AI Competency Identification for Any Role
Stop guessing which competencies matter. AI analyzes your job descriptions to identify and prioritize the competencies that predict success.
Key Features
Job Description Analysis
Paste any job description and AI identifies the key competencies required for success in the role.
Competency Mapping
AI maps extracted requirements to our library of 35+ validated competencies.
Importance Weighting
Get suggested weights for each competency based on how prominently it features in the role.
Gap Detection
AI identifies competencies that may be missing from your job description.
Industry Benchmarks
Compare identified competencies against typical profiles for similar roles.
One-Click Application
Apply AI-identified competencies directly to job profiles with a single click.
From job description to competency profile in three steps
Paste a JD. AI does the analysis. You make the final call.
Paste Your Job Description
Drop in any job description — from a one-paragraph summary to a multi-page specification. The AI reads the full text, extracting explicit requirements and implicit competency signals. It analyses responsibilities, qualifications, and the decision-making context the role demands.
AI Analyses & Maps
The AI matches extracted signals against Kaairo's library of 35+ validated competencies across seven categories. For domain-specific skills that don't match existing entries, it creates new competencies tailored to the role. It also detects gaps — competencies that the JD doesn't mention but similar roles typically require.
Review & Apply
Review the recommended competencies, adjust proficiency levels, and apply them to your competency framework with one click. The profile feeds directly into AI assessment generation, so your tests measure exactly what matters.
How the analysis works under the hood
Most competency mapping is a manual process. HR teams read job descriptions, consult spreadsheets, and debate which competencies matter most. The result is inconsistent — two people mapping the same role often produce different profiles. This inconsistency flows downstream into assessments, interviews, and development plans.
Kaairo's AI competency identification replaces guesswork with structured analysis. The system uses natural language processing to parse job description text at the semantic level — it understands that "drive cross-functional alignment" implies stakeholder management, communication, and strategic thinking even if those words aren't used explicitly.
Extracted signals are matched against the validated competency library using semantic similarity, not keyword matching. This means the AI recognises that "customer obsession" maps to client orientation, and "P&L ownership" maps to business acumen, regardless of how the JD phrases it. Each matched competency gets a suggested proficiency level based on the seniority and scope of the role.
The gap detection layer compares the identified set against industry benchmarks for similar roles. If a product management JD mentions technical requirements and stakeholder management but omits data literacy — a competency present in 80% of similar profiles — the system flags it as a potential gap. This catches blind spots that manual mapping misses.
Frequently asked questions
How large is the competency library?
Kaairo includes 35+ validated competencies across seven categories: leadership, technical, interpersonal, analytical, operational, creative, and strategic. Each competency has a structured definition with behavioural indicators at multiple proficiency levels. Organisations can also add custom competencies to their private library.
Can I add custom competencies not in the library?
Yes. When the AI identifies a domain-specific skill that doesn't match an existing library entry, it creates a new competency tailored to your role and adds it to your organisation's private library. You can also manually create custom competencies with your own definitions and proficiency descriptors.
How accurate is the AI competency identification?
The AI uses natural language analysis to extract explicit and implicit competency signals from job descriptions. It matches these against the validated library using semantic similarity, not just keyword matching. Results are presented as recommendations — your team reviews and adjusts the suggestions before they're applied to a role profile.
Does it work for industry-specific roles?
Yes. The AI adapts to the language and requirements of any industry. For specialised roles — healthcare, fintech, engineering, legal — it generates domain-specific competencies when library entries don't cover the exact skill. These are saved to your organisation's library for reuse across similar roles.
Can I override AI suggestions and customise competency descriptions?
Absolutely. After the AI presents its recommendations, you can remove competencies, add others from the library, adjust proficiency levels, and override descriptions with your own wording. Your overrides are preserved at the organisation level without modifying the shared system competency definitions.
Ready to identify the right competencies?
Stop guessing which competencies matter. Let AI analyse your job descriptions and build evidence-based competency profiles in minutes.
Request a Demo