The work in plain language
Try the task. Question the result.
An AI workshop is a live, practical session in which a team learns and tests a method for using AI on a defined task. Paloren offers half-day and full-day formats for companies of any size. A half day concentrates on a core workflow; a full day adds practice, comparison and revision. Both need approved tool access, safe example material, a practical assessment and an agreed follow-up. The agenda is tailored to learner experience and does not include unscoped production deployment.
Half day, timetable agreed
Focused workshop
A shared starting point and one priority task
- Reviewed task template
- Independent practice result
- Follow-up trial plan
Full day or agreed split sessions
Applied workshop
More practice, multiple roles or a second workflow
- Two practice workflows
- Peer review notes
- Team application plan
01 / 04AI workshops
Half day or full day: choose the depth
A half-day AI workshop works best when the group shares a starting point and can focus on one repeatable task. It covers the basic method, supervised practice and an independent attempt without trying to explore every tool. A full-day workshop allows more time for comparison, a second task and revision after peer feedback. It does not automatically mean advanced content. Beginners may need the extra practice, while experienced users may prefer a tightly scoped half day. Choose by the output learners need to produce, the preparation required and how much feedback they need, not by the number of features on a syllabus.
- Half day: one bounded task and review
- Full day: additional practice and revision
- Split delivery: time to test between sessions
02 / 04AI workshops
A practical agenda with time to think
The workshop agenda begins with a short baseline task and a discussion of appropriate use. Learners then compare a vague request with a brief that supplies purpose, source material, constraints and an output format. Guided practice follows using a fictional customer enquiry and a supplied policy excerpt. Participants check whether the draft actually follows the source before revising it. A full day can add a second exercise, such as converting approved meeting notes into an action summary. The closing assessment asks each person to apply the method without copying the facilitator. Breaks and discussion time are part of the agenda, not spare capacity.
- Baseline, demonstration and guided practice
- Source checking followed by a revised draft
- Independent task and personal application plan
03 / 04AI workshops
Prepare a room where everyone can practise
Workshop preparation covers people, access and example material. Learners need a suitable device, an approved account and enough familiarity with the selected application to sign in. We confirm available functions before finalising exercises and provide a simpler alternative when a feature cannot be used. The organiser identifies any accessibility needs, conflicting experience levels or restricted data categories. Fictional records are the default: a believable task does not require actual customer names or private correspondence. Onsite sessions need a usable display and connectivity; remote sessions need protected learning time and an agreed way to share work without exposing other windows.
- Sign-in check before the workshop
- Fictional policy and customer scenario
- Accessible materials and a screen-sharing protocol
04 / 04AI workshops
Leave with a method, then test its usefulness
The workshop output is a reviewed working method, not a promise that every future draft will be correct. Learners record the task brief, sources, checks and conditions that require escalation. A manager selects a low-risk workplace trial where the method can be used under normal review. At the agreed follow-up, the team examines completed examples, obstacles and correction effort. A faster first draft is not an improvement if it creates more checking downstream. Keep the trial small enough to understand what changed. Requests for automated actions, system connections or broader policy work are recorded separately so a training day does not quietly become an implementation project.
- Reviewed task template and checking checklist
- Workplace trial with a responsible reviewer
- Follow-up review of quality and correction effort
What you take forward
Not just a session. Something to work with.
Tailored agenda
Pre-session access checklist
Fictional exercise pack
Task and review templates
Assessment feedback
Follow-up trial review
- 01
Select a task
Identify the recurring work and the person who judges its quality.
- 02
Prepare the environment
Confirm accounts, devices, safe examples and participation needs.
- 03
Run the workshop
Demonstrate, practise, inspect errors and assess an independent attempt.
- 04
Review application
Check the workplace trial at the follow-up agreed in the scope.
Before we begin
Your questions.
Straight answers.
Is a full day better for beginners?
It can be, if learners need more supported practice. It can also be too much if the task is narrow or participants cannot protect the time. We use the learner brief to choose a pace and may suggest split sessions with practice between them.
Can we cover all the major AI tools?
A short comparison can explain the choices, but hands-on practice works best with a small, agreed toolset. Covering every interface leaves less time to learn the task. Tool-specific workshops are available when your organisation has already selected ChatGPT, Claude, Copilot or Gemini.
Can we bring our own work?
Yes, after the organiser confirms it is appropriate to share in the approved environment. Sanitised extracts or fictional equivalents often preserve the learning problem without exposing real records. Do not bring credentials, private customer files or restricted material to an open exercise.
Does a workshop include building an automated system?
No production build is implied. Participants may draft instructions or practise a workflow within approved tools. Connecting systems, granting operational permissions and deploying automation require a separate implementation scope with testing and ownership. The workshop can identify those requirements for a later decision.
Your team. Your next chapter.