Where is AI being used?
Record recurring work where people apply AI, beyond license access, course completion, or a one-time survey.
Can you prove what AI is doing to the work?
Your teams are using AI in real work. WAIA helps you review reported use, what changes across a workflow, and which claims about value the evidence can support.
No prompt monitoring. No employee productivity scoring. No automatic ROI claim.
The three questions
Make workplace AI easier to judge.
Usage counts do not tell leaders whether work improved. WAIA connects reported use, workflow impact, and evidence strength so managers can decide what needs attention.
Is it actually working?
Look at the whole workflow, including review time, rework, mixed outcomes, and work that AI may have added.
What can management rely on?
Separate individual reports from repeated observations and manager-validated conclusions.
Inside WAIA
See what needs attention, and why.
Home brings the evidence picture, learning participation and Guidance follow-up into one place so management can see what needs attention next.
Action
See what needs attention next.
Home brings Needs attention, the Current picture and a Recommended next action together across People, Guidance, learning participation and examples from real work.
Illustrative example
What one workflow can tell management.
This fictional example shows how a reported time saving can become evidence for management to review. It is not a customer case study.
Weekly customer reporting
AI is used to prepare a first draft from existing notes.
About 35 minutes less effort
Preparation falls, but checking and rework are counted before any capacity signal is shown.
Reported, then repeated
One example is useful. Comparable evidence over time gives management a stronger basis for review.
Indicative capacity released
The conclusion remains evidence dependent and doesn’t become an automatic financial saving.
Why WAIA
Usage is not value.
WAIA helps leaders judge whether AI is improving recurring work, shifting effort elsewhere, or adding a new burden.
A license being opened doesn’t show whether work improved.
Completing learning doesn’t show whether behavior changed.
One impressive example is different from repeated evidence.
How it works
Build evidence from work people already do.
WAIA doesn’t ask employees to become analysts. It captures structured evidence as people learn and apply AI at work.
People use AI in real work.
They capture what happened.
WAIA builds evidence over time.
Management reviews what holds up.
Management decides what to do next.
Buyer relevance
For leaders accountable for what AI changes at work.
WAIA is for operations, people, finance, and executive leaders who need to understand the effect of AI on work, and decide where to invest, intervene, or gather better evidence.
Check organizational fitCommercial entry
Pricing is tailored to the agreed number of learner licenses and subscription scope. Ask for a quote and review currency, taxes, and terms before signing.
View pricingTrust and boundaries
Visibility without surveillance.
WAIA is operated by Nineteen Point Two Ltd. It doesn’t monitor employee prompts, score productivity or intentionally use Customer Data to train AI models. Human review remains accountable.
Read data and privacy boundariesNo prompt monitoring
WAIA isn’t designed to inspect every AI interaction.
No productivity scoring
The focus is evidence about work, not ranking people.
No automatic ROI
Indicative capacity is evidence dependent and not a cash saving claim.
Next step
See what WAIA would show you.
Start with one question: what are you currently struggling to see about workplace AI?