Keynotes & conference speaking
Sessions for conferences, all-staff days, association meetings and public audiences. Sets the shared frame and creates the appetite for the deeper work.
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For schools, institutions and communitiesYour staff, students, members or residents are already using AI. What most of them are missing is not enthusiasm or caution — it is the practical literacy to use it well and the judgment to know when to question it. That is what we teach, at population scale.
Most institutions we meet already have something written down. What they do not have is a staff room, a classroom or a service desk where people can explain what AI is good for, what it gets wrong, and what they personally should not put into it.
A policy nobody can apply is not governance. Capability is what closes the gap between the document and the behaviour.
The test of a session is not whether people enjoyed it. It is what they can do on Monday that they could not do on Friday.
What they can do on Monday that they could not do on Friday.
In plain language, to a colleague or a parent — including why it sounds equally confident when it is right and when it is wrong.
Frame a task properly and get output worth having, instead of the generic result that made them write it off the first time.
Know what must never go into a prompt — student records, patient details, personnel matters, anything confidential to your organisation.
Check for invented fact, quiet error, missing context and bias — and verify proportionately to what is at stake.
Identify the moment a decision has outrun their own ability to check it, and know exactly who to escalate it to.
Understand that approving an output they could not evaluate is not oversight — and act accordingly on work that carries their name.
Programs teach the SAFE AI Use Framework™ — Structure, Accelerate, Filter, Empower — so a whole staff or student body ends up with the same four questions and the same shared vocabulary, rather than six departments each inventing their own rules. See the framework.
Most institutions start with one format and add others as the need becomes clearer. You do not have to buy a program to begin.
Sessions for conferences, all-staff days, association meetings and public audiences. Sets the shared frame and creates the appetite for the deeper work.
Hands-on sessions where people work through their own real tasks against the four pillars. This is where the learning outcomes above actually get built.
For the people who have to set the rules: what user-level governance means in practice, what it cannot cover, and where your existing policy has gaps.
Multi-session programs for a group that moves through the progression together — informed, to capable, to discerning — with practice between sessions.
Accessible sessions for mixed-confidence public audiences — older adults, youth, workforce programs, library patrons. Built on AI Without the Panic.
Materials and preparation so your own staff can keep running sessions after we leave. The point is that the capability stays with you.
The underlying capability is the same everywhere. What changes is the stakes, the vocabulary and the examples we teach it through.
K-12 and higher education — teaching staff, administrators and students, with academic integrity and age-appropriate use handled directly.
Government agencies, healthcare organisations and public services, where a confident wrong answer can reach a member of the public.
Accessible AI literacy for mixed-confidence populations, including people who have been left out of every previous technology wave.
Small teams doing significant work with limited capacity, who need practical judgment rather than a compliance regime.
Members whose professional obligations do not disappear because a tool drafted the work. Emphasis on verification and escalation.
Employment services, adult education and civic initiatives helping people enter or re-enter work where AI fluency is now assumed.
Training a hundred people is a program. Training everyone, every year, as staff turn over and students arrive, is a system. Licensing exists so the second one does not depend on our calendar.
Programs are built for mixed-confidence audiences from the start — people with no technical background, older adults, people returning to work, people for whom English is a second language.
We teach people how to use AI well. That means AI literacy, responsible-use capability, user-level governance and the education that makes both stick. It is human capability work.
We are not an enterprise AI transformation consultancy. We do not do model risk management, technical architecture, vendor selection, procurement, or system-level compliance engineering. When an institution needs that, it needs a different kind of firm, and we will say so rather than stretch to fit.
We can teach responsible-use policy principles and help your people apply them. That is a different thing from certifying your organisation against a standard, and we keep the distinction explicit in every proposal.
You are not committing to a program by asking a question. Most conversations start with someone unsure what they even need.
Who your people are, what is already happening with AI, and what prompted you to look. A rough picture is enough.
We work out what would actually help — which may be smaller than you expected, or a different format than you asked for.
Format, audience, learning outcomes, dates and cost, with the boundary above stated plainly so nothing is assumed.
We run it, then leave you the materials and the internal capability to keep going without us.
The communities most exposed to bad AI outcomes are often the least able to pay for training. Employers, foundations and municipalities can fund cohorts for schools, neighbourhoods, older-adult groups and workforce programs.