Five-day professional program. Approximately 25-30 training hours. Final agenda, language and delivery arrangements are confirmed in the proposal.

Course Overview

Apply practical quality checks to AI-generated business content.

This proposed five-day program develops a structured approach through case analysis, facilitated discussion and practical working documents. Participants adapt the learning to their organizational context and produce a final ai output evaluation rubric.

Learning Outcomes

Assess output requirements and quality criteria.

Evaluate factual accuracy and evidence verification.

Apply a structured approach to completeness, consistency and reasoning checks.

Develop recommendations for bias, confidentiality and escalation decisions.

Prepare and present a ai output evaluation rubric.

Who Should Attend

Business leaders, functional managers, transformation teams and professionals evaluating AI applications.

Relevant professional experience is recommended. Participant responsibilities and prerequisite knowledge are reviewed during scoping.

Training Methodology

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

Learning assessment may include a baseline discussion, review of working documents and a final presentation. Completion requirements are confirmed in the proposal.

Course Tools and Templates

Output requirements and quality criteria working brief – proposed exercise document.

Factual accuracy and evidence verification working brief – proposed exercise document.

Completeness, consistency and reasoning checks working brief – proposed exercise document.

Bias, confidentiality and escalation decisions working brief – proposed exercise document.

AI output evaluation rubric – proposed exercise document.

Delivery Requirements

Classroom, live online and in-house formats can be arranged by agreement. Venue, platform, language, timetable, trainer and materials are confirmed in writing.

A laptop may be needed for planning and analytical exercises. Required software, access and prerequisite skills are agreed before delivery.

Course Customization

The proposed five-day agenda can be adapted to the participant group, sector and organizational objectives. Dates, fees, delivery suitability and final activities are confirmed in the written proposal.

Course Outline

Proposed sequence, subject to the agreed training proposal.

Day 1 – Output requirements and quality criteria

Define the context, assess current practices and identify the key decisions relating to output requirements and quality criteria.

Practical output: Output requirements and quality criteria working brief

Day 2 – Factual accuracy and evidence verification

Interpret sample information, compare suitable approaches and document assumptions for factual accuracy and evidence verification.

Practical output: Factual accuracy and evidence verification working brief

Day 3 – Completeness, consistency and reasoning checks

Apply structured tools to an anonymized case and develop recommendations for completeness, consistency and reasoning checks.

Practical output: Completeness, consistency and reasoning checks working brief

Day 4 – Bias, confidentiality and escalation decisions

Review responsibilities, risks and follow-up measures through a practical exercise on bias, confidentiality and escalation decisions.

Practical output: Bias, confidentiality and escalation decisions working brief

Day 5 – Output evaluation workshop

Integrate the course learning into a practical assignment on output evaluation workshop; present recommendations and an implementation roadmap.

Practical output: AI output evaluation rubric