“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