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Practitioner route

AI for Workplace Productivity

Use AI to support everyday work while keeping the checks that make the output useful.

Instructor-led learning with demonstrations, practice and a checked work product.

Practical skills

What you will learn

  • Create a research or document workflow with sources and review points.
  • Use AI to help with spreadsheet analysis and meeting follow-through, checking figures and decisions.
  • Build a repeatable task checklist and compare time, quality and review effort with the starting process.

Applied learning

A task you can explain and check

Develop a repeatable route from meeting notes to a checked action log.

Demonstrate a repeatable workplace task and show the checks applied to sources, figures and actions against an agreed rubric.

Tools and platforms

Work in an agreed environment

Tools and examples matched to the learning task and the responsibilities of the role.

The quotation identifies the tool or platform and required access after suitability and instructor capability are confirmed.

Instructor-led service

AI foundations and workplace productivity workshop

Give your team a practical starting point with AI. Work through tool choice, clear instructions and result checking, then apply the method to a research, document, spreadsheet or meeting task.

Audience

Employer teams that are new to AI or want a more consistent way to use it in everyday work.

Starting point

  • Everyday computer skills; no coding required.
  • Access to the AI tool agreed for the workshop.
  • A suitable practice task and non-sensitive examples that can be used in training.

Expected work product

Each exercise produces an AI-assisted work product, a checking checklist and instructions for repeating the task.

  • A task brief with an audience and quality standard.
  • A reviewed draft, analysis or action log using agreed practice information.
  • A repeatable set of instructions and checks.
  • A short plan for applying the method and measuring its usefulness.

Delivery format

Instructor-led workshop with demonstrations, guided practice and feedback. The task can focus on one function or bring a team together around a shared workflow.

Sample workshop agenda

  1. Task — Choose a recurring task and record the starting process and quality standard.
    A task brief and starting measure.
  2. Demo — See how to choose a tool, give clear instructions and check an AI-assisted result.
    A worked example and checking routine.
  3. Practise — Create or improve a work product using approved practice information.
    A draft document, research summary, spreadsheet analysis or meeting action log.
  4. Test — Check facts, sources, figures and decisions; revise the result where needed.
    A checked work product and review notes.
  5. Apply — Write down the steps and approval points for using the method at work.
    A reusable task guide.
  6. Measure — Compare quality, effort and usefulness with the starting task.
    A practical follow-through plan.

Check the work

Complete a task from a short brief, explain the instructions used and show the checks applied before the output is used.

Tool and platform fit

The quotation names the tool or platform and required access after suitability and delivery capability have been confirmed.

Request a team workshop quote

Practical learning

Task → Demo → Practise → Test → Apply → Measure

Start with a useful task, practise the method, test the result and plan how to apply and measure it at work.

  • Understand the task and define a useful result.
  • Demonstrate the method and its limits.
  • Practise with safe examples.
  • Test the output and explain the checks.
  • Apply the method to approved work.
  • Measure quality, effort and usefulness.

Get a scoped quote

Request a team workshop quote

Tell us about your team, its starting point and the work you want to improve.

Request a team workshop quote

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info@aiventurex.com

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Your written quotation confirms the learning objectives, scope, tools and access, teaching arrangements, format, duration and price before you commit.