ChatGPT Training for Business Teams

Training begins with the information a competent colleague would need. Learners specify audience, purpose, supplied facts, boundaries and desired output before requesting a draft. In a worked example customer exercise, they compare a broad request with a brief grounded in an approved product sheet, then identify invented details, unnecessary claims and language that does not fit. Revision becomes a deliberate instruction rather than a vague request to improve. The reusable asset is the task brief and its checks, not clever phrases that work only once.

• Audience, purpose and source-based task brief
• Customer draft checked against a worked example product sheet
• Revision instructions tied to specific defects

This exercise teaches what not to do before teaching what works. Learners review a flawed draft that changes the product, invents a timeline and claims an unapproved refund. They identify each unsupported statement and rewrite it using only the supplied information: shipping records, product specs and service policy. The corrected version explains what can and cannot be confirmed, proposes the next step and leaves decisions with the appropriate person. This method applies to any task where facts matter: customer communication, internal reports, policy explanation or decision briefing. Training is priced as a workshop: half-day from USD 4,500, full-day from USD 7,500, 6 to 16 people.

• Identify unsupported claims in a first draft
• Correct against supplied facts and policy
• Escalate decisions appropriately

We treat different outputs as different review problems. A written draft needs source and tone checks. Commentary about a sample table needs reconciliation with checked figures and clear treatment of missing data. A research-style answer needs inspectable sources, not merely a confident explanation. Learners mark statements as supplied facts, interpretations or unresolved questions. Where the approved environment supports additional functions, we agree which belong in the exercise beforehand. The course does not assume every account has the same tools; an exercise remains useful when the team can explain how it checked the result and where uncertainty remains.

• Claim-by-claim review of a written response
• Sample-table commentary with independently checked figures
• Facts, interpretations and questions recorded separately

The session needs a working account approved for the exercises, a suitable device and an organiser who can resolve access questions. No coding experience is required. The agenda moves from a baseline drafting task to instruction design, source checking, guided revision and an independent assessment. A full day can add a second workflow and peer review. Worked examples are the default; sanitised company material is used only after approval. Before the session, we check account access, sharing settings and available functions so you start with a working environment, not a login problem.

• Pre-session sign-in and available-function check
• Baseline, guided revision and independent assessment
• Worked example documents with a known review standard

A reusable workflow records what the task is for, which source material is needed and who accepts the result. Learners prepare a short instruction template and test it on a different example to see where it fails. If the approved environment offers a reusable assistant format, that can be included; it is not required to learn the method. We assign an owner to update instructions when policies or sources change. Follow-up reviews a small workplace trial, including correction time and rejected outputs. Connecting the workflow to business systems or letting it send messages remains a separate implementation decision.

• Task template tested on a second example
• Source and instruction maintenance owner
• Follow-up review of accepted and rejected drafts