WAIA Workplace AI adoption control

Make workplace AI use visible before informal habits become standard practice.

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.

Buyer problem

AI use is already spreading. The operating standard isn't.

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.

01

Local choices become the working standard.

People make local decisions about tools, inputs, outputs and checking standards while doing live work.

02

Managers review work they can't fully see.

They remain accountable for quality, but often lack a shared view of what happened upstream.

03

Policy is ahead of behaviour.

Guidance may exist, but leaders have little evidence that it reached decisions, workflows and output checks.

04

Training can sit apart from the work.

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.

WAIA Clarity Panel

Make the next move visible.

What WAIA makes clear

Where AI use is already happening, which guidance needs acknowledgement and where adoption needs attention.

What people are expected to do

Understand the organisation's guidance, practise workplace judgement and leave useful evidence of application.

Why it matters

Leaders can move beyond completion counts and see whether AI use is becoming more visible, guided and reviewable.

What organisations can see next

Practical follow-up signals for managers, admins and sponsors without prompt monitoring or productivity scoring.

Product proof

Workplace AI adoption, made visible.

Real WAIA product views show where adoption needs attention, how guidance becomes usable and how people practise workplace judgement.

Attention signals

See what needs action next

Organisation admins can see where guidance needs review, where participants are stalled and where evidence coverage needs strengthening.

WAIA admin view showing rollout signals that need attention
Turn adoption noise into a short list of practical next actions.
Baseline visibility

Start with a visible AI control profile

WAIA shows where use is supported, visible and consistent, and where operational drag may already be forming.

WAIA AI baseline control profile showing workplace AI adoption dimensions
A current operating view across behaviour, workflow, guidance and evidence.
Organisation guidance

Turn policy into usable local guidance

Publish practical guidance people can recognise in real work, including tools, data handling, escalation and supporting links.

WAIA organisation guidance screen showing approved tools and data handling guidance
Give people clear local AI guidance they can apply day to day.
Applied judgement

Build judgement, not just awareness

Learners work through practical moments where AI output needs review, context checking and human ownership.

WAIA learner scenario asking participants to review AI-assisted judgement
Help people practise the judgement calls that decide whether AI use is safe, useful and accountable.
Evidence and follow-up

Keep rollout moving where it matters

WAIA surfaces stalled participants, reminder status and places where human follow-up would add value.

WAIA learner follow-up view showing stalled participants and reminder status
Support learner momentum first. Surface human follow-up only where it matters.
What WAIA brings together

One connected adoption system.

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.

01
See the operating reality

Baseline and operating visibility

Baseline and operating visibility

Create a current view of AI use, operational drag, manager visibility and evidence gaps.

02
Set the standard

Guidance and boundaries

Guidance and boundaries

Publish practical local guidance so people can see approved tools, restricted behaviours and escalation routes.

03
Support real work

Learning and manager support

Learning and manager support

Use workplace learning, scenarios and manager resources to improve judgement, not just awareness.

04
Focus the next action

Evidence and focused follow-up

Evidence and focused follow-up

Capture acknowledgement, progress and application evidence so follow-up is directed where it matters.

Who it’s for

Built for practical adoption control.

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 for
01

AI use is already happening informally.

02

Policy exists, but behaviour and output checks remain uneven.

03

Managers need clearer review expectations.

04

The organisation wants practical enablement without a heavy enterprise governance platform.

How it works

Turn visibility into a repeatable operating rhythm.

Start with the work already happening, set a clearer standard and use visible signals to focus support where it matters.

01

See current AI use

Establish the current operating picture.

02

Set clear standards

Define expectations for use, review and escalation.

03

Bring people into scope

Connect the right employees, managers and teams.

04

Support real work

Make guidance and learning useful inside live workflows.

05

Capture evidence

Record lightweight examples of guidance being applied.

06

Focus manager follow-up

Use visible gaps to direct practical support.

07

Improve the operating standard

Strengthen expectations as adoption develops.

Pricing summary

WAIA starts from £5,000 + VAT per organisation, per year.

Pricing is based on the eligible organisation population and includes platform access, standard implementation and administrator onboarding.

View pricing and package details
Data and product boundaries

Visibility without employee prompt monitoring.

WAIA 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 boundaries

No prompt monitoring

WAIA is not designed to capture every employee prompt or inspect all workplace AI activity.

No productivity surveillance

The product supports adoption visibility, 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 or governance?

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.

Does WAIA prove compliance?

No. WAIA supports practical adoption evidence, but it isn't a 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 and effective AI adoption.

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 the current operating picture and the right first rollout scope.