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 is 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.
Inside WAIA
See what the evidence actually supports.
WAIA brings real-work evidence together so management can see what needs attention, what is ready to review and where current capacity signals exist.
Management signal
See what needs management attention.
WAIA surfaces what needs attention, what is ready to review, where current capacity signals exist and which workflows still need grouping.
Supporting evidence
See what sits behind the signal.
WAIA keeps the evidence strength, validation state, contributors, consistency and capacity logic visible so management can understand why a workflow is or is not ready to rely on.
Action
Turn evidence into action.
WAIA connects what management can see with the next practical action across guidance, participation, learner readiness and evidence follow-up.
Illustrative example
From one workflow to a management signal.
This example is fictional. It shows the shape of the WAIA journey without presenting 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 does not become an automatic financial saving.
Why WAIA
Usage is not value.
AI isn’t a strategy, it’s a tool. WAIA gives organisations the operating structure to understand 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
Plain English first. Methodology when you need it.
WAIA does not ask employees to become analysts. It captures structured evidence through the normal learning and application journey.
People use AI in real work.
They capture what happened.
WAIA builds evidence over time.
Management reviews what holds up.
Better evidence informs better decisions.
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 is not 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?