Local choices become the working standard.
People make local decisions about tools, inputs, outputs and checking standards while doing live work.
WAIA combines baseline visibility, practical organisation guidance, workplace AI learning, manager support, acknowledgement and evidence, and focused adoption follow-up.
WAIA is for practical adoption control, not surveillance, prompt monitoring or heavy governance.
You probably don't have an adoption problem because people are unwilling to use AI. The issue is that use spreads unevenly, local decisions become working norms and leaders can't see whether policy has changed behaviour. WAIA sits in the gap between policy, employee behaviour, manager visibility, review standards and evidence of adoption.
People make local decisions about tools, inputs, outputs and checking standards while doing live work.
They remain accountable for quality, but often lack a shared view of what happened upstream.
Guidance may exist, but leaders have little evidence that it reached decisions, workflows and output checks.
Completion alone doesn't show whether AI use is more visible, guided or manageable.
AI isn’t a strategy, it’s a tool.
WAIA gives organisations the practical operating structure around how that tool is used, reviewed and improved at work.
Where AI use is already happening, which guidance needs acknowledgement and where adoption needs attention.
Understand the organisation's guidance, practise workplace judgement and leave useful evidence of application.
Leaders can move beyond completion counts and see whether AI use is becoming more visible, guided and reviewable.
Practical follow-up signals for managers, admins and sponsors without prompt monitoring or productivity scoring.
Real WAIA product views show where adoption needs attention, how guidance becomes usable and how people practise workplace judgement.
Organisation admins can see where guidance needs review, where participants are stalled and where evidence coverage needs strengthening.
WAIA shows where use is supported, visible and consistent, and where operational drag may already be forming.
Publish practical guidance people can recognise in real work, including tools, data handling, escalation and supporting links.
Learners work through practical moments where AI output needs review, context checking and human ownership.
WAIA surfaces stalled participants, reminder status and places where human follow-up would add value.
Learning is part of WAIA, but it is not the whole product. WAIA connects a current view of adoption to guidance, manager support, evidence and follow-up.
Create a current view of AI use, operational drag, manager visibility and evidence gaps.
Publish practical local guidance so people can see approved tools, restricted behaviours and escalation routes.
Use workplace learning, scenarios and manager resources to improve judgement, not just awareness.
Capture acknowledgement, progress and application evidence so follow-up is directed where it matters.
WAIA fits organisations where informal use is already real, policy exists or is being developed, managers need clearer review expectations and leaders need evidence of adoption and follow-up.
Explore who WAIA is forAI use is already happening informally.
Policy exists, but behaviour and output checks remain uneven.
Managers need clearer review expectations.
The organisation wants practical enablement without a heavy enterprise governance platform.
Start with the work already happening, set a clearer standard and use visible signals to focus support where it matters.
Pricing is based on the eligible organisation population and includes platform access, standard implementation and administrator onboarding.
View pricing and package detailsWAIA is operated by Nineteen Point Two Ltd. It does not monitor employee prompts, score productivity or intentionally use Customer Personal Data to train AI models. WAIA supports practical adoption evidence, but it is not legal advice or compliance certification.
Read about data, privacy and product boundariesWAIA is not designed to capture every employee prompt or inspect all workplace AI activity.
The product supports adoption visibility, not employee productivity scoring.
Nineteen Point Two Ltd is responsible for the customer relationship, legal terms and shared product documents.
WAIA is an adoption system. Learning is part of it, but the value is the combination of baseline visibility, shared guidance, manager support and evidence-led follow-up.
No. WAIA isn't surveillance. Read the data and product boundaries.
No. WAIA supports practical adoption evidence, but it isn't a compliance certification or regulated assurance product.
No. WAIA can help an organisation start with simple operating guidance, then improve it as adoption matures.
Usually a founder, MD, People leader, Operations leader or senior sponsor responsible for safe and effective AI adoption.
Start with a fit conversation. Pricing and package details explain the standard licence scope.
You don't need a finished AI strategy before starting the conversation. The first step is to understand the current operating picture and the right first rollout scope.