Role Automation Intelligence · /reɪ/

You wrote the job ad.
We built the AI that does it.

Not a slide about what AI could do. The role, getting done — live, on your data, with the receipts.

RAI reads a company’s open vacancies, researches the org until it knows it better than the org chart does, and stands up a working AI agent for each advertised role. Then it shows you, with proof, exactly which hires you no longer need to make.

RAI reads its open vacancies, maps the org, and builds the live AI workforce — role by role.

ensek-agent · live on the warehouse
segment the customer book and show where direct-debit collection is failing hardest
verified · liveStandard segment = 16,174,517 accounts (58.5% of book); DD failure peaks in the Lower-value band at 11.2%. Ran live against 27.6M rows — full trace attached.

The difference

Everyone answers “what can AI do for us?” with a deck.

We answer with a running system — built from your own job ads. Artifact, not analysis. Nobody argues with a thing that works.

The usual

A readiness assessment

Workshops, maturity matrices, a 60-slide “potential value” deck. Months later, nothing runs — you still have to imagine it.

RAI

The work, already done

A live AI agent per role, doing the actual job on your real data — queries shown, numbers traceable, and the human-only parts named honestly.


How it works

Company in → the finished article out.

Research the roles

Harvest every vacancy and its full job description, the org chart, the regulator, the competitors — triangulated until the picture is real, not generic.

Decompose to the spine

Each job breaks into Assets → Skills → Role, every line cited back to the ad — and each skill tagged: what AI does, what it codifies into automation, what stays human.

Asset → Skill → Role → Job → Team → Dept → Org → Sector

Compose from the library

The research decides the right system for that role — dashboard, ask-anything analyst, console, automation — assembled from a library that grows with every company we build.

Stand up a live agent per job

A named AI for each advert — the live version of the hire. It queries real data, builds the dashboards, writes the board reports, and answers anything in plain English.

Prove it — then the headcount delta

Every step is traced; every figure is falsifiable. Then the verdict: you advertised X, Y and Z — here’s what AI absorbs, you need only A, B and C. Call us.


The live AI version of the hire

One named agent. The whole role.

Not a chatbot bolted on — a grounded agent that lives in the company’s data and knows its job.

Ask anything

English → correct live SQL

Schema-grounded and sanity-checked on the first attempt. A real analyst, not a menu of pre-baked buttons.

At a glance

Dashboards & drill-downs

The KPIs that role actually owns — with hot-topics and click-through to the underlying rows.

Board-ready

Reports & charts, exported

A movable agent that builds heat-maps and full board packs you can download — off live data, every time.

Remembers

Shared org memory

Every agent is linked by a memory that consolidates nightly — knowledge that compounds and survives people leaving.

Receipts

Every answer carries its trace

The chat, the tool call, the exact query, the data it ran on, and the checks it passed — all browsable. The proof is the product: don’t take our word, read the audit trail.

Built honest, on purpose

Real, or it doesn’t ship.

The guardrails aren’t a promise — they’re enforced in the pipeline. A cheaper model may run a task only if it still clears them. Quality is the floor, not the hope.

no faking live data only every figure falsifiable SQL sanity-checked what stays human, named full trace, always

Where real data can’t be shared, RAI synthesises it from the research — realistic, and clearly labelled as synthetic. Honesty about what’s real is what makes the proof worth anything.

The full scope — no hiding it

Automate to the floor. Train to the ceiling.

One pass over a company’s roles drives both halves of the transformation — from the same capability spine.

RAI · the machines

The AI workforce

Every automatable skill becomes a live, named AI agent doing the actual job on real data — with the receipts. Fewer hands on the grunt work.

SMART · the humans

Experts, not headcount

What stays human becomes a distilled capability matrix and focused training — so the people who remain get world-class at exactly the work that needs them. Elevate, don’t just cut.

And it’s never one-at-a-time: every company lives at once on its own subdomain — its own intro, its own real vacancies, each opening the best interface to get that role’s work done. See two live now: ENSEK · Fisher Scientific.

The point of all of it

“You wanted to hire three people.
You need one — and me.”

RAI does the build. itsorted does the call — the strategy, the implementation, the humans who stay. You’ve already seen it work on your own org. Now get it sorted.