The AI capability assessment platform where every score has the work behind it
Codility AI for Business runs real, AI-assisted work simulations for every role that uses AI. People do actual work with AI in the loop, and the score comes from what they produce, measured the same way every time. Every AI interaction is captured for review.
A business-role simulation report. The score comes from the work produced and the test cases it has to pass, with the AI interactions there for review.
Trusted by teams at GitHub, SpaceX, Tesla, EY, SAP, Barclays, and Citi
Codility is rated 4.6 of 5 across 900+ G2 reviews and ranked #1 for Enterprise Technical Skills Screening & Skill Management. Rankings come from verified customer reviews, not paid placements, and are updated quarterly.
The board asked who can actually work with AI. The dashboard can’t answer.
Most companies under an AI mandate are measuring proxies:
Training completion dashboards
The licences are on, the courses are done, the dashboard is green. Completion proves attendance. Whether anyone can apply what they clicked through is a question the dashboard can’t answer.
Multiple-choice AI quizzes
Ten minutes of definitions and tool trivia. A quiz score tells you who studied. Plenty of people pass one without ever having shipped a piece of work with AI.
Self-report questionnaires
Fifteen minutes of “how confident are you with AI?” measures exactly that: confidence. When a hiring or promotion decision gets challenged, a self-description defends nothing.
Doing nothing
Probing for AI skill in interviews, manager by manager, with no standard and no record. The most common approach in the market today.
Then somebody asks who here can genuinely get work done with AI, and the room goes quiet.
Give people real work, with AI in the loop, and score what comes out
An AI capability assessment platform measures whether specific people, candidates and employees, can genuinely get work done with AI. That is a different question from organizational AI maturity (does the company have the strategy and the data?) and from knowledge checks (can someone define the terms?).
AI for Business: verified evidence of who can get real work done with AI, in every role that uses AI.
People complete real work simulations with AI available. The score comes from the work they produce, measured against test cases the same way every time. Every AI interaction is captured as reviewable activity.
The score is evidence you can look at: actual work product. And it runs on the assessment engine Codility has operated at enterprise scale for almost two decades, in a category where most of the competing tools launched this year. Available now, on the plans customers already have.
Test whether candidates can deliver work with AI, before the offer
Add one assessment to the hiring process for any business role, through Codility Screen. Candidates work through a simulation with AI available, the way the job actually works now: they frame the task, work with the AI, and submit real output. It plugs into the applicant tracking system you already run.
No more hiring on a CV claim of “proficient with AI.” The shortlist is built on work someone actually produced.
One added step in the hiring process: a work simulation with AI in the loop.
Role-agnostic tasks: the same problem-solving standard across business functions.
Test problem solving with AI, without building a task per department
The AI for Business tasks are role-agnostic by design: an AI meeting-tool task, a compliance-prompt task, the kind of knowledge work that turns up across business functions. What they measure is whether someone can frame a problem, work with AI on it, and produce something usable. Role-specific work varies so much between companies that most teams get a cleaner read from a common task everyone runs.
One yardstick across marketing, sales, finance, and operations. Nothing to commission before you can start assessing.
Defend every score when someone challenges it
Scoring is deterministic: work is measured against test cases, so the same submission produces the same score every time, with no generative model deciding who passes. The AI interactions from the assessment sit alongside the score, so a reviewer can see how someone got there. Codility scores the work; you make the decision. The platform doesn’t rank people out, build the shortlist, or decide on a hire. Behind it: SOC 2 Type II, ISO 27001, GDPR, EU or US data hosting with EU data in Frankfurt, and no training of AI models on your candidate or employee data.
A record of the decision that holds up when someone questions it: a candidate, an auditor, or your own legal team.
What produced the score: the work and the test cases it passed. The AI interactions are there for review.
The same assessment works on the people you already employ
Hiring is where most teams start. When the question turns to the people already on the payroll, the same simulations run against existing teams through Skills Intelligence: per-person and per-team capability from scored work, on the same yardstick you hire against.
What no quiz can claim
The score comes from work someone actually produced
Quiz tools score recall. Questionnaire tools score self-description. Some newer tools have a generative model grade the output, which means the same submission can score differently twice. Codility measures real work product against test cases. A score you can override or appeal is a score you can’t defend.
A new category, on a proven engine
Most AI skills assessment tools shipped this year. AI for Business runs on the engine Codility has used to assess candidates at enterprise scale for almost two decades: same scoring, same integrations, same compliance posture. You’re not trusting a hiring decision to a brand-new system.
Why enterprises pick the evidence
Don’t test whether my people know the AI tools. Test whether they can actually solve a problem with them.
EnterprisTalent Acquisition Leader from an Enterprise customere customer, on what an AI capability assessment has to do
Codility is rated 4.6 of 5 across 900+ G2 reviews and ranked #1 for Enterprise Technical Skills Screening & Skill Management. Same platform, same scoring engine, now assessing AI capability in every role that uses AI.
Frequently asked questions
An AI capability assessment platform tests whether specific people can get real work done with AI, and produces a score per person. People complete role-relevant work with AI available, and the output is evaluated. It answers “who can deliver with AI?” for hiring decisions and workforce baselines.