Company in
Point us at a company — its website and its careers page. Nothing else required from them.
The architecture · company in → AI workforce out
Drop a company in.
Get its operation back, automated.
We don't ask what a company does — we work it out from what it has already told the world. Then we build the AI that runs it, reason where judgement is needed, and hand back only the humans that truly remain.
The pipeline
Seven moves from a website to a working AI workforce.
Every vacancy — current and historical
Today's openings show what they're hiring now; years of past postings reveal every function and output the company has ever defined. That's the real shape of the operation.
spine of the researchDeep research
Competitor structures, LinkedIn and the org chart, filings and annual reports, news and announcements — triangulated until the picture is real, not generic.
Reverse-engineer the org
From all of it we build a blueprint of the entire operation, decomposed down the capability spine — every asset, skill, role and how they connect.
Asset → Skill → Role → Team → Dept → OrgFill roles — AI builds the system
The bulk of the work becomes programmatic, codified automation that just runs — deterministic, durable, no AI in the loop per task. Cheapest and most reliable.
AI builds itAI reasoning — only where it's needed
A live, grounded agent handles the genuine-judgement slices: ambiguity, synthesis, language, the board report. Used sparingly, on real data, with every figure traceable.
AI runs itHuman remains
What's left is the irreducible core — accountability, relationships, regulated sign-off, the calls a machine shouldn't own. Fewer people, each doing only what truly needs a human.
human keeps it
Photography · Unsplash
The split — what the blueprint decides
Every task lands in one of three buckets.
This is the whole point. Once the operation is mapped, every task is sorted — and that sort is the answer to "what can AI do for us?"
AI builds a system
Programmatic
Codified automation that runs itself. No model in the loop per task — deterministic and durable.
the bulk · cheapestAI used where needed
Reasoning
A grounded agent for the judgement slices only — on live data, every number traceable. Used sparingly.
a thin slice · on demandWhat's left is human
Irreducible
Accountability, relationships, regulated sign-off. The people who remain get the work that's truly theirs.
fewer · expertThe capability spine
One structure runs the whole thing.
Capture it once and it drives everything — the automation, the reasoning, and the training for the humans who stay.
Asset→Skill→Role→Job→Team→Dept→Org→Sector
The output
"You wanted to hire X, Y and Z."
Here are the systems we'd build, the thin slice where AI earns its keep, and the only humans you truly need — running on a realistic replica of your own data. anaigent does the build; itsorted does the call.
Get it sorted →