The position we run on
Most organisations have already bought AI. Very few have actually adopted it.
The licences are provisioned, the announcement went out, and six months later a small handful of people are using it properly while everyone else went back to how they worked before. The gap is not the tool, and it is not enthusiasm. It is that nobody showed people how the work is actually done differently.
Howll Training closes that gap in two directions at once: the decision layer at the top, and the doing layer across the teams.
We are deliberately tool-agnostic — we will train your people on whichever platform you have already committed to, and tell you honestly where it is weak. Every facilitator uses these tools in real client work every week, which is why the material reflects what is true this quarter rather than what pitched well eighteen months ago.
How it runs
Scope it. Train against real work. Measure adoption.
Three phases, one engagement. Nothing starts until we know which licences you are already paying for.
Scope the real gap
Which licences you already pay for, who is actually using them, and where the work is being held up. We build the session plan from your stack and your workflows, not a generic deck.
Train against your work
Sessions run on your tools with your material. People bring live tasks and leave having done them differently. Executives get the decision layer; teams get the doing layer.
Measure the adoption
Licence utilisation, hours returned, and what shipped as a result. Reported for leadership so the training has a number attached rather than a satisfaction score.
Inside the team programme
Six sessions. Six things that ship.
The shape of the private team programme. AI training sessions draw on the same material, compressed to the tool and the roles in the room.
The Honest Landscape
A demo-led tour of what the current tools do and do not do, calibrated to your sector. Teams leave knowing when to reach for AI and when not to.
Context, Not Prompts
Why prompt tricks do not survive a model update. Participants build a shared context library against your real documents and standards.
Mapping the Busy Work
We map the team's week and pull out the repetitions worth killing first. By session end, one is automated.
Building the First Agent
From chatting with AI to AI doing the work. Each participant leaves with one agent handling a real task from their role.
Judgment, Risk and Governance
Data handling, hallucination detection, and how to brief legal and risk without sounding naive. The session most training skips.
Rolling It Out
Capstone. What it automates, what it connects, what it returns — presented to leadership with the numbers attached.
Receipts, not testimonials
Proof you can check yourself.
Named client references are available on request where the engagement allows. Publicly, here is proof that does not need our word for it.
We run this in our own business
Howll's own operations run on the automations we teach — including a live machine-payments store where AI agents buy from us directly. We teach what we actually operate.
Taught by operators, not trainers
Every facilitator delivers AI work for clients that week. If they stop practising, they stop teaching here. That is the quality bar.
Tool-agnostic on purpose
We hold no reseller margin on Copilot, Gemini, ChatGPT or Claude. That means we can tell you where your chosen platform is weak, which a vendor's own trainer cannot.
Who you work with
Your AIO is Josh or Dirk. Not a junior.
Josh Horneman and Dirk Butter have founded, run, and exited businesses. They have sat in the operator's chair, not just the advisor's.
Both now work as fractional AI officers for Australian SMEs. Governance, quick wins, and a roadmap tied to revenue. Whoever is your AIO, you get a founder.
- NVIDIA Inception partner
- $250k revenue unlocked for a 10-person services firm
- 1,300 hours a year saved on one workflow
- Works across mining, construction, professional services
Individuals and small teams
Not ready to bring the whole organisation?
We run occasional open sessions for individuals. They exist mainly so a leader can test the teaching before committing a department to it, and what you pay is credited against a larger programme if you go ahead. Ask what is coming up.