People are already using AI in day-to-day work.
WAIA is for organisations where AI use is already real, but the operating standard has not caught up.
WAIA is relevant when informal adoption, policy, manager responsibility and evidence are not yet connected.
Use WAIA when these signals are visible.
Local choices are becoming working norms.
Policy exists but behaviour is uneven.
Managers are accountable for outputs they cannot fully see.
Leaders cannot evidence whether guidance changed behaviour.
Training exists but is disconnected from live work.
Adoption is moving unevenly across teams.
Different roles, one shared operating question.
How do we make workplace AI use visible, guided and manageable without turning every use case into a major programme?
AI use is spreading, but the organisation lacks a clear operating picture.
- See where adoption stands.
- Establish accountability.
- Avoid unmanaged variation becoming normal.
- Review evidence and decide the next move.
Practical AI learning is needed, but completion alone is not enough.
- Connect learning to workplace judgement.
- Publish practical guidance.
- Track acknowledgement and progress.
- Create evidence that learning is being applied.
AI-assisted work is entering live processes with inconsistent review habits.
- Identify operational drag.
- Improve manager visibility.
- Establish review expectations.
- Focus follow-up where inconsistency remains.
Adoption activity exists, but it is fragmented and difficult to evidence.
- Create a shared baseline.
- Connect rollout activity.
- Identify attention signals.
- Maintain momentum beyond launch.
Practical adoption control is needed without overloading governance.
- Make approved guidance visible.
- Record acknowledgement.
- Support clearer escalation and review behaviour.
- Provide adoption evidence without replacing governance functions.
Use WAIA when adoption needs practical control.
- AI use is already happening informally.
- You have or need an AI policy, but need behaviour to match it.
- Managers need clearer review expectations.
- You need evidence of guidance, progress and follow-up.
- You want practical enablement without heavy enterprise governance.
WAIA is intentionally not a catch-all AI product.
- You need a full enterprise GRC platform.
- You want technical model monitoring.
- You need employee surveillance.
- You only want a prompt library or one-off inspirational workshop.
- You need legal or regulatory certification.
Questions to ask internally before a fit conversation.
Current use
Where is workplace AI already being used, and who is accountable for AI-assisted output quality?
Shared standard
What guidance can employees actually apply, and what happens when use falls outside the expected standard?
Evidence
Can managers see where adoption is uneven, and can the organisation evidence acknowledgement, progress and follow-up?
Ask to see whether WAIA fits your organisation.
The first conversation is used to connect your current adoption picture with a practical first rollout scope.