Platform · AI Readiness

Score your workforce on AI readiness.
Brief your board with verified data.

Three tiers. One score per person, team, and business unit. Built from AI Simulations and AI Interviews — not from a survey.

“The board is asking what we’re doing about AI. I don’t have an answer.”— CHRO, European enterprise
3
AI readiness tiers
Live
Score after every assessment
30+
AI Skill Paths to close the gap
75%
Less assessment time
The problem

Every CHRO is getting the board question. Most don’t have a credible answer.

There are three answers companies give when asked about their AI readiness. None of them stand up in a board meeting.

“We bought Copilot licenses”

License adoption is not skill adoption. A Microsoft invoice tells you nothing about whether your 5,000 people can actually work with AI — or whether it’s changed anything.

“We completed the AI training”

Completion rates tell you who clicked play. They say nothing about whether anyone changed how they work — or could pass a real AI task in their role today.

“We ran an AI readiness survey”

Self-assessed AI readiness is not AI readiness. It reflects confidence, not competence. And confidence is notoriously uncorrelated with actual demonstrated skill.

Three tiers

From AI Aware to AI Native — every role, every team

Anthropos maps every person in your workforce across three tiers using verified assessment data — not survey answers. Then aggregates the picture at team, BU, and org level.

01
Tier 1

AI Aware

Understands what AI is, how it affects their role, and can engage in AI-related conversations with confidence.

  • AI literacy fundamentals
  • Understanding AI use cases
  • Data & ethics basics
  • Change readiness
02
Tier 2

AI Proficient

Actively uses AI tools to accelerate their work. Designs prompts, validates outputs, integrates AI in their workflow.

  • Prompt engineering
  • AI-assisted workflows
  • Output quality review
  • Tool integration
03
Tier 3

AI Native

Builds, leads, or governs AI-augmented systems. Can design AI use cases and lead AI initiatives across the org.

  • AI system design
  • Cross-functional AI leadership
  • Governance & risk
  • AI roadmapping
Per person
Individual tier placement with gap detail by skill category.
Per team
Tier distribution across a team or department in one view.
Per business unit
BU-level AI readiness score for executive reporting.
Org-wide
A single number — and a tier breakdown — for the board.
How the score is built

Verified, not self-reported — three signals combined

The AI Readiness Score is derived from three complementary sources. Together they produce a number you can defend — in a board deck or a 1-to-1 with a business unit lead.

Signal 1

AI Simulations

Immersive 30–45 minute scenarios where employees work through real AI tasks in their role context — prompt design, output validation, AI-assisted decision-making. Behavioral evidence, not opinions.

Signal 2

AI Interviews

Qualitative data at scale. The AI Interview captures how people actually use AI tools today — sentiment, context, friction, and aspiration. What numbers alone can’t reveal.

Signal 3

Skill Path progress

Completed AI Skill Paths feed into the score as verified learning signal — not completion certificates, but paired with AI Simulation reassessment to confirm the skill transferred.

One score. One source of truth.

The AI Readiness Score isn’t an average of survey questions or a self-declaration count. It is the output of verified assessment — simulation results, interview signals, and learning evidence combined into a single tier placement per person.

Every time a person completes an assessment or skill path, the score updates. Your CHRO always has a live view — not a six-month-old spreadsheet.

The output aggregates cleanly at every level: person → team → BU → org. One set of data. No reconciliation.

AI Readiness Score — org-wide tier view
Screenshot from Acme Corp demo org
What you do with it

Three actions a CHRO takes the week after deployment

An AI Readiness Score is only useful if it drives decisions. Here is what CHROs use it for from day one.

Brief the board

A tier breakdown by BU — percentage of workforce at Aware, Proficient, Native — with a trend line. The board question, finally answered with data.

Prioritize upskilling spend

Scores reveal which teams and roles are furthest behind. Investment goes to where the gap is largest — not to whoever made the loudest request in the last planning cycle.

Prove the program worked

Run a baseline before the upskilling program. Run the same assessment after. Show the board a before-and-after delta per BU — not a completion certificate.

Where it fits in the platform

Phase 5 of the 5-Phase Methodology

AI Readiness is the output of the integrated reporting layer — all five signals combined into one view.

Phase 1
Auto-mapping
CV · HRIS · LinkedIn · external sources
Phase 2
Guided self-evaluation
Confirm what people think they can do
Phase 3
AI Simulation
30–45 min behavioral verification
Phase 4
AI Interview
Qualitative signal — sentiment, context, aspiration
Phase 5 ← you are here
Integrated analysis
AI Readiness Score — per person, team, and org
Common questions

Frequently asked

Questions CHROs ask before deploying AI Readiness.

How is the AI Readiness Score different from a self-assessment survey?
A survey asks employees to rate themselves. The AI Readiness Score is derived from verified assessment data — AI Simulations that put people in real AI tasks, and AI Interviews that surface how they actually work with AI tools. Self-assessment is a starting point for discussion; this is evidence.
How long does it take to get a baseline score for the whole org?
Most companies reach a statistically meaningful baseline within 4–6 weeks of deployment — depending on org size and how assessments are scheduled. You can get an initial directional view much faster if you start with a sample of priority roles or BUs.
Can we compare scores across departments or geographies?
Yes. The score aggregates at any org dimension — team, department, BU, location, role family. You can slice the tier distribution any way you need for board or executive reporting.
How does AI Readiness connect to the upskilling programs?
AI Readiness is the diagnosis; upskilling is the prescription. Once the score reveals where the gaps are, Anthropos recommends AI Skill Paths tailored to each tier and role. After the program runs, a reassessment tracks tier movement — so you can show the board a before-and-after delta.
Does AI Readiness work for non-technical roles?
Yes. The three tiers (Aware, Proficient, Native) are role-agnostic by design. The AI Simulations and Skill Paths are available for tech and non-tech roles — from front-line managers to commercial teams to finance and operations. AI readiness is an org-wide challenge, not just an engineering challenge.
AI Readiness

Ready to see your AI Readiness Score?

Get a verified baseline. Prioritize investment. Show the board a number you can defend.