From a workshop to integrating AI into your daily work.
We assess where you stand, agree the plan, then learn and build with your team. Four stages; each leaves something the organisation keeps.
The path in four stages
In stage 1, before anything is built, we agree with you what will be measured, so the result is compared with your own starting point, not with a promise.
What you get at each stage
- Stage 1
Audit
How the organisation works today, and where it already uses AI.
What you get
- Interviews and a short survey
- A review of 3 to 5 real processes
- A rating from 1 to 4 on six dimensions: processes, data, skills, risks, rules, leadership
Length
2 to 3 weeks, together with stage 2
Who takes part
The owner or director, 3 to 6 process owners, IT staff or whoever manages the data
- Stage 2
Gap analysis
Where you are today, where you need to be, and the plan to get there.
What you get
- The gap: the distance between where you are today and where you need to be
- The 3 to 5 use cases worth starting with, each with its baseline measure
- The plan: which use cases, in which order, who is responsible for each, what each should change (hours, errors, turnaround)
- The approved tools, safe and independent of any vendor, with the rules of use
- A light risk register and the roadmap for the first 90 days
Length
Plus 1 to 2 weeks for the plan
Who takes part
The director and the owners of the chosen use cases
- Stage 3
Training
The workshop and the microcourses, adapted to your work. This part of the offer is ready today.
What you get
- The workshop: half a day or one day, 8 to 20 people, on your own work, using invented material
- From the workshop: where AI helps, where it is risky, and a draft of the rules of use
- Role-based training in the platform: over 5 hours per person plus coaching, with records you keep (the AI literacy evidence)
- One or two AI mentors per team
Length
6 to 12 weeks; the workshop half a day or one day
Who takes part
The workshop: managers and the people who will use AI. The training: everyone in the chosen teams, with the mentors leading from within
- Stage 4
Implementation
The first use cases, built with your team and measured against where you started.
What you get
- The first 1 to 3 use cases, built with the team, back office first
- Each measured against the starting point of stage 1
- Monthly coordination: the measures reviewed, new use cases from the mentors, rules and tools kept current
- New staff trained in the platform
Length
Monthly, for 6 to 12 months
Who takes part
The director and the mentors; betaPlan coordinates, the organisation runs it
In the workshop we build only examples together; the real implementation comes in stage 4.
Workshops for a team
The workshop can be booked on its own. Paid; price on request. Workshops are booked for a group. Tell us the field, the team and the time you have.
| Format | Length | Who, how many | What you leave with | Ask |
|---|---|---|---|---|
| The working day | 1 day | 8 to 20 people, mid-career | A task of yours, rebuilt so you can use it from Monday | Ask about this format |
| The deep format | 2 days | Senior professionals and team leads | A written review method for your field | Ask about this format |
| The Cybersecurity Seminar | 4 one-day episodes | Your organisation, on your premises | An aggregate report; the instructor training | Ask about this format |
| A workshop tailored to your team | As needed | Your team, on your premises or ours | Work built on your own documents and tools | Ask about this format |
All the formats in detail, and who each is for
The working day
Six hours, one field, one room. You rebuild a task you actually do, in a form you can put to use from Monday. Mid-career professionals, 8 to 20 people.
- One field per cohort
- Bring your own AI tools
- You keep what you build
The deep format
The working day, plus a second day on professional judgement: where the model is confidently wrong in your field, how to spot the mistake, and how to set out your reasoning in writing. Senior professionals and team leads.
- How the model fails in your own field
- A written review method
- A closing review of the exercise, not a qualification
The Cybersecurity Seminar
Played out on your premises around an invented company. Includes the instructor training and an aggregate report.
- Four episodes: the door and the inbox, the shared drive and the printer tray, the ransom note tabletop, and the supplier and the press
- Six sector versions and a client kit
- Office props and an isolated lab; no real system is touched
- Aggregate report only; results for groups of fewer than ten are not shown
- The participant who falls for a trap is never named or recorded
- No certificate of competence
A workshop tailored to your team
When none of the formats suits you, tell us about the team, the tasks and the time you have, and we prepare a proposal that confirms the content and the right materials.
- Your documents, your tools
- One written proposal before anything is booked
What you leave the workshop with
- A task from your everyday work, rebuilt so you can do it yourself, without us.
- A written method for checking the output, in the vocabulary of your own field.
- A record of what you did unaided, kept separate from what you did with assistance.
Who it is for
Working professionals. Mid-career and senior. Pharmacists, accountants, lawyers, inspectors, engineers. People who are already accountable for the results of their work.
Small teams and businesses. A whole practice, department or firm in one cohort, on your own documents rather than on exercises.
Why this matters to your organisation
- The risk
- Your staff already use AI, often with personal tools and no written rule. A client contract is pasted into a free chat assistant; an invented figure enters a report the organisation signs. The responsibility lies with the organisation, not the tool.
- Source: MIT NANDA, The GenAI Divide: State of AI in Business, July 2025.
- The duty, where it applies
- If your organisation develops or uses AI systems within the scope of the EU AI Act, including an Albanian organisation whose AI output is used in the EU, Article 4 of the Act requires it to take measures that support the AI literacy of the staff who work with those systems. Since the amendment of July 2026 this has been a duty on the organisation to take measures, not to guarantee a result: it requires no certificate and does not fall on the individual professional.
- Source: European Commission, AI literacy questions and answers.
- What you get
- You get a written rule for the tools your staff use, a verification procedure the team applies to your own documents, and a training record of who learned what and when: evidence of the measures taken.
- Source: the European Commission advises internal training records, AI literacy questions and answers.
When you invite a cohort
Invite and support a cohort
A partner can nominate participants, coordinate timing and help resolve operational blockers. Programmes are for each profession, taken in order. An invitation does not mean the participant consents to assessment, to disclosure of a qualification, or to processing unrelated to the programme.See only what the cohort needs
The partner sees only what it needs: the progress of the cohort as a whole, and organisational information. Private work samples, assessor notes and individual qualification outcomes are not shared with the partner by default. The learner decides whether a qualification is disclosed. Any further disclosure of data requires a separate agreement, in line with the law.Qualification stays outside partner control
A partner can commission a programme but cannot change assessor scores, remove assessment evidence or override a qualification outcome. Assessor independence is preserved and any exceptional intervention is recorded.
Request a proposal
Tell us about your organisation and we will prepare a proposal for it.