The work in plain language
Learn it together. Use it with judgement.
AI training for business is practical learning that helps employees use AI tools appropriately in their work. Paloren offers half-day and full-day workshops, department programmes, executive coaching and training in ChatGPT, Claude, Claude Code, Microsoft Copilot and Gemini. Companies of any size can discuss a programme, including globally distributed teams. Each engagement is scoped around learner needs, approved access, safe examples, practical assessment and follow-up. Training builds people capability; production integration and ongoing system support are separate scopes.
How your team learns
AI Workshops for Business TeamsA useful day starts with a clear task.Department AI Training ProgrammesThe same tools. Different working days.Executive AI Coaching for Business LeadersMake room for the questions you need to ask.AI Literacy Training for EmployeesKnow what to ask. Know what to question.AI Champions Training ProgrammeGive the helpful person a supported role.The tools your team uses
ChatGPT Training for Business TeamsA clearer brief. A draft worth reviewing.Claude Training for Business TeamsRead closely. Keep the evidence in view.Claude Code Training for Development TeamsKeep the change small enough to understand.Microsoft 365 Copilot Training for TeamsMake the work clearer, not just the document shorter.Google Gemini Training for Business TeamsKeep the original meaning in the next draft.01 / 04AI training
Choose training by the work that needs to change
Business AI training starts with a task, not a list of software features. A team preparing customer replies needs different practice from a director evaluating an investment or a developer reviewing a code change. Paloren helps you choose the starting point by looking at current confidence, approved tools and the work people repeat. A small company can begin with a focused workshop. A large organisation can organise cohorts around roles, locations and access requirements. The aim is a usable learning brief: who attends, what they practise, what good work looks like and who helps them apply it afterwards.
- Map recurring tasks and their reviewers
- Group learners by responsibility and experience
- Choose a task that can be practised safely
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Compare workshops, programmes and coaching
A half-day workshop gives a team room to learn a core method and practise it on a narrow task. A full day adds comparison, revision and a more substantial exercise. Department programmes connect several sessions with practice between them, so managers can resolve the obstacles that only appear back at work. Executive coaching is human-led learning around a leader's decisions and personal working habits. Tool-specific training is appropriate when the platform has already been chosen. These are different ways to organise learning, not a ladder everyone must climb. We agree the format and follow-up before preparing the session materials.
- Half-day and full-day workshop comparison
- Department practice with manager review
- Private executive learning and decision rehearsal
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Prepare accounts, examples and participation
AI training needs an environment where people can participate without improvising access or sharing sensitive material. Before a session, identify the approved application, check that each learner can sign in and confirm which functions are available in that environment. Use fictional documents or approved, sanitised extracts for exercises. An account alone does not establish permission to upload company information. For distributed teams, agree time zones, accessible materials, breaks and a way to ask questions privately. Learners should know the task, the expected output and the review criteria before opening the tool. Unresolved access issues become preparation actions, not pressure to bypass policy.
- Account and device readiness check
- Fictional exercise pack with known answers
- Participation plan for locations and accessibility
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Assess the work people can now do
Training assessment should examine decisions as well as outputs. Can the learner choose an appropriate task, supply necessary context, identify an unsupported statement and explain when human help is needed? We use a baseline exercise and a later independent attempt to make those differences visible. The follow-up reviews what happened when the method met ordinary work: missing information, time pressure, reviewer feedback and tool restrictions. Attendance and confidence are useful context, but neither proves business value. Agree a modest trial with an owner, a review date and a quality measure. Expand learning where evidence supports it, and revise the method where it does not.
- Baseline and independent practical assessment
- Reviewer feedback on a bounded workplace trial
- Follow-up actions with named owners
What you take forward
Not just a session. Something to work with.
Learner needs brief
Account preparation checklist
Safe practice materials
Practical assessment rubric
Reusable task instructions
Agreed follow-up review
- 01
Describe the learners
Share team roles, experience, approved tools and the tasks you want to improve.
- 02
Choose the format
Agree learning objectives, preparation, live practice and assessment before scheduling.
- 03
Practise and review
Work through safe examples, then assess an independent attempt with feedback.
- 04
Apply the learning
Review a bounded workplace trial and agree what needs further practice or support.
Before we begin
Your questions.
Straight answers.
Do you train small companies as well as enterprises?
Yes. Training can be scoped for a small company, a department or a larger enterprise programme. Company size does not determine the learning level. We look at participant needs, available time and the tasks that justify a tailored engagement before recommending a format.
Can you train teams across countries and time zones?
Yes. Paloren works with teams globally. Remote sessions can be planned around participant locations and working hours, including separate cohorts where needed. We agree language, accessibility, onsite arrangements and any travel requirements during scoping, along with how colleagues in different locations will practise and receive follow-up support.
Do we need to choose an AI tool first?
Not always. AI literacy or a focused workshop can help a team frame its requirements before choosing. Hands-on tool training needs approved access to the selected environment. We confirm that preparation rather than asking participants to create personal accounts during the session.
What should we send in a training enquiry?
Send the number of learners, their roles, current tools, preferred format and a brief description of the work they want to improve. Avoid attaching confidential examples initially. We can agree how to prepare suitable practice material once the scope and information-handling requirements are clear.
Your team. Your next chapter.