The New
Literacy
One hour. Find out whether your team uses AI - or is actually fluent in it.
We learn about the language of LLM's. We use AI to find out how you all talk to AI. We work out how to all talk the same language.
A must for every organisation serious about wanting their people to talk to AI the same
A shared language for AI across the organisation
The vocabulary and shared understanding that lets everyone — from board to front line — talk coherently about AI.
A practical framework for building AI capability
A structured approach to AI fluency as an ongoing organisational capability, not a one-off training exercise.
Clarity on what AI fluency actually means for different roles
What different people in the organisation need to know, be able to do, and judge — and what they don't.
The New
Literacy
AI Fluency
The new literacy - and how to build it
Most organisations conflate two things that are genuinely different: knowing about AI, and being fluent in it. Knowing about AI is table stakes. Fluency is the ability to work with AI productively, direct it effectively, evaluate its outputs critically, and know when to trust it and when to override it. That's judgement - and judgement is what this talk is about.
Tom gives audiences a clean, shared vocabulary for AI that works at every level - from individual contributors to the board. Getting everyone talking the same language is often the most immediately valuable thing an organisation can do, and this talk makes it possible.
This talk leads directly to the Communicating & Framing AI workshop — consistent, confident language about AI for internal and external use.
Go to Workshop ↓Communicating &
Framing AI workshop
Participants develop the language your organisation will use to communicate about AI - to staff, clients, press, regulators. Clear, consistent messaging that holds up under scrutiny.
The workshop surfaces the communication challenges specific to your situation - the questions already circulating, the anxieties, the misconceptions. You leave with a framework built for your actual situation.
Logistics
Content mix
What happens in the room.
Five phases, from diagnosis to deliverable. A communications framework tested in the room — not slides to refine later.
Communication audit
20–25 minWe surface what's already being said — the official narrative, the informal conversations, the anxieties. Understanding the current state is the starting point for building something better.
Audience mapping
35–45 minStaff need reassurance. Clients need confidence. Regulators need rigour. We map each audience's needs and identify what effective communication to each one requires.
Framing & language
55–65 minParticipants draft and test the core statements and framings that will underpin all AI communication — tested for accuracy, clarity and resilience under challenge.
Hard questions
30–40 minWe surface the questions you'll be asked — by staff, clients, the press — and build confident, prepared responses. No question should catch you off guard.
Framework & rollout
20–25 minThe agreed language becomes a practical reference guide for anyone communicating about AI, with a plan for rollout across the organisation.
The workshop leads to the AI Literacy Transformation programme — genuine, sustained AI capability across every level of the organisation.
See the programme ↓The Transformation programme builds genuine, sustained AI capability across every corner of the organisation - and keeps improving as the technology evolves.
Content mix
Foundation & language
Shared vocabulary and framing across the organisation. Everyone starts from the same understanding of what AI is, what it isn't, and what it means for their work.
Role-specific capability
Targeted capability-building for different roles — the specific AI knowledge and judgement each group actually needs. Practical fluency, not generic literacy.
Practice & integration
Embedding AI fluency into day-to-day work through coaching, practice and peer learning. Moving from understanding to genuine habit.
Sustain & evolve
Internal champions, learning pathways and governance that sustain AI literacy as capability evolves. The programme doesn't end; it becomes self-sustaining.