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.
- 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.
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.
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?
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.
Structure
Turns an unclear request into a sound plan before rushing into AI output.
Test
Catches AI mistakes that look correct before they reach a client, a regulator, or the board.
Engage
Explains the thinking, is honest about AI use, and handles hard questions without hiding behind the tool.
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.
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.
- Pick a team or function
Choose where AI is already in daily use and the stakes are real.
- Run the missions
Your people work realistic AI workplace scenarios under time pressure and with incomplete information.
- Score on the STEP standard
Consistent scoring you can put in front of risk, audit, or the board — not a black-box number.
- Read the results by function
See strengths, trust risks, and where judgment breaks down across teams.
- Develop and expand
Target development where it's weak, re-assess on a fresh scenario, then roll out to the next function.
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.
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.
AI value by function
Where your AI investment is producing trustworthy work, and where spend is outrunning judgment.
Governance-ready evidence
Defensible records of how your people use AI, built for responsible-AI programs, audit, and board reporting.
Targeted development plan
What to train, by team, grounded in observed work — not a self-assessment survey.
Individual records
A per-person record for development reviews and internal mobility.
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.
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.
STEP Certified: AI-Ready Professional
A clear way to recognise people who can be trusted with AI-era work.
A record of demonstrated work
The outcome, scenario, assessment date, standard version, and performance across each skill.
Evidence leadership can understand
The scenario, rubric, decisions, and work samples behind the result.
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.
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.
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.
The Board Number
An AI growth memo looks polished. One figure won't survive scrutiny. You own the call before it ships.
Play this missionThe Client Escalation
AI drafts a reply to a furious enterprise client. It's smooth, fast, and commercially dangerous. Decide what actually ships.
Professional scenarioThe Compliance Gray Zone
AI gives a confident answer on an ambiguous regulation. Confidence isn't compliance. Find the line.
Professional scenarioThe Vendor Claim
An AI tool's own output is being used to justify a six-figure renewal. Verify before you sign.
Professional scenarioThe 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 scenarioThe Incident Postmortem
AI summarises an outage cleanly — too cleanly. It buries the root cause that matters. Surface it.
Professional scenarioThe Forecast Pressure
Leadership wants the optimistic AI forecast. You have the honest one. Hold the line or own the gap.
Professional scenarioThe Data Request
A partner asks for data an AI workflow would happily export. Contract and privacy limits say slow down.
Professional scenarioThe Automation Boundary
An exec wants the process fully automated. Decide what AI may run alone and what always needs a human.
Professional scenarioEight seed the professional mission set and are forthcoming. The Board Number is playable now. The demo is the always-on sample.
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.
The Client Escalation
Review an AI reply to a furious enterprise client before it ships.
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.
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 worksFunction leads / Managers
Know who to trust with AI. See which people catch AI's mistakes and which pass them on.
See the leadership outputRisk / Compliance & Exec
A defensible read on AI exposure. Where AI-assisted work creates risk, and proof of how it's governed.
See the governance evidenceA 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.
