After the AI rollout: judgment

Know what your team can be trusted to ship with AI.

You bought the licences and ran the training. Now everyone uses AI — and you have no read on whether that is making the business faster or more exposed. STEP Workplace puts your people in realistic work situations where they must check AI output, make the call, and ship work a client, board, or regulator would accept. You see which teams are ready, where judgment breaks down, and where exposure is building.

AI available, not automaticScored on a standard you can inspectEvidence for risk & auditReadiness by team and function
  • The judgment layer after your AI rollout — tests decisions, not tool use
  • Built on proven assessment-center method; scenarios drawn from real workplace pressure
  • Individual records for development · risk & ROI evidence for leadership
  • Designed by AIR APAC. Developed by Exeter Labs.
The blind spot

You rolled out AI. You can't see who uses it well.

Adoption was the easy part. The hard part is that AI mistakes don't stay internal — they ship: the confident wrong number into a board pack, the invented source into a client memo, the privacy slip into a regulator's inbox. And you pay for the licences either way. STEP Workplace makes AI judgment visible — by person, team, and function — before it turns into exposure.

Are we getting value from AI, or just exposure?

Which functions can be trusted with AI — and which can't yet?

Where will AI judgment fail first, and what's it worth?

Can we show a regulator or board how we govern AI use?

The standard

Four behaviours leadership notices fast.

You don't need another dashboard saying AI adoption is up. You need to know whether your people can structure the problem, test what AI gives them, explain their decisions, and deliver under pressure.

S

Structure

Turns an unclear request into a sound plan before rushing into AI output.

T

Test

Catches AI mistakes that look correct before they reach a client, a regulator, or the board.

E

Engage

Explains the thinking, is honest about AI use, and handles hard questions without hiding behind the tool.

P

Perform

Delivers usable work when time is short, information is incomplete, and the call is real.

Structure, Test, Engage, and Perform give managers, L&D, and risk one shared language for AI-era judgment.

Rollout

Start with one team. Scale what works.

Run STEP Workplace as a readiness program: pilot one team or function where AI is already in daily use, see where judgment is strong and where it is risky, then expand across the organisation with evidence behind every step.

  1. Pick a team or function

    Choose where AI is already in daily use and the stakes are real.

  2. Run the missions

    Your people work realistic AI workplace scenarios under time pressure and with incomplete information.

  3. Score on the STEP standard

    Consistent scoring you can put in front of risk, audit, or the board — not a black-box number.

  4. Read the results by function

    See strengths, trust risks, and where judgment breaks down across teams.

  5. Develop and expand

    Target development where it's weak, re-assess on a fresh scenario, then roll out to the next function.

Leadership output

What leadership gets.

One run produces what different leaders need: a read on AI-related risk, a view of where AI spend is paying off, governance-ready evidence, and a development plan you can act on.

Risk

AI risk-exposure map

Where AI output is most likely to be rubber-stamped into client, regulator, or board-facing work — and by which teams.

ROI

AI value by function

Where your AI investment is producing trustworthy work, and where spend is outrunning judgment.

Governance

Governance-ready evidence

Defensible records of how your people use AI, built for responsible-AI programs, audit, and board reporting.

Develop

Targeted development plan

What to train, by team, grounded in observed work — not a self-assessment survey.

Individual

Individual records

A per-person record for development reviews and internal mobility.

Privacy

Privacy by design

The credential verifies the outcome. Work products stay governed by the company and individual consent. Privacy & data

Every output traces back to real work, scored on one standard you can inspect.

Per-person record

Recognise and retain the people you can trust with AI.

When someone meets the standard, the record shows what they did, in which scenario, and against which standard — a defensible basis for development, internal mobility, and governing how AI-assisted work leaves your teams.

Credential

STEP Certified: AI-Ready Professional

A clear way to recognise people who can be trusted with AI-era work.

Record

A record of demonstrated work

The outcome, scenario, assessment date, standard version, and performance across each skill.

Trust signal

Evidence leadership can understand

The scenario, rubric, decisions, and work samples behind the result.

Display

Carries into the talent pipeline

Usable in performance reviews, internal mobility, and succession planning — so trusted AI judgment shows up where you deploy and promote people.

Reassessment

Growth on a fresh scenario

A new scenario shows improvement, not memorisation.

Earned, not awarded by default

The professional missions that earn this credential are in active development. No professional credential has been issued yet. The demo below is the one scenario you can run today.

The professional mission set

Real situations where AI judgment is tested under pressure.

Each mission drops a professional into a realistic, high-stakes work situation where AI is available, confident, and sometimes wrong. The set is in active development; access opens with your pilot.

Finance / Strategy▶ Playable now

The Board Number

An AI growth memo looks polished. One figure won't survive scrutiny. You own the call before it ships.

Play this mission
Account Management🔒 In development

The Client Escalation

AI drafts a reply to a furious enterprise client. It's smooth, fast, and commercially dangerous. Decide what actually ships.

Professional scenario
Risk / Legal🔒 In development

The Compliance Gray Zone

AI gives a confident answer on an ambiguous regulation. Confidence isn't compliance. Find the line.

Professional scenario
Procurement🔒 In development

The Vendor Claim

An AI tool's own output is being used to justify a six-figure renewal. Verify before you sign.

Professional scenario
People / HR🔒 In development

The Sensitive Memo

A people-decision message has to go out. The AI draft is tone-deaf and quietly leaks the intent. Fix it before it lands.

Professional scenario
Engineering / Ops🔒 In development

The Incident Postmortem

AI summarises an outage cleanly — too cleanly. It buries the root cause that matters. Surface it.

Professional scenario
Leadership / FP&A🔒 In development

The Forecast Pressure

Leadership wants the optimistic AI forecast. You have the honest one. Hold the line or own the gap.

Professional scenario
Data / Partnerships🔒 In development

The Data Request

A partner asks for data an AI workflow would happily export. Contract and privacy limits say slow down.

Professional scenario
Operations🔒 In development

The Automation Boundary

An exec wants the process fully automated. Decide what AI may run alone and what always needs a human.

Professional scenario

Eight seed the professional mission set and are forthcoming. The Board Number is playable now. The demo is the always-on sample.

Try it now

One mission. Six minutes. A real judgment call.

Open a simulated workspace and review an AI draft that looks right but isn't — a number headed for a client, a claim headed for the board. Find the problem, and send a response leadership can trust.

Try the sample mission

This sample is playable now. The full professional mission set above is in development.

STEP Workplace · sample mission
Workplace readiness task

The Client Escalation

Review an AI reply to a furious enterprise client before it ships.

Realistic pressure6–8 minSample mission
Why STEP

Generic AI training stops before the hard part.

Prompting is easy to teach. The harder question is whether your people can check AI work, protect the business from hidden risk, handle pressure, and explain their decisions. That's what earns trust on real work.

Generic AI training

Shows tools, workflows, and prompts.

STEP Workplace

Tests AI use inside hard workplace situations.

Adoption dashboard

Counts logins and prompts.

STEP readiness

Shows whether the output can be trusted.

Generic L&D report

Counts completion.

STEP leadership read

Shows where trust breaks down, by function, and what to fix.

Who it's for

L&D, function leads, risk. One shared read.

Each leader sees the same work through the lens of the decision they have to make.

L&D / People

Spend development where it's weak. Target AI-readiness training using observed judgment, not a self-assessment survey.

See how a run works

Function leads / Managers

Know who to trust with AI. See which people catch AI's mistakes and which pass them on.

See the leadership output

Risk / Compliance & Exec

A defensible read on AI exposure. Where AI-assisted work creates risk, and proof of how it's governed.

See the governance evidence

A first run can start with one team and end with individual records, a leadership read, and a development plan.

See what a readiness pilot reveals.

Try the sample mission, then book a pilot for one team — assess where AI judgment is strong, where it's risky, and what to do about it.