AI assisted Competency Models

Our AI assistant helps with the first draft of a competency or competency model: definitions, competency names, subheadings if any,  indicators, and proficiency levels across Core, Leadership, Management, Technical, and Clinical competencies. You keep control: reviewers validate wording, set levels, and approve publication. Result: faster coverage, consistent structure, and a clear audit trail — without sacrificing quality.

• Ask for suggestions tailored to industry, location, organization size/type
• Draft by job role and by competency type (Core/Leadership/Technical/Clinical)
• Generate observable indicators (as many as needed)
• Indicators use a proficiency framework (Novice → Expert) or keep it simple
• Save drafts to your central competency library and,  if applicable – draft mapped role profile for review.
• Add assessment methods and evidence standards

• Select competency category/job family for library storage
• Provide context: role purpose, key tasks, risk profile, region, and compliance requirement notes.
• Provide sources: role descriptions, SOPs, training catalogs, quality/clinical policies.
• Generate drafts: competency, subheadings if any,  definition + specified number (4–5 ) indicators per level using your selected level scheme – if any
• Select only the relevant suggestions
• Ensure indicators are observable/measurable and level-appropriate.
• Review role mapping and save selection as drafts to role profile, or just to competency library
• Validate: Subject Matter Expert  review and update & sign-off (clinical/technical); stakeholder review for Core/Leadership.
• Publish – once used in assessment version is locked – prior versions retained for history and audit.
• Operationalize: run assessments, capture evidence, schedule re-validation.

Generative AI is a language model – based on words and their analyzed frequency and position relative to one another. As such when you use it as a suggestion engine for multiple roles it will come up with many close variants.  While our prompt and search engine will assess and show match to existing material the human in the loop will need to review the drafts.

• Run a keyword search and duplicate check in the library after generating your competency list
• Reuse existing competencies where possible
• Add only variations that are specific to particular roles and or equipment use
• You can attach new suggested indicators to existing competencies
• Create a new competency only when the skill and standards are significantly different.

AI makes mistakes so you must have an effective process for managing it.

• Human-in-the-loop is mandatory — Subject Matter Experts approve every item prior to publish.
• Bias control: check for subjective adjectives, one behavior per indicator/standard
• Regulatory standards – include the source in the text and check it’s accurate.
• Versioning & audit: capture owner, date, on each publication status change. Auto update status to In Use when used in assessment.
• Access & security: use permissions to manage library editing and publication rights by competency type, category, job family, organizational unit.

With a continuously changing environment competencies evolve over time and with feedback after assessment rounds. Our library and competency management process is designed to facilitate  updates

☑️  Strengths: speed, consistency, and coverage across many roles; accelerates first drafts and reduces admin.
⚠️  Cautions: niche or emerging technologies may need more Subject Matter Expert input,  generic suggestions must be adapted to your equipment, SOPs, and risk profile.

Always validate indicators, levels, and evidence requirements before publishing to your library.