Leadership
What managers should decide before employees use generative AI.
Skill InForge Editorial Team · Reviewed 9 August 2026 · 9 minute read
Short answer
Managers do not need every technical answer before teams begin learning. They do need a clear purpose, approved-tool position, information boundaries, human-review standard, escalation route and a way to check whether use is improving the work.
Decide what the organisation is trying to improve
A broad instruction to use AI creates uncertainty. Tie adoption to a small number of business problems or capability goals so teams can make relevant choices.
- Which work is slow, repetitive or inconsistent?
- What quality standard must still be met?
- Where could better capability help, even if a tool changes?
Set information boundaries before prompt guidance
People need to know which tools are approved and what information must stay out of them. Examples should be understandable at the point of work, not buried in technical policy.
- Personal and sensitive information
- Client-confidential or commercially sensitive material
- Unpublished intellectual property
- Information subject to contractual or regulatory controls
Define the human review standard
Generative AI can produce plausible but incomplete or incorrect work. Managers should define who checks the output, what they check and who remains accountable.
- Accuracy and evidence
- Relevance and completeness
- Bias, inclusion and unintended effects
- Tone, brand and professional judgement
Make uncertainty and escalation normal
Responsible practice depends on people feeling able to pause. Give teams a clear route for uncertain, sensitive or high-consequence cases.
- When should a person stop using the tool?
- Who can clarify policy or information handling?
- Which cases need legal, privacy, security or regulatory advice?
Support managers as capability leaders
Managers translate policy into everyday practice. Give them discussion prompts, realistic scenarios and time to review how methods are being applied.
- Ask for evidence of application, not just attendance.
- Review quality and exceptions.
- Update guidance when tools, policies or work change.
This guide provides general workforce-development information. It is not legal, privacy, cybersecurity, regulatory or professional advice. Review sensitive or high-impact uses through the appropriate specialist process.
