Use generative AI at work: a prompt and review workflow you can trust

Choose a task where you can judge the answer

Begin with a bounded task such as turning fictional meeting notes into an action list. You can compare every action with the supplied notes. Asking for an unsupported business strategy or an unfamiliar technical answer is harder to evaluate, especially for a beginner.

Use an organisation-approved tool and data policy. For practice, replace names and commercially sensitive details with fictional information. Avoid uploading customer records, passwords or private documents merely to make a prompt more detailed. Access to a chatbot is not permission to share workplace data.

Write a prompt that makes missing information visible

Specify the task, who will read the result and the format you need. Tell the tool what it can use as evidence. Ask it to flag missing owners or dates rather than inventing them. This makes a review easier, but it does not guarantee accuracy.

Using only the fictional notes below, produce an action table with task, owner, due date and source note. Use “not specified” where a detail is missing. Do not create commitments. Audience: our project team. Keep wording concise. Notes: Riya will review the draft on Friday. The team needs a budget estimate; no owner was agreed.

Review the output against the evidence

In the example, Riya is the owner of the draft review. The budget estimate has no agreed owner. “Friday” needs a calendar date before it becomes a reliable deadline. A polished table can disguise these gaps, so compare each field with the original notes.

NIST identifies confabulation among generative AI risks. An output can sound confident while including unsupported information. For factual claims, open the original source and check that it supports the statement; a plausible-looking citation is not enough.

• Check names, numbers, dates and commitments.
• Look for omitted caveats and invented details.
• Review tone and whether the reader can act on the result.
• Record changes you made before sharing the final version.

Separate drafting from actions with consequences

Generating an email draft and sending an email are different steps. Likewise, suggesting a spreadsheet formula and updating a production workbook require different safeguards. Keep approval points before external communication, financial decisions or changes to important records.

Automation and AI agents can combine multiple steps, but more autonomy also increases the need for clear permissions, logging and recovery. For your first workflow, keep inputs small and inspect the output before it moves into another system. Do not connect every tool simply because the integration is available.

Show the value of your process

Save a fictional input, the prompt, the first draft and your corrected final version. Explain which mistakes you caught and where AI helped with structure. This demonstrates judgement as well as tool use. DigiGenAI Pro develops responsible workflows; DigiOffice Pro provides useful context for applying reviewed outputs in reports and office documents.

Common questions