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AI-Readiness Assessments

Stop guessing who’s AI-ready. Verify it.

Most enterprise AI programs measure logins and course completions, not capability. The AI Readiness Index replaces self-reported confidence with performance-based evidence, benchmarked role by role.

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5 personasWeeks to a company-wide baseline
app.imocha.io/ai-readiness
68%of employees meet the role-ready bar, verified across five AI personas
82%
Adopter, Everyday, non-technical AI users

Signature capabilities

Generative AI fluency, responsible AI use at work

Target roles

Recruiters, sellers, marketers, customer ops, finance, HR, frontline staff

Sample index. Scored on real AI task performance.

L’OréalEricssonDeloitteEYFPTPhilip Morris InternationalTiger Analytics
The index

One index. Every function. Every level.

Deploy as a single assessment wave for a company-wide index, then drill into function, team or geography. A defensible baseline of AI capability, with no heavy administrative lift.

Built role by role

Each persona is scoped to the tasks that role actually performs.

Board-ready baseline

The same engine iMocha uses to validate technical and functional skills.

Readiness by persona
Average readiness 65%Sample data
82%
71%
64%
57%
49%
AdopterOperatorBuilderArchitectStrategist
AI-Prompt Simulator

Real AI tasks, scored on six dimensions.

AI-Prompt Simulator
Scenario brief: The enterprise proposalYou’re an Account Executive. A Fortune 500 retailer wants a proposal for a 12,000-employee rollout after a pilot. Highlight pilot results, but don’t commit to custom development timelines.

Pick a prompt to score, or write your own

Prompt A

Context0/5
Goal clarity0/5
Constraints0/5
Output format0/5
Audience0/5
Verification0/5
Fluency score0 / 5

Dimension names are placeholders until confirmed.

AI-Assisted Coding
SELECT buyer_id, island_grp,
       COUNT(*) AS consecutive_count
FROM purchases
GROUP BY buyer_id, island_grp;
The count is off when a buyer has duplicate dates. Expected 3, got 4.
Deduplicate dates before building the islands, then recount.

What the assistant use is evaluated on

Context quality4/5
Critical thinking4/5
Collaboration3/5
AI-Assisted Coding

Watch engineers build alongside AI.

In AI-Assisted Coding, engineers work in a live coding environment and are scored on how well they direct, review and refine what the model produces. The assistant supports syntax and debugging, never the solution.

Proof, not proxies.

01

Proof, not proxies

Every persona track is scored against real AI task performance.

02

Built role by role

Different roles need different AI fluency, from frontline staff to the C-suite.

03

Baseline in weeks

One assessment wave for a company-wide index, with drill-downs.

04

Board-ready baseline

A defensible view of how people actually use AI at work.

Questions, answered.

What is AI-readiness?

Whether your workforce can actually apply AI to the work their roles require, not whether they’ve been trained or given access. It’s measured role by role.

How is AI-readiness different from AI adoption?

Adoption measures activity like licenses, logins and course completions. Readiness measures demonstrated capability.

Why aren’t course completions enough?

Completions confirm exposure, not competence. Someone can finish every module and still be unable to prompt well or spot a flawed output.

How quickly can we baseline the organization?

It deploys as a single enterprise assessment wave, so a company-wide baseline comes back in weeks.

What do we do once we know where the gaps are?

Close verified gaps with targeted upskilling through the learning tools you already use, then prove progress with scheduled re-assessment against the original baseline.

Built for both sides of talent.

The same evidence serves recruiting leaders and the teams who develop people.

For talent acquisition

Hire people who work well with AI.

  • See how candidates frame problems and steer AI
  • Separate real fluency from confident claims
  • Score every candidate on the same rubric
See hiring solutions
For talent management

Know your workforce’s real AI capability.

  • Baseline AI fluency across every function
  • Target upskilling at verified gaps
  • Re-assess to prove progress to the board
See development solutions

Start with a focused pilot.

One or two roles, or one team. We help you pick the assessments, run them with real people and compare the results with your current process.

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