AI Workshops
Help your team use AI safely and practically.
Private AI workshops for mixed teams of staff, managers, and founders who want clearer AI habits without turning the session into a generic keynote.
This offer is about practical AI use and safety: better prompting, better checking, confidentiality, source awareness, human review, and sensible habits for real daily work. There are two formats: a focused 2.5-hour training session and a fuller 5-hour company workshop. Workflow mapping is a separate add-on when the team wants to turn the session into a practical next-step plan.
Before
Staff use AI differently, or avoid it entirely because the rules are unclear.
Outputs are copied without enough review or source checking.
Prompts are improvised every time, so results are inconsistent.
AI examples feel generic and disconnected from the team’s real work.
After
The team has practical examples tied to its own daily tasks.
Staff understand what should not be put into AI tools.
Common prompts and review habits are more repeatable.
Managers can see where AI is useful, where it needs guardrails, and what should be automated later.
Choose the right level
The right format depends on the size of the team, the examples needed, and how much preparation or follow-up the session requires.
Focused AI Training Session
€800 / 2.5 hours
A practical training session for one small team that needs safer day-to-day AI habits without a wider process review.
Client time: 2.5 hours live with the team.
Best for a small team, founder-led business, or department starting to use AI more seriously.
Focused on daily tasks, safer prompting, review habits, and useful examples.
Does not include workflow mapping or a written implementation plan.
Delivered in person in Malta or remotely.
Company AI Workshop
€1,500 / 5 hours
A fuller company workshop for mixed teams that need shared rules, stronger examples, and a short readout after the session.
Client time: 5 hours, usually split across preparation, live workshop, and follow-up or readout.
Best for mixed teams where staff, managers, and founders need the same rules.
Includes practical examples, shared guardrails, review habits, and a short next-step readout.
Workflow mapping can be added separately if the team wants a more specific AI or automation opportunity map.
Typical outputs
What a buyer can expect to get
The work is scoped around a practical first version, not an open-ended transformation programme.
How the work runs
Step 1
Understand the team
We identify the kind of work the team does and where AI is already being used or avoided.
Step 2
Work through examples
The workshop uses practical examples around drafting, summarising, organising, checking, and follow-up.
Step 3
Set guardrails
We cover confidentiality, source checking, human review, and when not to use AI.
Step 4
Define next steps
The team leaves with clearer usage patterns. Where workflow mapping is added, the readout also identifies one or two sensible AI or automation opportunities.
Good fit
The team wants practical AI use, not a public masterclass.
Managers want staff to use AI more consistently and safely.
There are real daily tasks and documents to use as examples.
The business wants shared AI habits before committing to automation.
Probably not the right fit
You want a generic AI keynote with no connection to your actual workflows.
You need full automation built during the workshop; that belongs in a scoped sprint or platform build.
You want AI to make decisions without human review.
You need legal, financial, medical, or compliance advice rather than practical AI training.
Relevant experience
AI-assisted document work
Built systems for extraction, translation, summarisation, classification, review, and chronology building.
Work-first approach
AI is treated as part of the real work system, not a standalone gimmick or generic productivity trick.
Practical SME framing
The focus is small-team adoption, safer habits, and repeatable examples rather than enterprise AI theatre.
Make AI useful before it becomes messy
Use the project note form to describe the team, the right training format, and whether workflow mapping should be added.