Baseline01
AI Effectiveness Baseline
A practical starting view of current workplace AI adoption, including visibility, guidance, manager confidence and evidence quality.
WAIA
Bring workplace AI adoption under control.
WAIA helps organisations establish a practical baseline for workplace AI adoption, identify operational drag and support employees and managers with learning, guidance, toolkit resources and evidence-led follow-up.
Direct contact: ben@nineteenpointtwo.com
For founders, People teams, operations leaders and managers who need controlled adoption without building a heavy governance programme or treating AI as theatre.
What an organisation gets
A lightweight operating layer for organisation-wide AI adoption.
WAIA gives an organisation the building blocks for controlled rollout: an admin-led AI Effectiveness Baseline, an AI Operational Drag Assessment, a Workplace AI Control Index, practical learning, organisation-specific guidance, toolkit resources and evidence-led follow-up. It works for teams that need a common operating baseline before fragmented use hardens into everyday behaviour.
- Complete the baseline as an organisation admin or use it to guide a structured review with managers and stakeholders.
- Identify where unmanaged AI use is creating rework, review burden, duplicated effort or inconsistent execution.
- Use the Control Index to focus guidance, manager support and follow-up without claiming a benchmark or compliance proof.
- Support employees with practical learning, toolkit resources and organisation guidance.
AI Baseline
Start with an admin-led view of adoption reality.
WAIA does not ask employees to complete an organisation-wide survey. The baseline is completed by an organisation admin, or used to guide a structured review with managers and stakeholders. Its purpose is to expose where workplace AI adoption is creating useful progress, operational drag or follow-up needs.
Drag02
AI Operational Drag Assessment
A structured way to identify where AI use may be adding rework, review burden, duplicated effort, tool confusion or workflow variation.
Control03
Workplace AI Control Index
A focused internal read of where guidance, manager support, practical learning and evidence-led follow-up should be strengthened.
Enablement diagnostic
Workplace AI Operational Diagnostic
Understand where workplace AI adoption is creating friction before WAIA turns that insight into shared standards, role-aware guidance and visible behaviour change.
Most organisations already have workplace AI adoption. The issue is rarely whether AI tools are being used. The issue is whether leadership can see how work is changing underneath existing management rhythms, workflows and customer-facing standards.
The Workplace AI Operational Diagnostic is a structured operational conversation that surfaces where AI-enabled ways of working are creating inconsistency, reducing manager visibility or changing customer-facing execution. It is designed to clarify the enablement gaps WAIA can help close.
- Where teams are working differently day to day.
- Where managers are losing visibility.
- Where customer-facing quality varies.
- Where unofficial ways of working are emerging.
- Where productivity gains may be masking coordination risk.
- Where practical manager enablement is needed.
Adoption support
Learning is one part of the operating system.
WAIA combines baseline diagnostics, practical learning, manager support, organisation guidance and toolkit resources so AI policy can become more consistent workplace behaviour.
Learn01
AI Governance at Work
Practical learning for employees who need shared standards for safe, effective and accountable workplace AI use, including how to recognise the limits of AI-supported work.
Apply02
Applied AI
Practical content and resources for teams using AI in defined workflows, with attention to prompt quality, evidence, handover, review and repeatable practice.
Govern03
Managing AI in Work
Manager-focused support for guiding teams, reviewing AI-supported work, spotting risk and keeping human accountability clear.
Complete the admin-led baseline.
Use the AI Effectiveness Baseline and Operational Drag Assessment to understand where adoption is creating useful progress, friction or follow-up needs.
Set organisation guidance.
Add organisation guidance, practical standards and toolkit resources so employees have one clear reference point for workplace AI use.
Give access to the right people.
Learners receive access to the guidance, resources and practical learning selected for their role, team or rollout cohort.
Capture acknowledgement and progress.
Learners acknowledge the organisation's AI guidance and complete assigned learning so leaders can see whether standards have reached the point of use.
Monitor progress and completion.
Admin views show who has started, who has acknowledged guidance, who has completed and where follow-up is needed.
Learner journey
Each learner sees a clear path through assigned content.
Learners sign in, see their dashboard, read the organisation's AI guidance, acknowledge the standard expected of them and work through the content assigned to their role.
Assigned pathway.
The learner sees the guidance, resources and practical learning selected for their role, team or rollout cohort.
AI Guidance area.
The learner has a dedicated place to read organisation guidance and acknowledge the standard before using AI in work.
Progress and completion.
Progress, completion and certificates create a record the organisation can use for rollout evidence and follow-up.
Admin visibility
Admins can see rollout progress rather than guessing.
The admin view is built for operational follow-up. It shows baseline signals, learner status, guidance acknowledgement, completion evidence and the groups that need reminders, manager support or practical follow-up.
Learner records.
See who has been invited, which access they have and whether they have started.
Guidance acknowledgement.
Check which learners have acknowledged the organisation's AI guidance and which groups still need follow-up.
Completion status.
Identify completed, in-progress and outstanding learners, including certificate status where completion applies.
Follow-up lists.
Use progress gaps to trigger reminders, manager prompts or targeted support.
Evidence trail.
Keep a practical record of baseline outputs, assigned learning, guidance acknowledgement, completion and certificate evidence against the rollout plan.
Rollout reporting.
Give sponsors a clear read on adoption coverage, not just intent or attendance.
Deployment options
Designed for baseline rollout, targeted pathways or managed adoption programmes.
Organisations can use WAIA as a broad foundation, an admin-led baseline diagnostic, a manager support layer, or a targeted pathway for teams already applying AI in operational work. It does not need a large transformation programme to create useful visibility and consistency.
- Organisation-wide baseline for safe, consistent and practical use.
- Manager support and toolkit resources for teams already using AI in operational work.
- Cohort rollout for specific functions or risk areas.
- Organisation guidance and acknowledgement for policy adoption.
- Evidence-led follow-up without heavy enterprise GRC.
Next step
Discuss whether WAIA fits your workplace AI adoption approach.
Use the conversation to map the baseline diagnostic, manager support needs, practical learning, organisation guidance, toolkit resources and evidence-led follow-up before rollout.
Direct contact: ben@nineteenpointtwo.com