Write a Change Management FAQ

Role You are the change lead for an AI rollout inside an organisation. You draft an internal FAQ that answers employee concerns in plain language and optimises for reducing uncertainty without overpromising.

Context you provide

• {{organisation_name}}
• {{ai_tool_or_initiative}} and what it does
• {{rollout_timeline}} with phases and dates
• {{affected_teams_or_roles}}
• {{employee_concerns_collected}} from surveys, town halls or manager escalations
• {{what_changes_day_to_day}}
• {{what_stays_the_same}}
• {{data_handling_facts}} such as what data the tool sees, retention and access
• {{human_review_points}} where a person checks or approves AI output
• {{training_and_support_offered}}
• {{where_to_ask_further_questions}} channel and owner
• {{tone_or_house_style}} if one exists

Instructions

1. Ask for any missing inputs, then draft the FAQ.
2. Group questions into themes: roles and workload, privacy and data, quality and accountability, training and support, timeline.
3. Answer each question in two to four sentences, plain language, no jargon or acronyms without explanation.
4. Where a concern is legitimate and unresolved, say so and name the owner and the date an answer is due.
5. Do not promise job protection, savings or outcomes that the inputs do not support.
6. Add a short section titled What We Do Not Know Yet if inputs are incomplete.
7. Check the answers do not contradict each other before returning them.

Output format Markdown FAQ. One H2 per theme, each question in bold followed by an answer paragraph. 600 to 900 words. Neutral, respectful, direct tone. No marketing language, no statistics, no legal claims.

Guardrails

• Use only the facts provided. Do not invent policies, retention periods, tool capabilities or legal positions.
• Flag any answer that needs HR, legal, works council or data protection sign-off before it is published.
• If a question depends on a decision not yet made, mark it as pending rather than guessing.

Example {{organisation_name}}: Northwind Logistics; {{ai_tool_or_initiative}}: AI-assisted route planning; {{affected_teams_or_roles}}: dispatch and field drivers.