The work in plain language
Learn the task, not the toolbar.
Paloren runs hands-on AI workshops for business teams, built around tasks you choose in advance. Give your team a working session (3.5 to 6.5 hours), not another AI presentation. We build hands-on workshops around work you want to improve, then help people try, check and refine the results themselves. A half day gives a team a focused method to take back to work. A full day makes room for deeper practice, different scenarios and individual feedback. We prepare the exercises and access requirements with you, so the session starts with the work rather than a login problem. You leave with reusable methods and an agreed next step, not just a slide deck.
What this can change for your team
- A quicker way to tackle a task your team repeats
- Confidence from doing the work, not watching a demo
- A method people can use again the following week
Focused workshopHalf day (3.5 hours), timetable agreed
A shared starting point and one priority task
- Reviewed task template
- Independent practice result
- Follow-up trial plan
Applied workshopFull day (6.5 hours) or agreed split sessions
More practice, multiple roles or a second workflow
- Two practice workflows
- Peer review notes
- Team application plan
01 / 04AI workshops
Choose the output, then the time.
A half day (3.5 hours, from USD 4,500) teaches 1 core method with supervised practice. A full day (6.5 hours, from USD 7,500) adds a 2nd workflow and peer review. We choose by outputs, preparation needs (3-5 days pre-work) and feedback time required.
How we make this work
If one task is slowing the team down, a half day can teach the method, give supervised practice and finish with an independent attempt. If people need comparison, a second task or revision after peer feedback, a full day buys that room. More hours do not automatically mean advanced content. Beginners may need extra practice, while experienced users may prefer a tightly scoped half day. We choose by the output learners need to produce, the preparation required and the 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 working agenda, not a feature tour.
We start with a baseline task and a comparison: a vague request versus a brief that supplies purpose, source material, constraints and output format. Guided practice uses a worked example customer enquiry, so people check whether the draft follows the source before revising it.
How we make this work
Paloren starts with a short baseline task and a discussion of appropriate use. Learners compare a vague request with a brief that supplies purpose, source material, constraints and output format. Guided practice then uses a worked example customer enquiry and supplied policy excerpt, so people check whether the draft follows the source before revising it. A full day can add a second exercise, such as turning 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
We clear the obstacles before people arrive.
Learners need a suitable device, an approved account and enough familiarity to sign in. We confirm available functions before finalising exercises. The organiser identifies accessibility needs and mixed experience. Worked examples are the default: a believable task does not require actual customer names or private correspondence.
How we make this work
Preparation covers people, access and example material. Learners need a suitable device, an approved account and enough familiarity to sign in. We confirm available functions before finalising exercises and provide a simpler alternative when a feature is unavailable. The organiser identifies accessibility needs, mixed experience or restricted data categories. Worked examples are the default: a believable task does not require actual customer names or private correspondence. Onsite sessions need usable display and connectivity; remote sessions need protected learning time and a safe way to share work without exposing other windows.
- Sign-in check before the workshop
- Worked example policy and customer scenario
- Accessible materials and a screen-sharing protocol
04 / 04AI workshops
Leave with a method and a test plan.
Learners record the task brief, sources, checks and escalation conditions. A manager selects a low-risk workplace trial where the method can run under normal review. At the agreed follow-up, we examine completed examples, obstacles and correction effort.
How we make this work
The workshop output is a reviewed working method, not a promise that every draft will be right. Learners record the task brief, sources, checks and escalation conditions. A manager selects a low-risk workplace trial where the method can run under normal review. At the agreed follow-up, we examine completed examples, obstacles and correction effort. A faster first draft is not an improvement if it creates more checking downstream, so the trial stays small enough to understand what changed. Requests for automation, system connections or broader policy work are recorded separately, rather than turning training into an unscoped build.
- Reviewed task template and checking checklist
- Workplace trial with a responsible reviewer
- Follow-up review of quality and correction effort
What you take forward
What you leave with
Tailored agenda
Pre-session access checklist
Worked example 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.
| Stage | What it changes |
|---|---|
| Select a task | Identify the recurring work and the person who judges its quality. |
| Prepare the environment | Confirm accounts, devices, safe examples and participation needs. |
| Run the workshop | Demonstrate, practise, inspect errors and assess an independent attempt. |
| Review application | Check the workplace trial at the follow-up agreed in the scope. |
The next move
What would make a focused day useful for your team?
Tell Paloren about the team and the work. We will send a training proposal within two business days and reply to your questions within one business day.
- First reply
- From the team, within one business day.
- What to bring
- The problem, the systems involved and what should work better.
- What happens next
- Paloren turns it into a working brief. The team reviews it.
Before we begin
Questions we get asked, answered with numbers
Is a full day better for beginners?
Not always. A half-day (3.5 hours) is enough to learn one method and practise it twice. A full day (6.5 hours) adds a second workflow, comparison and revision, which beginners can find tiring. When the task is narrow we suggest a half-day plus a 60-minute follow-up two weeks later.
Can we cover all the major AI tools?
We can compare ChatGPT, Claude, Copilot and Gemini in about 30 minutes, but hands-on practice works best with one or two tools the team is allowed to use. Covering four interfaces in 3.5 hours means nobody learns the task. Tool-specific workshops exist for each of the four.
Can we bring our own work?
Yes, and it is the best version of the day. Bring 2 or 3 real tasks per person, sanitised where they contain customer data. The organiser confirms what can be pasted into the approved environment before the session; credentials and restricted records stay out.
Does a workshop include building an automated system?
No. A workshop (3.5 hours or 6.5 hours) is practice, not implementation. If the day surfaces a workflow worth automating, that becomes a separate scope, typically USD 15k to 60k over 3 to 8 weeks, with testing and an owner.
Can you deliver the workshop onsite and remote?
Yes. Remote sessions run in your working hours and onsite delivery is available worldwide with travel charged at cost. Either way, we confirm accounts, devices, available functions, accessibility needs and safe worked examples before the session, so the team starts with a working environment.
What would make a focused day useful for your team?
