Give everyone the same difficult work moment.
Participants inspect realistic sources, handle useful but incomplete AI output, make a consequential decision, and produce a workplace handoff.
StepSim — the judgment simulator for AI-enabled work
AI training teaches the tool. StepSim trains the judgement.
Working professionals practise the four decisions that matter: when to trust the output, when to question it, when to override it, and what to do when the facts have changed. Managers and trainers see the decisions their people actually make, not just their completion rates.
AI can produce the answer. Your people still own the call.
- 1 open 8-minute simulation
- 10 customisable workplace templates
- Individual review replay
- Team pattern readout
For line managers
See the work. Find the pattern. Coach the next run.
When adoption is uneven or AI-assisted work is disappointing, a completion score does not tell you what to fix. StepSim shows the decisions people made, the evidence they used, and the boundaries they respected or missed.
Review what each person actually did.
See what they opened, questioned, chose, wrote, and revised. The replay gives managers concrete material for the debrief.
Turn patterns into a coaching action.
Use individual replays and recurring team patterns to focus the debrief, tighten a workflow, or choose what the team should rehearse next.
Typical team engagement: one workflow, 20–50 participants, a facilitated simulation and debrief, individual replays, and a team pattern readout.
Who it is for
For the people who run, train, and improve how work gets done.
StepSim turns difficult workplace moments into realistic practice. Participants make decisions and see the consequences; managers and trainers get clear evidence for the conversation afterwards.
See how your people make calls under pressure.
Give people a realistic case where evidence is incomplete, pressure is real, and no checklist can make the call for them.
Choose a ready-made simulation for a critical workflow, let the team run it, then coach from the decisions people actually made.
- Practise before mistakes are live: rehearse consequential calls without putting customers, employees, trust, or money at risk.
- See judgment, not just completion: review what people opened, challenged, chose, and wrote.
- Coach the next run: turn observable choices into a focused manager conversation.
Customise realistic decisions for the programme you already run.
Start with a ready-made simulation, then shape the role, evidence, pressure, and decision around the work participants need to practise.
Keep your model, language, and facilitation style. StepSim supplies the simulated work, consequences, and replay evidence.
- Make judgment visible: participants do the work, so your debrief starts from observable choices.
- Keep what already works: add a high-fidelity practice layer without rebuilding the programme.
- Leave evidence behind: individual replays and team patterns create a practical coaching path after the session.
How to start
Choose the work moment. Adapt the simulation. Run and review.
Start with a difficult decision your people recognise. Use a ready-made scenario, adapt one to your workflow, or ask StepSim to build the missing template. Then run it and coach from the work people produced.
Start with a consequential decision.
Choose a ready-made scenario for a work moment where evidence, pressure, boundaries, and accountability matter.
Make the situation recognisable.
Shape the role, sources, policies, pressure points, decision boundaries, work product, and debrief around your team or programme.
Coach from what people actually did.
Participants make the call and produce a workplace handoff. Managers and trainers use the replay and team patterns to focus what happens next.
Explore StepSim Studio or request a new template for a workflow that is not yet in the library.
Workplace templates
Ten templates. One judgment lifecycle. Different stakes.
Explore each work moment, then open Studio to customise any template. The insurance template is open to try; managed participant runs and reporting are protected for invited managers, trainers, and reviewers.
Insurance underwriting
Review an AI-recommended life insurance decision, check the evidence, protect medical details, and decide whether the case can proceed.
Open the insurance scenarioThe Valid Login
As Incident Manager, decide how to contain an authenticated bulk export when purpose, privacy significance, and authority remain unresolved.
View the cyber simulationAsteron supplier finance
Turn a confident AI recommendation into an evidence-bound credit position without crossing confidentiality or approval boundaries.
View the banking simulationQuiet Before the Switch
Test an AI account summary, uncover the change behind stable revenue, and protect the relationship before a competitor trial.
View the B2B sales simulationLantana visitor growth
Shape an AI-assisted market recommendation into a governed experiment that accounts for public money, residents, data, and place.
View the destination simulationThe Line Stop
Choose a proportionate production and containment posture when a credible process signal arrives before product certainty.
View the manufacturing simulationThe Escalation Window
Make a fair customer recovery decision when a policy-compliant answer risks eroding trust and the right response must remain proportionate.
View the customer service simulationThe Discharge Call
Protect duty of care when capacity pressure, incomplete coordination evidence, and uncertainty about patient support collide.
View the healthcare operations simulationBefore the Finding
Balance evidence, confidentiality, and procedural fairness before an employee-relations investigation has reached a finding.
View the employee relations simulationThe Lowest Bid
Own a supplier recommendation when public legitimacy, urgency, accountable spending, and incomplete assurance point in different directions.
View the public procurement simulationNeed a different workflow?
Tell us the role, difficult decision, source material, and programme context. StepSim can build a new template with you.
Request a new template
How it works
One decision lifecycle, adapted to the work and stakes.
The method separates how a participant reaches and revises a decision from the type of harm or loss at stake. That gives trainers a coherent structure without flattening every workplace into the same exercise.
Frame, investigate, weigh trade-offs, respect boundaries, commit, communicate, and revise.
Make the relevant human, financial, operational, information, trust, or community stakes concrete.
Preserve duty of care, public accountability, dependencies, and binding constraints where they materially change the call.
-
1
Frame the decision
State what must be decided now, what is unknown, who is affected, and what cannot be delegated.
-
2
Calibrate AI and evidence
Select and test relevant sources. Separate fact, inference, uncertainty, and unsupported confidence.
-
3
Weigh a proportionate action
Balance competing harms, benefits, timing, reversibility, and stakeholder effects.
-
4
Respect rights and boundaries
Apply authority, privacy, disclosure, approval, escalation, and execution limits.
-
5
Commit, communicate, and adapt
Issue a usable work product, respond to challenge, and revise when new evidence warrants it.
What managers see
See how the work was done.
Review replay makes judgment visible. Leaders can see the work a participant did, the evidence they used, and the patterns managers can coach across scenarios.
The replay supports a human-led coaching conversation. StepSim does not use it to rank employees, predict job performance, or make employment decisions.
- Individual review replay See what each participant opened, checked, chose, and wrote.
- Team readiness patterns Find recurring gaps across AI use, evidence checking, sensitive information, and escalation.
- Coaching notes Give managers plain-language prompts for follow-up.
- Follow-up practice Use replay evidence to focus the next scenario or coaching conversation.
What managers see after the run
Once the participant commits a position, the replay shows what they opened, checked, chose, and wrote.
Evidence usedCurrent source, policy, and approval limits
Team patternStrong checking; mixed pressure handling
Manager noteCoach safe updates when AI is confident but incomplete
Coaching actionRehearse hold/escalate language where evidence is incomplete
View the report preview
See how your people make the call.
Try the open sample, request access to the protected simulation library, or shape a scenario around the programme you already run.