Usage isn’t the same as value.
More access, prompts or completed learning doesn’t prove that recurring work has improved.
Turn AI adoption into evidence you can use.
AI is already changing how your people work. The problem is, you probably can’t see clearly where it’s helping, where it’s adding work or whether the productivity claims you’re hearing actually hold up.
WAIA turns real workplace use into evidence you can review, strengthen and use to make better decisions about AI.
WAIA is for evidence-led management decisions, not surveillance, prompt monitoring or a separate employee ROI exercise.
Buyer problem
AI adoption is becoming visible. AI value often isn't.
Licences, usage dashboards, training completion and employee surveys can all show activity. They still leave management with harder questions: where AI is being used in recurring work, whether the work is better, what checking or rework has been introduced and which conclusions are strong enough to act on.
Anecdotes travel faster than evidence.
Productivity stories are useful signals, but management needs to know whether they repeat in real workflows.
Checking and rework are easy to miss.
Apparent time saved can disappear when people spend extra effort correcting, validating or rebuilding AI-assisted work.
Positive results are not guaranteed.
Useful evidence may show improvement, no material change, mixed results or additional capacity required.
AI isn’t a strategy, it’s a tool.
WAIA gives organisations the practical operating structure around how that tool is used, evidenced, reviewed and improved at work.
WAIA Clarity Panel
A claim isn’t the same as evidence.
What WAIA makes clear
Where AI is being used, what happened to the work and whether the evidence is reported, observed, repeated or validated.
What people are expected to do
Understand the organisation's guidance, practise workplace judgement and leave lightweight evidence from real work without becoming analysts.
Why it matters
Leaders can separate adoption activity from defensible conclusions about work quality, checking burden and capacity.
What organisations can see next
Workflows that need attention, are ready for review, need grouping or have current capacity signals.
Inside WAIA
See what the evidence actually supports.
WAIA brings real-work evidence together so management can see where AI is helping, where it’s adding work, how strong the evidence is and which conclusions are ready to act on.
It doesn’t turn every AI use case into a productivity claim. It shows what the evidence supports, including when the answer is mixed, negative or not ready yet.
Management view
See where the evidence needs attention.
WAIA turns individual workplace evidence into a management queue: what needs attention, what’s ready for review, where current capacity signals exist and which workflows still need grouping.
Positive evidence
Surface capacity without pretending the decision is automatic.
When repeated evidence supports a positive conclusion, WAIA can show an indicative capacity range while still keeping management review explicit.
Negative evidence
See when AI is adding work, not removing it.
WAIA can show when AI-assisted work is creating more checking, rework or effort rather than releasing capacity. Strong negative evidence is still useful evidence.
Mixed evidence
Don’t invent certainty the evidence can’t support.
When results conflict across people or observations, WAIA keeps the outcome mixed and blocks an indicative capacity estimate rather than averaging the problem away.
Evidence strength
Forget vibes. Get evidence.
WAIA doesn’t simply collect claims. It helps distinguish anecdote from evidence strong enough to support management decisions through Reported → Observed → Repeated → Validated.
Reported
A learner describes a real AI-supported workflow or task.
Observed
Structured evidence is present, including workflow context and value signals.
Repeated
Evidence appears across time, not simply several submissions made together.
Validated
A responsible human reviewer concludes that the evidence supports the management conclusion.
Validated isn’t an automatic badge. Old, stale or inconsistent evidence can still require refreshing or further review.
Value direction
Good evidence doesn’t have to be good news.
WAIA separates how strong the evidence is from what that evidence appears to show. Strong negative evidence is useful because it tells management where AI may be increasing checking, rework or operating risk.
Work appears to improve.
No material change is visible.
AI appears to add work or burden.
Evidence points in different directions.
The evidence isn’t ready to interpret.
Indicative capacity
Capacity only appears where the evidence supports it.
Where repeated, current evidence supports it, WAIA can translate workflow evidence into a conservative indicative capacity range. Weak, stale, mixed or unsuitable evidence doesn’t get forced into a false midpoint.
Capacity isn’t the same as cash saving. Management still owns the decision about what any capacity signal means.
What WAIA brings together
One connected evidence system.
WAIA doesn’t separate learning from operational evidence. The guidance and enablement system helps create better AI behaviour, and the application loop shows whether that behaviour is improving work.
01
Baseline
Understand current reality
Baseline
Create a current view of AI use, operating drag, manager visibility and evidence gaps.
02
Enablement
Set guidance and support
Enablement
Publish practical local guidance so people can see approved tools, restricted behaviours and escalation routes.
03
Application
Apply AI to real work
Application
Use workplace learning, scenarios and manager resources to improve judgement, not just awareness, inside live workflows.
04
Evidence, review, decision
Strengthen evidence before acting
Evidence, review, decision
Capture work evidence, review strength and decide what to invest in, intervene on or investigate next.
Product proof
What WAIA helps you prove.
The strongest proof sits inside the product: what it records, how it strengthens evidence and what it keeps visible before management acts.
Anecdote or stronger evidence?
Distinguish reported examples from evidence that has become observed, repeated or validated through management review.
What direction is the work moving?
See positive, neutral, negative, mixed and unclear outcomes without assuming every AI use case creates value.
Is guidance shaping behaviour?
Connect local guidance, application evidence and follow-up so weak standards do not stay hidden behind completion activity.
What capacity can be defended?
Show indicative capacity only where current evidence supports it, including no material change or additional capacity required.
Who it’s for
Built for leaders who need evidence they can use.
WAIA fits organisations spending time and money on AI where the shared question is simple: what evidence do we have that it’s improving work?
Explore who WAIA is forAI licences and informal use already exist.
Leaders need to know where AI is helping and where it’s adding work.
Managers need evidence they can review, not another dashboard.
Finance, operations, people or risk leaders need defensible capacity signals without turning WAIA into an ROI calculator.
How it works
Turn everyday AI use into something management can actually judge.
Start with the work already happening, set a clearer standard and use workplace evidence to decide what deserves management attention.
Data and product boundaries
Visibility without employee prompt monitoring.
WAIA is operated by Nineteen Point Two Ltd. It doesn’t monitor employee prompts, score productivity or intentionally use Customer Personal Data to train AI models. WAIA supports practical workplace evidence, but it isn’t legal advice, compliance certification or an autonomous ROI engine.
Read about data, privacy and product boundariesNo prompt monitoring
WAIA isn’t designed to capture every employee prompt or inspect all workplace AI activity.
No productivity surveillance
The product supports workplace AI evidence, not employee productivity scoring.
Clear operator
Nineteen Point Two Ltd is responsible for the customer relationship, legal terms and shared product documents.
FAQ
Clear boundaries matter.
Is WAIA training, analytics or governance?
WAIA connects baseline, guidance, learning, application evidence, management review and decision support. Training and governance support are part of the system, not the whole value proposition.
Does WAIA monitor employee prompts?
No. WAIA isn't surveillance. Read the data and product boundaries.
Does WAIA prove ROI or compliance?
No. WAIA supports workplace evidence and indicative capacity where the evidence is strong enough, but it isn't a financial ROI calculator, compliance certification or regulated assurance product.
Do we need an AI policy first?
No. WAIA can help an organisation start with simple operating guidance, then improve it as adoption matures.
Who should own WAIA internally?
Usually a founder, MD, People leader, Operations leader or senior sponsor responsible for safe, effective and evidence-led AI use.
How does an organisation start?
Start with a fit conversation. Annual licences start from £5,000 + VAT, and pricing and package details explain the standard licence scope.
Next step
Ask to see whether WAIA fits the organisation.
You don't need a finished AI strategy before starting the conversation. The first step is to understand what evidence would help management decide whether AI is improving work.