I'm Jake Simeon. I find the repetitive work buried inside your operation and replace it with AI systems that run without babysitting —
Fifteen years running sales, support, and operations means I design automations around how work actually happens, not how a demo says it should.
The expensive work is rarely the hard work. It's the copying between tabs, the re-typing of the same email, the spreadsheet someone rebuilds every Monday. It's invisible on a P&L and it eats entire salaries.
Same job. Two different operations.
Every engagement starts with the same question: where is your team spending time on something that has no judgment in it? Then we take that off the table.
Clinics, law firms, insurance, real estate and auto all run on the same fuel: an enquiry that has to be answered fast, a document that has to be produced, and a follow-up nobody remembers. That is exactly what automation is good at — and exactly where a human still has to stay in the loop.
of US work hours could be automated with technology that already exists today. Not a forecast about jobs — a measure of how much of the working day is mechanical.
McKinsey Global Institute, “Agents, robots, and us,” Nov 2025more likely to qualify a lead by responding within five minutes instead of thirty. Most inbound leads aren't lost to competitors. They're lost to delay.
Oldroyd, McElheran & Elkington, Harvard Business ReviewClick any project to open it. The first two have full case studies — architecture, decisions, and the parts that broke.
You should see something working inside the first two weeks. If an engagement can't produce that, it's the wrong engagement.
I sit with your team and trace what actually happens, step by step, including the parts nobody documented. We time it.
Week 1You get a ranked list of every automatable step scored by hours saved against effort to build. We start with the boring, obvious one.
Week 1A working version of the top workflow, running on your real data, in your real tools. Narrow on purpose so it can be trusted.
Weeks 2–4Documentation, a loom, and a session with the people who'll run it. You own it outright. No lock-in, no monthly hostage fee.
OngoingScope varies with complexity. Every number below is a starting range, confirmed in writing before anything begins.
A working session where we map one process end to end and I tell you, honestly, whether AI is even the right answer for it.
One high-value workflow, designed, built, tested on your real data, and handed to your team working.
For teams that keep finding new things to automate and want someone accountable for the whole system, not one project.
I build the things on this page myself. Not wired together in a no-code tool — written. A live Messenger SaaS on Node and Express. A cross-platform Electron app running a real-time audio pipeline into streaming LLM output. Python scrapers that end in formatted workbooks. Full-stack, end to end, solo.
What I'm not is someone who arrived at this from a computer science degree. I spent fifteen years running sales, support, and operations — selling SaaS into regulated healthcare and legal buyers, managing distributed teams across time zones, owning delivery for hundreds of contributors. Every one of those roles carried the same tax: hours of work that produced nothing but a record that work happened.
That's the combination you're hiring. I know what happens when an automation quietly fails on a Friday, because I've been the one explaining it to a customer on Monday. So I build with human checkpoints where judgment matters, guardrails where the model can't be trusted, and honest limits instead of a demo that falls over in week three.
I work with startups who need leverage before they can afford headcount, and small businesses where the owner is still personally doing three jobs. Based in the Philippines, working US hours.