Our methodology
Before we write any code,
we learn your business.
We want to know where data goes missing, what gets rebuilt manually every week, and what your team has quietly learned to work around. That's where every engagement starts.
Discovery call
A 30-minute call. No sales pitch. You tell us what's broken, what's slow, what your team dreads doing every Monday. We listen, ask questions, and give you an honest read on whether we can help. If we're not the right fit, we'll say so.
An honest answer on whether we can help and what that might look like.
Business mapping
We map everything: where your data lives, where it goes, where it disappears. We talk to your team, not just your leadership. By the end of week one, we know exactly which workflows are costing you the most in time, errors, and stress.
A prioritised list of the top automation opportunities, with honest effort and impact estimates.
Foundation work
This is where we fix things. The integration that's been broken for months. The report someone rebuilds manually every Friday. The workflow that falls apart whenever someone's on holiday. We automate the expensive stuff first, in open-source tools you own from day one.
Your highest-priority workflows automated and running in production, with monitoring.
AI, when you're ready
Now we talk about AI. An LLM on clean, reliable data does remarkable things. An LLM on messy, disconnected data just sounds confident while being wrong. We make sure you get the former, and we help you tell the difference.
AI features that work because the data underneath them is solid.
Handoff
We write the docs, record the walkthroughs, and train your team on every tool we've introduced. Our goal is to make ourselves unnecessary. Most of our clients can extend, debug, and evolve the system on their own. That's the point.
Runbooks, docs, recorded walkthroughs, and a team that knows how to operate what we built.
Ready to start at Phase 00?
The discovery call is free and takes 30 minutes. We'll tell you honestly whether we're the right fit. If not, we'll say so.