AIMI Superday is a simulation-based hiring assessment that measures how candidates in consulting, finance, operations, and product actually use AI under pressure. We surface judgment gaps, data hygiene risks, and leverage behavior before they become costly hires.
Get early beta access and be among the first to run a live AIMI Superday assessment.
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Thank you for your interest in AIMI. We'll be in touch as we approach launch with early access details.
AI is the fastest-moving shift in professional work in a generation. Every industry is changing, but there is no shared standard to measure who is actually keeping pace and who is falling behind.
AIMI Superday is building that standard. We design role-specific, 4-phase assessments that put candidates into real work scenarios and measure how they use AI: when they rely on it, when they push back on it, how they handle sensitive data, and whether they stay accountable for their output.
Each candidate works through a structured scenario with an embedded AI copilot, a roadmap builder, and a mid-session shock: a new constraint dropped partway through that forces real-time adaptation. The result is a structured submission your hiring team can score against consistent criteria.
The hiring process has no reliable signal for AI judgment. Only self-reported claims and polished outputs that reveal nothing about how a candidate actually behaves.
Every major firm is deploying AI, but no standard exists to measure how responsibly or effectively employees use it in the context of their actual job.
Pasting confidential data into a public model, trusting hallucinated outputs, shipping unreviewed AI work. These behaviors happen at scale with no accountability in hiring.
Knowing what AI can do is easy. Knowing when to question it, when not to use it, and how to stay professionally accountable is rare and currently unverifiable.
No generic surveys. No self-reported answers. A real work simulation that reveals how your team actually behaves with AI under pressure.
Candidates work through a 4-phase, role-specific scenario with an embedded AI copilot and a roadmap builder. A mid-session shock mechanic drops a new constraint partway through to test real-time adaptation. There's no way to cram for it.
AIMI Superday captures every answer, every copilot call, every roadmap node, and time spent per section. Scoring focuses on verification discipline, data hygiene, leverage mindset, and how candidates adapt when constraints change mid-session.
Every completed Superday produces a structured submission: answers by phase, a completed roadmap, an AI copilot usage log, and time-on-task data. Your hiring team gets a complete behavioral picture, not just a final deliverable.
Scroll through to see how AIMI turns a 2-hour hard stop into a complete picture of your team's AI readiness.
Every other AI assessment tests what people know about AI. AIMI is the only tool that puts candidates under real work pressure and observes what they actually do: when to use AI, when to push back on it, and whether they stay accountable for the result.
Hard stop per candidate. Four structured phases with built-in time pressure and a mid-session shock.
Roadmap score weight. The remaining 35% is the final deliverable, scored on execution under real constraints.
of executives say AI competency is a top hiring priority, yet no standardized measure exists.
Behavior is observed, not declared. No surveys. No checkbox literacy tests.
As AIMI scales, your team's data becomes part of a live industry benchmark updated in real time.
Scale a cross-functional AI initiative at a global logistics firm. Navigate uneven team adoption, a skeptical COO, and a mid-session constraint that forces you to adapt your rollout plan without revisiting prior work.
Lead M&A advisory on a live acquisition. Build a valuation and strategic rationale, then absorb a $15M legal settlement mid-session that shifts your deal recommendation without altering prior work.
Diagnose rising fulfillment costs and SLA breaches across a regional distribution network. Build a remediation plan, then respond to a mid-session supplier disruption that forces you to re-prioritize on the fly.
Lead the launch strategy for a smart home device across three competing paths. Build your recommendation, then respond to a mid-session activation data drop that challenges your original thesis without changing prior work.
AIMI does not test what you know about AI. It measures how you behave when using it under real pressure, scored 65% on your roadmap and 35% on your final deliverable.
Do you use AI to structure thinking without outsourcing your judgment?
Do you validate AI output before it reaches stakeholders?
Do you protect sensitive information when working with AI tools?
Do you use AI to improve quality and deepen thinking, not just cut time?
Can you make sound tradeoffs under real time, scope, and quality pressure?
AIMI Superday gives your hiring team a role-specific, simulation-based picture of how each candidate approaches AI under pressure. It reveals verification discipline, data hygiene habits, and whether candidates stay accountable when their initial assumptions are challenged mid-session.
Each track is built around the actual work of that profession, not a generic AI literacy test anyone can cram for.
AIMI evaluates how candidates reason, handle risk, and maintain accountability. Scores are consistent and defensible across any hiring context.
As AIMI scales, your team gains access to live data on how AI competency across your industry is shifting over time.
Join the beta and be among the first to run a live AIMI Superday assessment with real candidates.
Please fill all fields correctly.
Thank you for your interest in AIMI. We'll be in touch as we approach launch with early access details.