TLDR
AISA is the best AI fluency measurement tool for enterprise. It measures what employees can actually do with AI in an adaptive conversation, scores it against a published rubric, and gives leaders a company-wide fluency score, team-by-team gaps and industry benchmarks, at a flat $10 per assessment.
Pick AISA for an evidence-based, organisation-wide measure of demonstrated AI fluency. Pick Workera for a broad enterprise skills platform with HRIS integrations, Section for a benchmark delivered with a consulting roadmap, Multiverse Skill Scan for a quick baseline that feeds a training programme, and Larridin or Worklytics if you want to track AI usage rather than test skill.
Most enterprises have bought the AI licences. Far fewer can say how well their people actually use them. Training completions and usage logs tell you who logged in, not who can brief a model well, catch a confident wrong answer, or redesign a workflow around AI. That gap is what AI fluency measurement closes: a defensible score for every employee and team, so leaders know where capability is strong, where it is missing, and whether training moved the number.
This guide compares the tools enterprise buyers shortlist to measure AI fluency across a workforce. They fall into three groups: conversational assessments that score demonstrated skill, test and benchmark platforms that check knowledge, and usage analytics that infer fluency from how people use AI tools. For each one you get how it measures, what the organisation-level reporting shows, which framework sits behind the score, and what it costs where pricing is published.
Our pick is AISA. It measures demonstrated skill through a 20 to 40 minute adaptive conversation, scores it against a published 5-dimension, 11-criterion rubric aligned to Anthropic's AI Fluency Index and the U.S. Department of Labor AI Literacy Framework, and rolls the results up into a company-wide fluency score with team-by-team gaps and industry benchmarks, at $10 per assessment with no subscription.
AI Fluency Measurement Tools compared
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| Tool | Price | How it measures | Organisation-level reporting | Scoring framework | Employee credential | Time per person |
|---|---|---|---|---|---|---|
| AISA (aisa.to) AI Fluency | $10 per assessment | Adaptive AI conversation scored on demonstrated… | Company fluency score, team-by-team gaps, indus… | Published 5 dimensions, 11 criteria; aligned to… | Free verifiable certificate | 20 to 40 min |
| Workera | Custom | Conversational, scenario, simulation and adapti… | Cohort, function and individual rollups, peer b… | Six AI readiness dimensions | Credentials earned by demonstrating skill | Not stated |
| Section | Custom | Employee diagnostic with hands-on tests, plus e… | Proficiency by department, 12-month KPI scoreca… | Four levels, Novice to Expert | Not stated | Not stated |
| Multiverse Skill Scan | Custom | Short conversation with an AI assessor | Department heatmaps, team benchmarking, exports | Four bands, New Area to Expert | Not stated | About 10 min |
| Larridin | Custom | Usage analytics via browser extension and deskt… | Department leaderboards, fluency 0 to 10, cost… | Usage stages, Observers to Power Users | No (no test) | No test, continuous |
| Worklytics | From $2,500/mo ($0 up to 100 users) | Usage metadata from connected workplace and AI… | Adoption by team and role, power users, stalled… | Adoption metrics, not skill | No (no test) | No test, continuous |
| iMocha | Custom | Multiple-choice AI Literacy Test | Employee progress reports, skills intelligence… | Listed topics, adjustable difficulty | Not stated | 20 min (10 questions) |
| Mercer AI Agility | Custom | Psychometric battery: personality, reasoning, p… | Talent mapping, skill gaps, adoption planning | Three-dimension AI Agility Framework | Not stated | About 72 min |
| Pluralsight | See site | Adaptive Skill IQ tests | Skills inventory, team and individual rankings | Role IQ role benchmarks | Not stated | 10 to 15 min |
| DataCamp for Business | See site | Skill assessments inside the learning platform | Team performance reports, skill matrix | Role-based benchmarks | Certifications available | Not stated |
| Skillsoft Skill Benchmarks | See site | Short knowledge benchmarks in Percipio | Proficiency gaps at scale | Beginner to advanced benchmarks | Not stated | About 10 min |
Highlighted rows are featured placements. Competitor details are set by each platform, so confirm on their site before buying.
The 11 best ai fluency measurement tools
AISA measures what your people can actually do with AI, not what they say they know. Each employee spends 20 to 40 minutes in an adaptive conversation with Aisa, an AI interviewer, with no prep and no answer key to memorise. A separate model scores the conversation against a published rubric of 5 dimensions and 11 criteria (Prompting and Communication, Critical Thinking, Technical Understanding, Workflow and Application, Safety and Responsibility), every score is tied to quotes from the conversation, and a final pass calibrates the result. Each person receives a 0 to 100 fluency score, criterion-level feedback, an AI persona and a personalised growth plan, plus a verifiable AISA certificate that is free with every completed assessment. For the organisation, the team dashboard rolls results up into one AI fluency score, shows strengths and gaps team by team, benchmarks you against your industry and produces board-ready reporting, so L&D can target training and re-measure to prove it worked. The rubric covers 93% of the observable fluency markers in Anthropic's AI Fluency Index and all 25 sub-competencies of the U.S. Department of Labor AI Literacy Framework, and 98% of people who retake land in the same or an adjacent tier. Data is hosted in the EU, is never used to train AI models, and integrity checks flag non-original answers. Pricing is $10 per assessment credit at any team size, with no subscription and credits that never expire.
Pros
- Measures demonstrated skill in a 20 to 40 minute adaptive conversation, not a multiple-choice quiz
- Organisation-wide fluency score, team-by-team gaps, industry benchmarks and board-ready reporting
- Published 5-dimension, 11-criterion rubric aligned to Anthropic's AI Fluency Index and the U.S. DOL AI Literacy Framework
- Free verifiable certificate for every employee who completes an assessment
- $10 per assessment at any team size, no subscription, credits never expire
Cons
- Focused on AI fluency, so it does not test coding or other technical skills
- No HRIS or LMS integrations listed on its site; rollout runs through bulk invite links
Best for: HR, L&D and transformation leaders who need a defensible, organisation-wide measure of AI fluency, team-by-team gaps and proof that training moved the number.
Workera
CustomWorkera is a skills intelligence platform that verifies AI capability through role-based assessments rather than self-reported surveys. Its AI readiness offering scores people across six dimensions, from AI fluency and prompt and agent design to AI risk, ethics and governance, using conversational role play, situational matching, simulations, live coding and multiple choice where it fits. Results roll up by cohort, function and individual, and an AI Readiness Score is benchmarked against industry and function peers. Workera also offers a builder for custom assessments and an always-on measurement layer, connects to HRIS, LMS and LXP systems through a native Workday integration, and lists SOC 2 Type II, ISO 27001, ISO 42001, GDPR and SAML SSO.
Pros
- Wide range of role-based AI assessments, from literacy to engineering
- Peer benchmarks with cohort, function and individual rollups
- Native Workday integration and a long list of stated security credentials
Cons
- No published pricing
- A broad skills platform, so it can be more than a team needs for an AI fluency baseline
Best for: Large enterprises that want verified, benchmarked AI skills data across every role, connected to their HR systems.
Section
CustomSection is an AI transformation company that combines software with advisory services. Its AI benchmarking offering starts with a Voice of the Employee diagnostic that assesses AI usage, proficiency, impact and perception, alongside interviews with executives. Employees land on a four-level scale from Novice to Expert, and leaders receive proficiency scores by department, a 12-month KPI scorecard, a map of adoption barriers and a month-by-month roadmap. Section also publishes a recurring AI Proficiency Report built on thousands of worker responses, and its team plans list corporate SSO, LMS integration and annual workforce benchmarking.
Pros
- Simple four-level proficiency model that is easy to explain to executives
- Department-level scores paired with a concrete 12-month roadmap
- Large published research base for context
Cons
- Delivered as a programme that includes consulting rather than a self-serve tool
- Team pricing is custom and security certifications are not stated on its pages
Best for: Leadership teams that want an AI proficiency benchmark tied to a consultant-built transformation plan.
Multiverse Skill Scan
CustomMultiverse is an upskilling provider, and Skill Scan is its assessment front door. Instead of a form or quiz, each employee opens a link and has a brief conversation with an AI assessor that explores real-world scenarios and places them on a four-band scale from New Area to Expert for each assessed skill. Multiverse says it takes about ten minutes, with no logins and no prep. Results aggregate across departments and cohorts, with heatmaps to spot systemic gaps, side-by-side team benchmarking and exports for L&D planning and board reporting. Findings feed directly into Multiverse's role-based AI training programmes.
Pros
- Low-friction conversational format, about ten minutes
- Heatmaps and side-by-side team benchmarking built in
- Direct path from assessment into structured training
Cons
- No security, compliance or integration details on its pages
- Most valuable if you also plan to train with Multiverse
Best for: Organisations that want a quick, conversational AI skills baseline that leads straight into a training programme.
Larridin
CustomLarridin takes a behavioural approach: it infers AI fluency from how people use AI at work rather than from a test. A browser extension and desktop app classify AI activity, processing most sensitive data on the device and sending summary statistics to the cloud. Leaders get department leaderboards that compare adoption, fluency scores, hours returned and cost per AI hour, and users are grouped into stages from Observers to Power Users. Larridin states SOC 2 Type II, GDPR and HIPAA compliance, role-based access, API access for custom reporting and an on-premise option for regulated industries.
Pros
- Continuous measurement with no test for employees
- Ties fluency to time saved and cost per AI hour
- Strong stated privacy and deployment options, including on-premise
Cons
- Measures observed usage, not judgment, so it cannot tell whether someone spots a wrong answer
- Requires an extension or desktop rollout, which usually means IT and privacy review
Best for: CIOs and transformation leads who want ongoing, department-level evidence of real AI use and ROI.
Worklytics
From $2,500/mo ($0 up to 100 users)Worklytics is a people analytics platform with a dedicated AI adoption dashboard. It connects to the systems a company already runs, including Microsoft 365, Google Workspace, Slack, Zoom, Copilot, Gemini, ChatGPT and coding assistants, and reports activation rates, usage frequency, power users and teams where adoption has stalled. It also classifies AI activity into work categories such as research, drafting and coding. Worklytics analyses metadata only, never prompt content, reports at team level, and states SOC 2 Type II and GDPR compliance. It is one of the few vendors here with published pricing, including a free tier for up to 100 users.
Pros
- Published pricing and a free tier
- No employee test and no extension, since it connects by API
- Metadata-only, de-identified reporting
Cons
- Measures adoption, not proficiency or judgment
- Team-level aggregation by design limits individual coaching insight
Best for: Organisations that mainly need to prove and track AI tool adoption across a large licensed estate.
iMocha
CustomiMocha is a skills intelligence and assessment platform used for both hiring and workforce development. Its AI Literacy Test is a short multiple-choice assessment, 10 questions in 20 minutes, covering AI and machine learning fundamentals, prompt crafting, responsible use and evaluating AI output, with adjustable difficulty and room for custom questions. Beyond single tests, iMocha's skills intelligence product tracks evolving job profiles and estimates AI automation potential per role, which helps HR plan reskilling. It lists SOC 2 Type II, ISO 27001:2022 and GDPR, and integrations with Workday, SAP SuccessFactors and Lightcast.
Pros
- Quick to deploy and easy to customise
- Named HRIS integrations, including Workday and SAP SuccessFactors
- Role-level AI impact view for workforce planning
Cons
- A 10-question multiple-choice test measures knowledge more than applied skill
- No published pricing
Best for: HR teams that want a customisable AI literacy test connected to an existing HRIS and skills taxonomy.
Mercer AI Agility
CustomMercer's AI Agility Framework looks beyond AI knowledge to the traits and abilities that predict how well people adapt to AI-driven work, across three dimensions: behavioural predispositions, cognitive abilities, and knowledge and skills. The core battery for non-technical staff combines a personality inventory, an abstract reasoning test and a prompt engineering test, about 72 minutes in total on the Mercer | Mettl page, with separate versions for software developers and leaders. Mercer positions the results for talent mapping, skill gap analysis and enterprise-wide AI adoption planning, with AI-based proctoring and more than 20 languages.
Pros
- Psychometric approach from an established people-science firm
- Measures adaptability and reasoning as well as skills
- Multilingual, with versions for leaders and developers
Cons
- Long, at around 72 minutes for the core battery
- The Mercer | Mettl page limits availability to APAC, MEA and LATAM
Best for: Multinational HR teams in supported regions that want a psychometric view of AI readiness for talent planning.
Pluralsight
See sitePluralsight is a technology skills platform whose assessment layer is built around Skill IQ and Role IQ. Skill IQ tests are adaptive, take about 10 to 15 minutes and rank results against peers, and people can retake every 14 days to track progress, while Role IQ checks whether teams have the skills for specific technical roles. Its AI Academy programme adds individual AI skill assessments and readiness tracking. Organisations get skills inventory analytics with team and individual rankings, both business plans include all assessments, and SSO is sold as an add-on professional service.
Pros
- Fast adaptive tests with retakes to track progress
- Large assessment catalogue and role-based benchmarks
- Assessment, learning and analytics in one platform
Cons
- Catalogue leans technical, so non-technical AI fluency is less of a focus
- SSO is a paid add-on
Best for: Technology-heavy organisations benchmarking the AI and technical skills of engineering, data and IT teams.
DataCamp for Business
See siteDataCamp for Business is a data and AI learning platform that includes skill assessments and a skill matrix for tracking AI upskilling readiness and progress across teams. Admins identify skill gaps with assessments and role-based benchmarks, then assign learning such as its AI Fundamentals tracks, and reporting covers skill development, adoption and impact. Teams plans include Google and Microsoft SSO, while Enterprise adds SAML SSO, LMS and LXP integrations and custom reporting templates. Assessment is one part of a wider training product rather than a standalone measurement tool.
Pros
- Self-serve Teams plan with published per-seat pricing
- Assessments, skill matrix and learning content in one place
- Enterprise SSO and LMS integrations
Cons
- Assessment format and depth on AI fluency are not described on its pages
- Best suited to buyers who also want DataCamp's training content
Best for: Organisations building data and AI literacy together that want assessments built into the training platform.
Skillsoft Skill Benchmarks
See siteSkillsoft is a large corporate learning provider whose Skill Benchmarks give organisations a quick read on proficiency across technical, AI and business skills. AI benchmarks range from beginner literacy checks for non-technical employees, which take around ten minutes, to advanced generative AI topics for IT teams, and each one points learners to recommended content in Skillsoft's Percipio platform. Skillsoft positions them as a way to identify proficiency gaps at scale and prioritise learning investment. Because the benchmarks are short knowledge checks, they work best as a fast baseline for organisations already using Skillsoft content.
Pros
- Wide catalogue, including non-technical AI literacy benchmarks
- Short format with little employee burden
- Links straight to remediation content
Cons
- Short knowledge checks give limited depth on applied AI judgment
- Organisation reporting, security and pricing details are not on its benchmark pages
Best for: Existing Skillsoft or Percipio customers that want a quick AI literacy baseline tied to their learning library.
Three ways to measure AI fluency
Conversational assessments put each person in a guided conversation with an AI interviewer and score what they demonstrate. AISA and Multiverse Skill Scan work this way, and Workera includes conversational role play among its formats. This is the closest a scalable tool gets to watching someone work with AI, and it is hard to game because there is no fixed answer key.
Test and benchmark platforms such as Pluralsight, iMocha, Skillsoft, DataCamp and Mercer use multiple-choice, adaptive or psychometric tests. They are quick to run and easy to compare, but a knowledge test shows what someone knows about AI more than how well they use it.
Usage analytics such as Larridin and Worklytics skip the test and infer fluency or adoption from activity in AI tools. They give continuous data with no employee effort, but activity is not judgment, and they need an extension, desktop agent or API connections to be approved and deployed.
What enterprise buyers should look for
Evidence over self-report. People routinely overrate their AI skills, so choose a tool that scores demonstrated skill and ties each score to evidence. AISA links every criterion score to quotes from the employee's own conversation.
A framework you can defend. The board will ask what the score means. Look for a published rubric and alignment with recognised references such as Anthropic's AI Fluency Framework and the U.S. Department of Labor AI Literacy Framework, plus evidence of reliability, such as consistent results when people retake.
Reporting that drives decisions. The output that matters to leaders is the organisation-wide score, team-by-team gaps, an industry benchmark and a way to re-measure after training. Then check the practical items: data residency, whether customer data trains AI models, integrity checks, and whether pricing scales cleanly from a pilot team to the whole company.
How we chose
We visited every tool's own website in October 2026 and took the measurement method, reporting features, security statements and pricing from what each site publishes. Where a site does not publish a detail, the table says so rather than guessing. Tools were ranked on how directly they measure demonstrated AI skill, the depth of organisation-level reporting, the transparency of the scoring framework, and how easily they roll out across a large workforce.
Frequently asked questions
What is the best AI fluency measurement tool for enterprise?
AISA is the best AI fluency measurement tool for most enterprises. Each employee completes a 20 to 40 minute adaptive conversation with an AI interviewer, scored against a published 5-dimension, 11-criterion rubric, and leaders get a company-wide fluency score, team-by-team gaps and industry benchmarks. Pricing is $10 per assessment at any team size, with no subscription.
What is AI fluency?
AI fluency is the demonstrated ability to work effectively with AI: briefing it well, judging its output, understanding its limits, building it into real workflows and using it safely. It goes further than AI literacy, which is mostly knowing what AI is. Anthropic's AI Fluency Framework describes it as four competencies: Delegation, Description, Discernment and Diligence.
How do you measure AI fluency across an organisation?
Assess every employee against the same rubric, then roll the scores up by team, function and region. The most reliable approach scores demonstrated skill rather than self-reported confidence, since people tend to overestimate their own ability. Re-measure after training to show whether fluency moved. AISA, Workera, Section and Multiverse Skill Scan all report at organisation level; Larridin and Worklytics track usage instead of testing skill.
What is the difference between AI fluency assessment and AI adoption analytics?
An assessment measures what a person can do with AI, through a conversation, scenario or test. Adoption analytics, such as Larridin and Worklytics, measure how often and where people use AI tools. Usage shows activity but not quality: a heavy user can still trust a hallucinated answer. Many enterprises use an assessment to measure capability and analytics to track usage.
Does the EU AI Act require AI literacy for employees?
Yes. Article 4 of the EU AI Act, which has applied since 2 February 2025, requires providers and deployers of AI systems to take measures to ensure a sufficient level of AI literacy among their staff. A consistent, documented assessment of AI fluency is one practical way to show what level your workforce has reached and where training is needed.
How much do AI fluency assessments cost?
Most enterprise platforms in this comparison, including Workera, Section, Multiverse, Larridin, iMocha and Mercer, price on request. AISA publishes a flat $10 per assessment credit at any team size, with no subscription and credits that never expire. Worklytics publishes a free tier for up to 100 users and paid plans from $2,500 a month.
The bottom line
Adoption is not fluency. To know whether your AI investment is turning into capability, you need a score built on demonstrated skill, a framework you can defend to the board, and reporting that shows which teams need help. AISA delivers all three with the least friction: one conversation per person, a free certificate for every employee, and a team dashboard that tracks improvement over time.