Demonstration · not a client result
AI-literacy training what the deliverable looks like
The structure of the deliverable for AI-literacy training, how it is produced and how you accept it, with a live specimen generated from the matching free tool’s worked example. Synthetic or permitted data only.
What this page isDemonstration
- Practice
- 03 Training & capacity building
- The deliverable
- 4 sectionsProduced in 5 stages, each with a review point
- Data
- Synthetic or permittedNot a client result
Demonstration of methodSynthetic or permitted data.Not a client result.
The deliverable, section by section.
What you receive, and what each part is for.
Needs assessment
By role and by the AI systems each group uses.
DemonstrationRole-based modules
Practical and short.
DemonstrationEvidence pack
Attendance, assessment and materials records.
DemonstrationRefresh plan
When and how to update the training.
DemonstrationA live specimen.
Generated from the worked example in AI policy template: synthetic data, real method. Change the inputs in the tool to see your own.
Demonstration · synthetic data · not a client result
Example NGO: AI acceptable-use policy (draft for discussion)
1. Purpose
This policy sets out how staff may use AI tools safely, lawfully and in line with our mission.
2. Allowed uses
- Drafting and editing text
- Summarising documents
- Translation
3. Data that must never be entered
- Personal data about clients or beneficiaries
- Health or other sensitive data
- Bank and payment details
- Passwords, keys and credentials
4. Approved tools
[Decision open]
5. Human review
A person reviews every AI output before it is shared outside the organisation.
6. Disclosure
We disclose AI use when it materially shaped an output.
7. Accountability and training
- The Director of Operations is accountable for this policy.
- Staff complete AI training before using approved tools.
8. Incidents
[Decision open]
9. Review
This policy is reviewed every twelve months, or sooner when law or tools change.
Decisions for the workshop
- 01Which tools are approved, and who approves new ones.
- 02Where staff report errors, leaks or harmful outputs.
Watch points
- Strength: The core data protections are in place.
A draft for discussion, not legal advice. Have it reviewed against the laws that apply to you before adoption.
How it is produced, and accepted.
Each stage ends in something you review; acceptance is tested against criteria agreed at the start.
- 01
Learning need
Agree the staff groups and AI systems in scope.
Review pointLearning needs and outcomes agreed in writing.
- 02
Curriculum
Design modules for each group.
Review pointCurriculum and materials reviewed before delivery.
- 03
Practice
Deliver with practical exercises on your tools.
Review pointPractice exercises tested with a sample group.
- 04
Assessment
Assess and record results.
Review pointAssessment results shared with the sponsor.
- 05
Transfer
Hand over the evidence pack and refresh plan.
Review pointTransfer plan and materials handed over.
How proof is labelled
- DemonstrationsDemonstrations use synthetic or permitted data.
- Documented experienceDocumented experience is attributed to the organisation that held the work.
- Measured resultsMeasured results are added only once they have been measured; none are shown yet.
What needs to move forward?
Tell us the decision, the challenge or the opportunity. We reply with a scoped approach, a named principal and a fee before any work begins.
No charge to submit an enquiry.