to do it.
90% Functional
Deterministic by design. The Parser walks every flow the same way every time. A million times. Same modules. Same path. Same outcome. Auditable. Repeatable.
90% CPU
Most of the work runs on CPU at fixed cost. AI only shows up where it earns its place: voice, judgement, the bits that genuinely need it. 10% GPU. 10% AI.
AI costs that don't scale
As your business scales, your AI bill doesn't. A 200-staff business often spends £100/month on AI inference, not the thousands competing platforms would bill for the same workload.
Lower running costs. Faster automation. Your team owns it.
The people who already run the business build the automation.
Not another hire. Not consultants. Not a six-month project.
The people who already run the work build the version that runs itself. Your bookkeeper. Your ops coordinator. Your customer service lead. They know the work. They've done it for years. They own it.
The platform handles the 90%: the repetition, the integrations, the running. Your team keeps the 10% only they can do: judgement, exceptions, relationships, growth.
Same team. More output. Lower cost per process. Nothing rots, because your people stay involved with what they built.
- Manual process owners do the same work every day
- Bottlenecks live in people's calendars
- New volume needs more headcount
- Knowledge walks out when staff leave
- The platform runs the process; people own the outcome
- Bottlenecks disappear or surface as flow problems anyone can fix
- New volume costs near-zero to absorb
- Knowledge lives in the flow, not in someone's head
We did this in 2012. Same trick. Every process.
A receptionist with no engineering training built a working phone system in 2012, because we'd already hidden everything that didn't matter to her. She drew what she already knew. The system ran it.
Same trick. Every process.
The platform's composite modules absorb the complexity (APIs, databases, AI calls, branching logic) so the person doing the work draws what they already do manually. They don't learn engineering. They draw their process. The platform runs it.
Onboarding new staff in 30 minutes. They don't read a codebase. They read the flow. The flow shows them what the system does, because the flow is what the system does.
I'm not selling a platform and disappearing. I'm building a substrate, training your team to use it, and staying around for what comes next.
What would you automate first?
Tell us what the team does that takes time and doesn't get easier. We'll pick the one that hurts most and build it together. The cost of the platform is less than the recruitment fee you'd pay for the hire you were going to make. First session is on us. Sixty minutes. No obligation.