Use Case · AI Readiness Assessment
Know which of your people
are ready for AI.
And which aren't
Every function is being reshaped by AI. The gap between those who can adapt and those who can't is already widening — and most organisations don't know where they stand. Anthropos gives you verified, role-by-role AI readiness data so you can act before the gap becomes a crisis.
The problem
Most organisations are managing skills they can’t actually measure
Three reasons the skills data you have right now is probably wrong — and what it’s costing you.
Self-reported data is wrong by design
When employees fill in their own skills profiles, they over-rate confidence-linked skills and under-report technical gaps. When managers rate their teams, they avoid difficult conversations. Either way, you’re making workforce decisions on data that flatters rather than informs.
You find out about gaps too late
Capability gaps surface in the wrong place: a missed delivery deadline, a failed promotion, surprise attrition from a key team. By the time a gap shows up in a review cycle, the cost is already sunk. Annual processes are too slow for the pace at which skills need to evolve.
Development without a baseline is guesswork
Without knowing what someone can actually do at the start, you can’t target L&D investment. High performers sit through content they already know. Struggling employees get the same programme and fall further behind. And nobody can prove whether the investment changed anything.
The Anthropos approach
Map AI readiness. Verify skills. Develop from evidence.
Three steps that replace guesswork with a verified, living picture of capability across your organisation.
01
Map
Define what good looks like — by role, by level
Start from Anthropos's 60,000-skill taxonomy, mapped across 18,000 roles. Select the 15–20 skills that define high performance for each function in your organisation and set expected competency levels (0–5) by seniority band. This becomes the benchmark every assessment is measured against — consistent, auditable, and tailored to your organisation rather than a generic standard.
02
Verify
Assess through immersive AI Simulations — not surveys
Each person works through a 30–45 minute scenario tailored to their role: a high-stakes account call, an architecture decision, a budget defence under CFO pressure, a production incident. They interact with AI actors via voice and chat — exactly as they would in a real situation. AI scores every response against a defined behavioural rubric. No interviewer. No self-assessment. Demonstrated performance.
03
Develop
Turn verified gaps into targeted development — automatically
Assessment results feed directly into personalised Skill Paths and development programmes built around each person's specific gaps. Reassessment runs automatically at configured intervals. HR and department heads see aggregated views — where the team is strong, where the collective gaps are, and how capability changes over time as development programmes run.
Role assessments
Skills assessment across every function
Nine role assessments ready to deploy. Each one built around the skills that actually define performance in that function — with a curated simulation from the Anthropos library and a full guide to skills covered.
Sales & Marketing Manager
Commercial judgment, pipeline management, team coaching, and executive communication under revenue pressure.
Software Developer
Debugging, system design, code quality, and engineering communication — verified in realistic technical scenarios.
Project Manager
Scope management, stakeholder alignment, delivery under pressure, and budget defence — tested through real crisis scenarios.
Customer Service Manager
Enterprise escalation handling, SLA management, service recovery, and team leadership tested through high-stakes scenarios.
Finance Manager
Budget management, forecasting accuracy, CFO communication, and business partner influence — verified under real financial pressure.
Product Manager
Roadmap prioritisation, cross-functional alignment, trade-off communication, and stakeholder management in competing-priority situations.
Software Engineer
Architectural judgment, technical leadership, code review, and cross-team influence — assessed at senior and staff levels.
DevOps Engineer
Incident response, cloud security decisions, CI/CD management, and executive communication during production failures.
AI Engineer
Production AI judgment, responsible deployment decisions, and cross-functional communication when models behave unexpectedly.
What you get
Intelligence your HR and leadership team can actually act on
Not a score and a PDF that gets filed away. A live, evolving picture of capability across your organisation — connected to development and tracked over time.
Individual skill scores
Each person receives competency levels (0–5) across every assessed skill, with specific behavioural feedback tied directly to their simulation performance — not a generic rubric.
Team and function views
Aggregate the data up to team, department, or function level. See where your organisation is strong, where the collective gaps are, and which teams need priority attention.
Personalised development plans
Gaps automatically generate targeted Skill Paths and development programmes built around what each person actually needs — not a generic programme sent to everyone.
Progress tracked over time
Reassessment runs automatically at configured intervals. Prove that development investment is changing actual capability — not just completion rates on a learning platform.
Internal mobility matching
Match people to open roles based on verified skill profiles, not self-reported CVs or manager intuition. Identify who is ready to step up before a vacancy forces a rushed decision.
HRIS and LMS integration
Skills data flows into your existing HRIS and learning platforms via pre-built integrations with Workday, SAP SuccessFactors, and others. No duplicate data management.
In practice
How organisations are using Anthropos today
From enterprise skills mapping to targeted upskilling programmes — a selection of how customers are deploying skills assessment at scale.
Italgas
Energy & Utilities
Skills mapping
+ assessment
+ assessment
Organisation-wide skills mapping combined with AI Simulation-based verification — building a verified skills baseline to inform workforce planning and L&D investment.
FS — Italian Railways
Transportation
800 people
12 roles
12 roles
€100K proof of concept covering 800 employees across 12 role families — using a Knowledge Owner model where internal experts validate and create role-specific simulation content.
BNP Paribas
Banking & Financial Services
9,000
employees
employees
Large-scale skills assessment programme across 9,000 employees — replacing self-reported skills profiles with objective, simulation-verified data to drive talent decisions.
Micron
Semiconductors
Internal
mobility
mobility
Using verified skills data to power internal mobility — matching employees to open roles based on demonstrated capability rather than self-reported profiles or manager intuition.
Start with one team. See real skills data in two weeks.
No HRIS integration required to get started. A pilot runs in under two weeks and gives you verified skills data you can act on immediately.