Process audit, not a vision workshop
We sit inside your operation and map where the hours and errors actually are. The output is a ranked list of automation candidates with the math attached.
01What you get
We sit inside your operation and map where the hours and errors actually are. The output is a ranked list of automation candidates with the math attached.
The top candidate becomes a working system on real work, measured against numbers we agree on up front. If it doesn't pay, you've learned that cheaply.
Sometimes the answer is a product that exists, not a build. We'll tell you which — we make money either way, so the advice stays honest.
What the AI may decide alone, what it escalates, what it must never touch — written down before anything ships. Auditable, explainable, reversible.
02In practice
Which document flows automate safely, and which need a human forever.
Explore → IndustryWhere AI helps the floor — and where it's a sensor problem, not a model problem.
Explore → IndustryDrafting and review assistance that respects privilege and process.
Explore →03Grounded in
04How we work
We sit inside the process and watch how it runs today — the steps, the exceptions, the judgment calls, and every tool it passes through.
Not a mockup and not a deck. The first version you can actually use, in weeks rather than quarters.
The system goes into your environment and connects to what you already run. It takes the routine path and hands the rest to a person.
We agree what better means before we start — time, errors, throughput — and report against it. The next process begins once the first one has earned it.
05Questions we hear
Both, in that order and quickly: a short audit with ranked candidates and math, then a working pilot on the top one. The deck is a by-product, not the product.
Common — usually it was a chatbot bolted on, not a process rebuilt. Picking the right process and wiring AI into the actual workflow is most of the outcome.
The audit is fixed-scope and fixed-price, and it ends with numbers. You'll know what to automate, what it should save, and what the pilot costs before committing to anything.
Tell us about the work your team dreads. We'll come back with what a working system would look like — and what it would take to prove it.