From skills to roles
Relate task-level skills, competencies and role expectations within the same model.
Qulak AI: Artificial Intelligence for Corporate Learning and Development
Bring organizational skill and competency needs together with learning content, assessment and development steps in one connected workflow.
Qulak is an AI-powered corporate learning platform with solutions that help organizations define role and competency structures, draft content from authorized sources, analyze questions and responses, and connect assessment findings to development steps. Organization-specific agents, realistic workplace scenarios and configured web research can support drafting; source verification and expert approval remain within the organization’s workflow.
QULAK AIA connected AI workflow
The process starts with role and competency goals, then connects assessment findings to relevant learning and development steps.
01Skill set
02Competency and role
03Curriculum and content
04Assessment and analysis
05Development path
ONE CONNECTED MODEL
Connect skills, roles and learning goals
Skill definitions, learning objectives, assessment and program planning should not remain disconnected. Qulak AI helps make the organization’s defined structure usable across these steps.
From content to assessment
Align curriculum and learning outcomes with learning content, questions and rubrics.
From assessment to development
Relate findings to role expectations and turn them into relevant development steps.
QULAK AI SOLUTIONS
Choose AI solutions for your corporate learning workflow
Each solution addresses a different stage of corporate learning and development. Combined use is planned according to the organization’s product configuration.
Competency and personalized development
Structure development by linking skills, competencies, roles and curricula.
Curriculum and content from sources
Draft learning materials from PDFs, presentations and digital books the organization is authorized to use.
Question generation and tagging
Prepare similar question drafts and structured tags from authorized question sources.
END-TO-END WORKFLOW
From AI-supported assessment to development steps
An example workflow that starts with organizational learning goals and moves through review to application:
Define the structure
Map skills, competencies, roles and learning objectives to organizational needs.
Prepare content
Use organization-specific agents, realistic scenarios and authorized sources to draft learning materials; verify findings from web research and send the output for expert review.
Assess and analyze
Use questions, rubrics and adaptive assessments to review learning evidence.
Plan development
Compare results with role expectations and structure a relevant program.
HUMAN REVIEW AND ORGANIZATIONAL CONTROL
AI suggests; your experts decide
Content, question and assessment outputs do not replace review and approval. The organization decides which sources may be used, who reviews and approves outputs, and how results are applied.
• Select only sources the organization is entitled to use and review their license terms.
• Agree rubrics and learning objectives with subject-matter experts.
• Keep human review, correction and approval in the workflow.
From Skills and Competencies to Growth
Link skill sets to roles and curricula, then structure personalized development programs.
Explore solutionCurriculum and Content from Sources
Turn PDFs, presentations and digital books the organization may use into learning drafts.
Explore solutionQuestion Generation and Tagging
Draft similar questions from authorized sources and map existing items to learning outcomes and skills.
Explore solutionOpen-Ended Response Analysis
Review text, audio, video, visual/drawing and handwriting responses against defined rubrics.
Explore solutionAdaptive Assessment and Development
Relate assessment findings to target competencies and individual development steps.
Explore solutionFor secure online exam proctoring, explore Qulak’s existing QProctor solution.
Explore QProctorFAQ
Frequently asked questions about Qulak AI
How do Qulak AI solutions connect in one workflow?
The organization’s skills, competencies and role model can be related to curriculum, content, assessment and development steps. Modules and approval steps depend on the organization’s configuration.
Which sources can AI use to create content or questions?
Only sources the organization is authorized to use or whose license terms permit the intended use should be selected. The organization verifies rights, and AI drafts receive expert review.
Does AI make employment decisions on its own?
The approach described here does not position AI output as a substitute for expert review. The organization defines the rubric, approval flow and purpose for which results may be used.
Is organizational HR data used to train models?
No general promise is made that organizational data will be used for model training. Data processing, access and any model adaptation must be agreed separately with each organization and supported by appropriate legal grounds.
See how Qulak AI could fit your organization
Let’s review where AI support can fit into your learning, assessment and development processes.
Request an AI Solutions Demo