Stage 1Most sit here
Assisted
- You get
- Individuals faster, on tools they already have.
- It breaks
- Inconsistent. Nothing reusable when they leave.
Most enterprise AI stops at the pilot — not because the models are weak, but because nobody can say who owns it, what it may touch, or what happens when it is wrong. We fix that part, and we start where you already are.
Bring the piece of work you most want handed over. No deck, no obligation — and if it is not worth doing, we will say so.
None of these are model problems. All of them are operating problems — which is why more tooling has not fixed them.
An experiment with nobody accountable for the outcome, and no budget line behind it.
All-or-nothing autonomy. Nobody will sign off on software acting alone, so nothing ships.
Cannot say what ran, on what, or who approved it. Fails the first question from audit.
Every use case built from scratch. The second one costs as much as the first.
Five stages. Each delivers value on its own, and each creates the pull to the next. Most organisations we meet are at one or two — and the gap to four is governance, not technology.
Not sure which stage you are on? That is the first twenty minutes. Find out where you stand →
Four engagements, each scoped and priced on its own. Every one produces something you keep whether or not we work together again.
One workflow you want handed over. You leave knowing what it would take, where the approval step goes, what it would be measured against — and whether it is worth doing at all.
Book it →Where you stand on the ladder, which workflows are genuinely worth handing over, what each is worth, and what it will take. Ranked and costed, with a named owner against every item.
Enquire →Your best method captured, tested against real cases and in use across the team — on the licences you already hold. Nothing new to buy.
Enquire →One piece of real work running behind an approval step, with a full record attached and a baseline you agreed before it started.
Enquire →Our largest practice. We find the work worth doing, design how it should be governed, and stay in the room while it is measured.
Two to three weeks. Where you stand on the ladder, which workflows are genuinely worth handing over, what each is worth, and what it will take. Ranked, costed, with a named owner against every item.
For leaders who have been given a number. We choose one unit of work, baseline it honestly, design the change, and report at day ninety what moved — and what actually caused it.
Reference architecture, build-versus-buy, engineering standards and reusable patterns — so the second deployment is cheaper than the first, and every agent can be reviewed by anyone on the team.
Controls, evidence requirements and approval conditions your risk function writes itself. Including independent review of AI systems built by someone else.
That is a real goal, but it has to say which of four sources it comes from — elimination, compression, deflection or prevention. We agree five measurement variables with the sponsor before the first session, capture the baseline before anything changes, and state plainly at ninety days which part of the gain came from the deployment, which from process change, and which from seasonality.
We will not sign a percentage guarantee on work that is never actually handed over. Be careful of anyone who does.
Model quality is not what stops enterprise AI. Trust is. So we build the trust in from the first engagement — and the tools you already own are where it starts.
The stack
The write
job: Order exception — refund write boundary: may draft a refund. May not execute one. gate: immediately before execution approver: shift supervisor, or duty manager the approver sees order ref · customer · value · amount proposed reason, in one line policy band, and whether it is inside it prior refunds in 12 months the full draft note to the customer options: approve · approve with edit · reject · escalate thresholds under band A ............ single approval band B or repeat ........ duty manager only above band B ............ two approvals, second by Finance reversibility: same working day via the order desk retention: 7 years sign-off: Risk ________ Operations ________
Scope, sequence and judgment written down, with explicit stop conditions, the cases it must pass, a named owner and a review date.
What may be drafted and what may be executed, what the approver sees, thresholds, reversibility — with a sign-off line for risk and operations.
Volume, touches, minutes, rework and cycle time, with the capture method and an attribution rule agreed in advance.
Advisory finds the work. Training is how your organisation becomes able to do it without us. Ten programmes by audience — each stands alone, and roughly half of every course is hands-on.
| Code | Programme | Who it is for | Length |
|---|---|---|---|
| ST-150 | Everyday AI, Safely | All staff who use AI tools | Half day |
| EX-100 | Leadership Session | Board, CEO, senior management | Half day |
| LD-200 | The Efficiency Programme | Function and P&L owners | 2 days + 90 days |
| MG-300 | Finding the Work | Middle management, team leads | 1 day |
| PR-400 | The Method Lab | Your subject-matter experts | 2 days |
| EN-500 | Engineering Standards | Engineers, QA, IT security | 3 days |
| RC-600 | Governance and Assurance | Risk, compliance, audit, finance | 1 day |
| HR-700 | Workforce and Change | HR, function heads, comms | 1 day |
| SM-100 | The Working Session | Leadership of smaller companies | 1 day |
| SM-200 | The Month | Smaller companies, with follow-up | 1 day + 3 clinics |
Every course produces something you keep — a policy, a ranked plan, a tested method, a signed approval design. Not a certificate.
We build on Onroll: a marketplace of agents you employ rather than install, with skills you can read, jobs they are allowed to run, and a write that always waits for a person. It meets the stage-four requirements out of the box — and it is one route, not the only one.
A listing shows the role, skills, jobs, model and accounts before anyone joins your team. They sit on your roster. You teach them, pause them, let them go.
Written method you can open, amend and version. A job is what may refund, send, post or publish — and it parks until someone approves.
Your company allowlist, bound per hire by an admin. Operators never pick a model in chat, and approve and reject never touch one.
Advice that can say no.
The people who design the work are there while it is delivered. Implementation and support scale through certified partners.
Bring the piece of work you most want handed over. No deck, no fee, no obligation — and if it is not worth doing, that is what we will tell you.
contact@axonifi.ai