Operational discovery

How your company actually works — from the people who do the work.

ProcessOre interviews everyone in a function, keeps every word, and builds the map of how the work really happens from what they said. On top of it sits the plan: what to stop doing, what to fix, and where AI will pay for itself — written by people who have put AI into companies and watched which parts survived.

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Why you don’t already know this

Every way of finding out has the same flaw. It never reaches the person doing the work.

Ask the manager. You get the org chart, and how the work was designed to happen.
Read the process document. You get how it worked on the day someone wrote it — usually the person who has since left.
Mine the system logs. You get the click that closed the ticket. Never the four days of chasing before it.
Bring in a consultant. One person interviews eight people, remembers half, and hands you a summary of a summary.
Paste it into an AI chat. You get what was written on the internet — not what happens at your desk on a Tuesday.

The people doing the work know exactly how it runs. Nobody has asked all of them, properly, and kept every word. That is the whole gap.

What AI does here, and what people do

The part no human can do

Interview every person who touches the work — not a sample. Ask every follow-up. Keep every sentence, and build the map from what was actually said rather than from anyone’s summary of it. A person can do this well for one interview. Not for forty, and not without forgetting.

The part no model can do

Say what will work. The plan — what to stop, what to fix, what to automate, where AI pays back and where it quietly won’t — is made by people who have built the automations and put AI into businesses, and know which ones survived contact with reality. That is experience. A model has memory.

How it runs

01
Pick one function
Purchasing, support, onboarding, billing. Not the whole company — one function, done properly.
02
Everyone who touches it gets a link
Fifteen minutes on their own phone, in their own words, when it suits them. No workshop. Nobody taken off the floor.
03
You get the plan
Ordered, with the evidence each item rests on, and the number: the hours going into work that should not exist.

What you walk away with

The map

How the function actually runs, built from what people said — one level at a time, and never from anyone’s summary.

Where your team disagrees

The steps people describe differently from each other. That is where the cost hides, and where every other method looks away.

What to stop doing

Each one a hypothesis, with the evidence behind it and a named way to check it — so nothing gets removed that turns out to be a control.

What to automate, in order

With what each one returns, and what not to automate — and why. The second list is the one that saves the money.

One item from a plan, as it arrives

step / refundslast verified 18 days ago

Refund above €500 goes to a manager for approval

“I’ve been here two years and I’ve never seen one come back rejected. I just send it and wait.”
Support agent · 4 of 4 people who touch this step agree

Deletion candidatea hypothesis — verify against the last 200 refunds in the finance system

Example. Every item in a plan carries the sentence it rests on, who said it, and when it was last checked.

What every person we interview is told

The ProcessOre team reads transcripts; your employer receives aggregated findings and unattributed quotes.

In those words, before anyone answers anything. It is a contract term. It is also the reason the answers are true.

Design partners

Taking on the first design partners now

The first engagements go to companies willing to be first, on founding terms. You get the full deliverable and a direct line to the people building the system — at this stage, what you run into is the roadmap. We ask for candour while there is still time to act on it.

One engagement at a time. That is a real limit, and it is why the attention is real.