Automate the whole business.
Six builders. One platform. Your team builds it.
We teach them how, and stay around for what comes next.
Think. Draw. Click to publish.
The only thing riskier than not automating is automating badly.
A CEO at a major UK bank once told me: “Implementing AI in a bank is a CEO career-killer.”
He's right. Well-known enterprises are quietly rolling back aggressive AI plans. Most pilots disappear. The pattern repeats because the architecture is wrong: AI orchestrating everything, costs scaling with usage, decisions hidden inside a probabilistic model nobody can audit.
Worse: businesses are being led down the garden path. AI companies measure success in tokens consumed. Some had public leaderboards rewarding teams who burned more. They have quietly walked those back. The model rewards inefficiency. Give every user a chat window. No architectural thought. Prompt freely. Watch the bill rise.
Hotchilli is built the other way around. Use AI only where it earns its place — 10%. Use deterministic, CPU-bound execution for the rest — 90%. A Parser walks the diagram. The diagram is the runtime. Change the diagram, the runtime changes. Less, not more. Less risk. Lower cost. Your team builds it. Safe in a regulated environment.
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.
AI is the seasoning, not the meal.
The architecture removes the career-ending downside before the upside is even on the table.
The people who already run the process build the automation.
Not developers. Not consultants. Not a transformation team you bring in and watch leave.
The system rots because nobody on the customer's team built it, owns it, or can maintain it.
The people who already run the process build the version that runs itself. They know the work. They've done it for years. They own it. Now they own the version that runs itself.
The platform handles the 90%: the repetition, the integrations, the running. Your team keeps the 10% only they can do: judgement, exceptions, relationships, growth. Their time gets used on the work that needs them.
- 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 me what problems your team has that they don't have time for. We'll pick the one that hurts most and build it together. First session is on me. Sixty minutes. No obligation.