Finding the right work for AI: Spotting, testing and prioritising use cases in your team
A ready-made course you customise for your organisation, with a live session deck and two surveys. You only add the 7 details that are specific to your organisation.
- Length
- 35 min
- Lessons
- 6 lessons
- Frequency
- When a team starts adopting generative AI
- Last reviewed
- 21 Oct 2026
A high-value idea needs staff appraisal text
Try it: this is one of 17 interactive activities in the course.
What's included
Three pieces that work together
Copy once, get everything. Learners prepare on their own, you answer questions live, and the surveys tell you what stuck.
Self-paced course
Short lessons with real workplace scenarios, not walls of text.
- 6 lessons, about 35 minutes
- Scenario, sorting activity, process, tabs and quizzes
Live session deck
An AhaSlides presentation to run after the course, in person or online.
- 10 slides
- Quiz, word cloud, poll, ranking slides
- A closing slide for your contacts
Two surveys
Find out what landed, and whether people use it on the job.
- Post-course feedback, about 2 minutes
- 30-day check-in
- Anonymous by default
- Results feed your next refresher
Learning objectives
At the end of this course, learners can
Each objective and the lesson that covers it.
| ID | Objective | Source | Where it's covered |
|---|---|---|---|
| TO 102.0 | Achieve ≥ 80% on the final assessment | - | Whole course |
| SO 102.1 | Identify repetitive, text-heavy or analysis tasks in your own role that suit generative AI | Best practice | Whole course |
| SO 102.2 | Classify a task as rule-based automation, predictive ML or generative AI and choose the right approach | Best practice | Whole course |
| SO 102.3 | Score candidate use cases on value, effort, data sensitivity and risk of error | NIST AI RMF 1.0 Map function | Whole course |
| SO 102.4 | Run a small, safe pilot and record what worked and what did not | NIST AI RMF 1.0 | Whole course |
| SO 102.5 | Submit a use case through your organisation's request route for approval + your info | Organisation's AI governance; ISO/IEC 42001:2023 | Whole course |
Your part: what a template can't do for you
- Your workplace details: fill in the 7 highlighted fields so the course describes your own policies, contacts and locations.
- Records: record completion in your own LMS or record system.
Course outline
6 lessons, about 35 minutes
Minutes per lesson are an estimate, shared out by page count.
1Spotting AI use cases that deliver real value
3 pages
7 min
Spotting AI use cases that deliver real value
3 pages
2Three types of AI value: automate, assist, insight
3 pages
6 min
Three types of AI value: automate, assist, insight
3 pages
3The discovery canvas and scoring matrix in practice
3 pages
6 min
The discovery canvas and scoring matrix in practice
3 pages
4Judging grey areas
3 pages
6 min
Judging grey areas
3 pages
5Writing a one-page use-case brief and submitting it
3 pages
6 min
Writing a one-page use-case brief and submitting it
3 pages
6Choosing a pilot and its success measures
2 pages
4 min
Choosing a pilot and its success measures
2 pages
Live deck and surveys
10 slides to run live, two surveys to close the loop
Pink slides are interactive. Both surveys are anonymous; pink questions are written for this course.
Post-course feedback: 11 questions, about 2 min
- Overall rating 5 stars
- Relevant, realistic, right length, helpful activities agree/disagree grid
- What was most useful? multi-select
- Confidence before this course, and now 1-5 scale
- Which use case will you brief first? short text
- How confident are you scoring a use case on value, effort, data and risk? 1-5 scale
- Have you submitted a use case since the course? multiple choice
- My team is open to testing AI ideas safely. 1-5 scale
- One thing we should change or add open text
- Would you recommend this course? NPS
30-day check-in
- Have you used what you learned since the course? multiple choice
- How confident are you today? Compare with day 1 1-5 scale
- Do you know where to find the use-case request route? yes / no / not sure
- A moment where the training helped, or where you weren't sure open text
- Which topics should the next refresher focus on? ranking
Results show whether people use the training on the job, not just whether they finished it.
Make it yours
7 fields to fill in, and you're ready
Everything else is done. These are the details only your organisation knows; each one is highlighted inside the course.
- AI request route
{{AI_REQUEST_ROUTE}} - Approved AI tools
{{APPROVED_AI_TOOLS}} - AI help contact
{{AI_HELP_CONTACT}} - Data classification policy link
{{DATA_CLASSIFICATION_POLICY_LINK}} - LMS or record system
{{LMS_OR_RECORD_SYSTEM}} - Survey 1 URL
{{SURVEY_1_URL}}
Show all 7 fields
- Survey 2 URL
{{SURVEY_2_URL}}
FAQ
Common questions
Can I run finding the right work for AI: Spotting, testing and prioritising use cases in your team training online?
Yes. The course is self-paced and online, and the live deck lets you add a live session in the room or online.
How often is this training needed?
When a team starts adopting generative AI, or before a pilot is approved.
Who needs this training?
All staff and team leads in functions starting to adopt generative AI; the live deck doubles as a use-case workshop for managers.
What records should I keep?
Record completion in your own LMS or record system, so you can show who finished the course and when.
Can I edit the content?
Yes, everything. Change the wording, swap scenarios for ones from your workplace, add your logo, or remove parts that don't apply.
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Ready to run it?
Open the live deck to see how the session runs alongside the course and both surveys.