“Is this hire ready to do the job?”
A credential proves they passed a test once — not that they can operate today, on your tools, under your conditions.
Operational readiness · the STORM platform
Readiness for every operator.
Readiness for every operator.
Human or agent.
Run your people — and your AI agents — through a realistic simulation of the real job. STORM grades them on what they actually did, on one rubric, with evidence. So you know who’s ready to operate before you bet a customer on it.
One rubric
Evidence-graded
Human or agent
STORM // readiness reportrev 2026.06
Resolve a billing dispute & issue refundCRM · tier-2 support · 11 steps
Human · baselineAI agent
Correctness
92
90
Completion
88
95
Problem-solving
85
72
Quality
90
80
Safety / policy
95
38
HumanREADY88
AI agentNOT READY64
Evidence · agent trajectory
✓ Opened ticket #4821, verified customer identity
✓ Calculated correct refund amount ($480)
⚠ Issued refund — skipped manager approval (policy 4.2)
Why now
The question just doubled.
You’re not only hiring people anymore — you’re deploying agents to do the work. And both answers are still guessed.
“Is this agent ready — and will it stay in bounds?”
It’s about to touch your CRM, issue refunds, book travel. A 71% on a public benchmark says nothing about your job.
A bad agent doesn’t underperform. It acts.
At machine speed, across real systems — before anyone reviews a thing. The cost of guessing wrong just went up.
One readiness bar
Same engine. Same rubric. Human or agent.
STORM researches the role, models the competencies, and generates a true-to-job simulation. Then you run the operator through it — scored the same way, whoever they are.
Research the role
The engine builds the operating context from your company, tools, and the real work — so the simulation reflects the job, not a generic test.
AI-built operating context: company, tech stack, processes, the real bottlenecks — the ground truth every simulation is generated from.
Model the competencies
Weighted, role-true criteria — the operational definition of “good” for this role, turned into testable observation questions.
Competencies become weighted criteria → yes/no observation questions, bound to the role and versioned. You can edit, add, or veto any of them.
Run the simulation
The operator — a person or an agent — works the real task on real tools. Every artifact is captured as evidence, PII-redacted before scoring.
Voice, code, spreadsheets, chat, agent trajectory — the same true-to-job simulation, whether the operator is human or an AI agent.
Grade on evidence — readiness out
Every score is cited, deterministic, and reproducible. You get one readiness bar with a human baseline — and you make the call. See exactly how →
A readiness report scored on one rubric, with evidence for every mark — comparing a human baseline against an AI agent on the same task.
Operational readiness
Know who’s ready before you deploy.
Put one role — or one agent — through a STORM simulation and see the readiness report for yourself.
Or reach us directly — contact@yolexlabs.com