§01 · AI automation
Automation worth building
We build what gains from being built, and nothing more.
Most automation projects do not fail in the technology. They fail in the selection. The wrong things get automated, for the wrong reasons, and a year later someone is maintaining a system nobody asked for. That is what we are here to avoid. Before we build anything we ask a simpler and harder question: should this be built at all?
We never start with tools. We start with a walkthrough of how the work actually moves through the company, with the same four questions as always: where the work begins, what repeats, where errors pass unnoticed, and what exists but goes unused. The answers become a list of candidates. Most get crossed out. What remains is the small part that truly should be built, and then we also know why.
We start small. The first version gets the least possible access and few users, and capabilities open at the pace you confirm they deserve it. It is slower on paper and faster in reality, because what gets built rarely needs to be redone.
We also plan for AI being wrong sometimes. That is not a footnote, it is a design principle: where an error costs something, a human sits in the flow, and the system is built so it shows what was reviewed and by whom. You should be able to trust the result without having to believe in it.
Once it is running we do not disappear. Automation that nobody maintains stops working quietly, so we update, monitor and fix in the background. If you work in a regulated industry, that is our home ground, ask us about it.
Every incoming contract is read the same day it lands. You get what matters. Terms, commitments, notice periods, and a mark at the places where a human needs to make the decision. The rest you never have to read.
Every Monday a summary sits in your inbox: what your competitors said, released and filed for in the past week, from public sources. The analysis you would otherwise have paid an analyst for, every week, without hiring anyone.
Ten years of documents that suddenly answer when spoken to. Ask the question, what did we promise the client, what did the report say last time, where does it say that. The answer comes with the source pointed out, instead of an hour of digging through folders.
Sometimes the answer to the mapping is that nothing should be automated yet. Then we say so. An honest no costs us an engagement and saves you a year.
Thirty minutes about your workflows. No slides, no salespeople, just the questions above, asked for real.