Workplace AI Use Policies and Practical Controls

Develop internal AI usage guidance matched to organizational needs and oversight.
Workplace AI Use Policies and Practical Controls - Designed Course Cover
  • Description

Proposed five-day professional program. Approximately 25-30 training hours. Final arrangements are confirmed in the written proposal.

Course Overview

Develop internal AI usage guidance matched to organizational needs and oversight.

This proposed five-day program combines practical case analysis, guided exercises and peer discussion. Participants adapt the course concepts to organizational circumstances and prepare a workplace ai use policy draft.

Learning Outcomes

Assess ai usage context and risk categories.

Evaluate permitted activities and approval boundaries.

Apply a structured approach to information handling and verification duties.

Develop practical recommendations for training monitoring and escalation.

Prepare and present a workplace ai use policy draft.

Who Should Attend

Functional managers, business analysts, AI project coordinators and professionals planning AI-enabled work.

Relevant work experience is recommended. The participant profile, prerequisite knowledge and case complexity are reviewed during planning.

Training Methodology

Facilitated discussion, worked examples, anonymized case analysis, practical exercises, peer review and an applied final assignment.

Learning assessment may include a baseline discussion, review of exercise outputs and a final presentation. Attendance and completion requirements are confirmed in the proposal.

Course Tools and Templates

AI usage context and risk categories worksheet – proposed exercise document.

Permitted activities and approval boundaries worksheet – proposed exercise document.

Information handling and verification duties worksheet – proposed exercise document.

Training monitoring and escalation worksheet – proposed exercise document.

Workplace AI use policy draft – proposed exercise document.

Delivery Requirements

Classroom, live online and in-house delivery can be arranged by agreement. The trainer, language, venue or platform, timetable and required materials are confirmed in writing.

A laptop may be needed for analytical or planning activities. Software availability, licenses and access requirements are agreed before delivery.

Course Customization

The indicative five-day sequence can be adapted to participant experience, industry context and agreed learning objectives. Final dates, fees, agenda, certificate details and delivery arrangements are confirmed in the written proposal.

Proposed Five-Day Course Outline

Day 1 – AI usage context and risk categories

Define the business context, assess current practices and clarify the decisions relating to ai usage context and risk categories.

Practical output: AI usage context and risk categories worksheet

Day 2 – Permitted activities and approval boundaries

Interpret representative information and compare practical approaches to permitted activities and approval boundaries.

Practical output: Permitted activities and approval boundaries worksheet

Day 3 – Information handling and verification duties

Use the course tools in a realistic case focused on information handling and verification duties, documenting assumptions and recommendations.

Practical output: Information handling and verification duties worksheet

Day 4 – Training monitoring and escalation

Review responsibilities, risks and follow-up measures through a practical exercise on training monitoring and escalation.

Practical output: Training monitoring and escalation worksheet

Day 5 – AI use guidance drafting workshop

Integrate the learning through ai use guidance drafting workshop, present the final assignment and propose workplace actions.

Practical output: Workplace AI use policy draft

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