This isn't training about AI in the abstract.
Each session produces a real deliverable that plugs into the team's communication system. The logic is cumulative: each step builds on the last. By the end, the communication plan isn't left to do — it's done, and up and running.
Five sessions, five verbs.
From understanding to sign-off: each session has a verb that defines the work done in it.
Understand communication diagnosis
Internal and external analysis with AI tools, collaborative teamwork, a validated communication SWOT and the year's three strategic priorities.
Decide goals, audiences and a voice of your own
Clear goals, an audience map, key messages and an institutional tone of voice — and the team's first AI assistant, trained on all of it.
Build content with AI
From bureaucratic language to clear, direct communication: multichannel creation and adaptation, image and video generation, and master prompts by role.
Organise planning and automation
Content pillars, an annual editorial calendar, recurring content, automations that free up time for creativity, and metrics to track.
Sign off the plan, up and running
A full review of the plan built session by session, a definitive workflow — from idea to publication — and criteria for responsible AI use.
By the end, the team takes away:
These aren't training notes. They're working tools, ready to use from day one.
Communication plan
The full strategic document: diagnosis, goals, audiences, messages and channels.
Communication style guide
Institutional voice, tone and language, ready to apply across every channel and format.
Annual editorial calendar
Content planned by theme pillar, channel, frequency and owner.
Its own institutional AI assistant
Customised with the team's context, tone and prompts — so the voice isn't lost along the way.
A prompt library
Master prompts by role, so everyone on the team works with autonomy.
What can't be automated is judgment.
That's why the programme works on the why first — the diagnosis, the voice, the priorities — and the how after: the tools, the flows, the automations. Always with criteria for responsible AI use, and one clear goal: a team that comes out autonomous, not dependent.