Where is AI being used?
Identify recurring workplace workflows and real application, not just licence access, training completion or survey responses.
Can you prove what AI is doing to the work?
You’re investing in workplace AI. WAIA helps organisations see where AI is being used, whether it’s making work better, worse or unchanged, and what evidence management can rely on.
No prompt monitoring. No employee productivity scoring. No automatic ROI claim.
The three questions
Make workplace AI easier to judge.
Most AI dashboards show activity. WAIA is built around the management questions that decide whether AI is actually helping.
Is it actually working?
Understand net impact, including checking, rework, negative outcomes and mixed results.
What can management rely on?
Separate isolated stories from stronger evidence and see where conclusions are ready for review.
Free working tool
Start by seeing what is happening.
The Workplace AI Visibility Check helps a manager look at real AI use, affected work, review and the questions that remain unanswered. Seven questions, around 10–15 minutes, with a result you can take into a team conversation.
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.
AI isn’t a strategy, it’s a tool. WAIA helps organisations see what that tool is doing to recurring work.
A licence being opened doesn’t show whether work improved.
Completing learning doesn’t show whether behaviour 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 asked whether AI investment is changing the work.
WAIA is most relevant when operations, people, transformation, finance or senior leadership need a clearer answer than “people seem to be using AI more”.
Check organisational fitCommercial entry
Annual licences start from £5,000 + VAT. Pricing stays transparent, but the first step is understanding what evidence would help management decide.
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?