Local choices become the working standard.
People make local decisions about tools, inputs, outputs and checking standards while doing live work.
WAIA helps organisations make workplace AI use visible, set usable guidance, improve workplace judgement, maintain rollout momentum and create evidence that adoption is becoming safer, more consistent and more useful.
Built 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 and real work.
People make local decisions about tools, inputs, outputs and checking standards while doing live work.
They remain accountable for quality, but review AI-assisted outputs without a shared view of what happened upstream.
Guidance may exist, but leaders have little evidence that it has reached decisions, workflows and output checks.
It connects policy to guidance, practical support and evidence from the point where work actually happens.
WAIA gives organisations a practical way to see how AI is being used, where guidance is needed, where learners are moving or stalling, and whether adoption is producing evidence rather than just activity.
WAIA helps organisations move beyond vague AI enthusiasm by showing where AI use is supported, visible and consistent, and where operational drag may already be forming. The baseline gives leaders a practical view across behaviour, workflow, governance, manager visibility, capability and evidence.
WAIA gives organisation admins a clear view of the rollout signals that matter. Instead of guessing whether AI adoption is moving, leaders can see where guidance needs review, where participants are stalled, where invites are still pending and where evidence coverage needs strengthening.
Broad policies are rarely enough on their own. WAIA helps organisations publish practical guidance people can apply in real work, including approved tools, restricted behaviours, data handling expectations, escalation contacts and supporting links.
WAIA learning is designed around practical workplace moments, not passive content. Participants work through scenarios where AI output may sound confident but still needs review, context checking and human ownership before it is used.
WAIA handles learner reminders first, then shows admins where human follow-up would actually add value. That helps organisations avoid blanket chasing and focus attention on participants who are stalled, need a prompt or have not yet produced visible movement.
AI adoption rarely moves evenly across an organisation. WAIA gives managers and rollout leads practical resources for check-ins, review habits, safe experimentation, review lanes and rollout conversations, so support can happen without turning every AI use case into a formal project.
The baseline doesn't sit separately from the rest of the platform. WAIA connects the result back to practical actions across guidance, learning, follow-up and evidence, helping the organisation move from "we have a score" to "we know what to tighten next".
Pricing is based on the eligible organisation population and includes platform access, standard implementation and administrator onboarding.
See the full licence, organisation bands, implementation scope and optional Guided Adoption support before deciding whether WAIA fits.
WAIA connects a current view of adoption to the standards, support and evidence needed to manage it. Learning is part of the system. It’s not the whole product.
See where adoption stands before informal use becomes the default way of working.
Identify inconsistency, unclear ownership, review burden and manager visibility gaps.
Show where guidance, support and follow-up should focus.
Give employees a shared reference point for safe, useful and accountable workplace AI use.
Connect safe AI use to real work without bypassing human judgement.
Give managers the language to review AI-assisted work, reinforce standards and spot drift.
Capture lightweight examples of where guidance is being applied.
Show where people are progressing and where support is still needed.
Start with the work already happening, set a clearer standard and use visible signals to focus support where it matters.
AI is not a strategy, it's a tool. The operating loop is what turns access into safer, more consistent workplace adoption.
Adoption is already real, but the operating standard has not caught up.
People are already using AI in customer, commercial or operational work.
Policy exists, but behaviour and output checks remain uneven.
Managers are expected to review AI-assisted work without a shared standard.
Leaders need evidence of adoption, not just confidence that guidance was sent.
Use WAIA when adoption needs practical control.
WAIA is intentionally not a catch-all AI governance product.
The first conversation is used to establish whether WAIA fits the organisation, where workplace AI use stands today and what an appropriate first rollout would need to cover.
Discuss current AI use, the operating concern and who would need to be involved.
Agree the initial employee group, internal sponsor and the guidance or visibility priorities.
Set up the organisation view, practical guidance and the first baseline.
Invite participants, provide the relevant learning and make manager support available.
Use progress, guidance acknowledgement, attention signals and application evidence to decide what should happen next.
You don't need a finished AI strategy before starting the conversation.
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. It helps organisations set standards, support people and evidence adoption.
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 WAIA fit call. The first goal is to establish where workplace AI use stands today and where guidance, manager support and follow-up should focus.
How do we make workplace AI use visible, guided and manageable?
A practical operating layer for baseline visibility, guidance, learning, manager support and evidence-led follow-up.
Primary productWAIA is operated by Nineteen Point Two Ltd, the company responsible for the product, legal terms and customer relationship.
Read WAIA termsPrivacy, cookies, security, data processing and subprocessors are maintained by Nineteen Point Two Ltd.
AI use statementWAIA helps you establish the baseline, guide employees, support managers and evidence adoption follow-up.
Direct contact: ben@nineteenpointtwo.com