Education
Design learning for each role.Training needs, competency maps, pathways and content requirements designed for workplace tasks.
For corporate learning and development
Turn responsible AI requirements into learning people can apply.
We help corporate learning teams identify role-specific needs, design effective programmes, assess practical capability and verify transfer to work.
EDIVALORA FRAMEWORKFrom learning need to workplace evidence
01 LEARNRole-based
02 ASSESSDemonstrate
03 ASSUREVerify
ONE TRACEABLE THREAD
ObligationControlRoleAssessmentEvidence
ASSESSMENT OUTPUTA clear plan for learning and assessment.
From diagnosis to a focused pilot.
GovernanceDefine the learning need.
CapabilityAssess what people can do.
AssuranceMeasure application at work.
Designed for the learning team
Make AI learning relevant to each person's work.
We bring L&D, business owners and governance specialists together to turn AI responsibilities into practical learning and assessment.
See how the method works →The offer
A complete learning-to-practice approach.
Built with L&D teams around real roles, learning needs, platforms and business outcomes.
Assessment
Test knowledge and practical judgement.Scenarios, performance criteria, feedback and targeted remediation.
Assurance
Show that learning transfers to work.Manager follow-up, workplace observation, evidence and improvement.
How we work with L&D
A method that starts with the job, not the course.
We work with learning teams and the owners of each AI use case. Each phase produces a decision or deliverable the organisation can use.
Understand the work
Identify AI use cases, business goals, roles, decisions and relevant policies or controls.
Output: scope and role mapFind the gaps
Review current skills, training, assessments, LMS capabilities and observed practice.
Output: evidence-based baselineBuild the learning plan
Set outcomes and proficiency levels; design pathways, scenarios and assessment criteria.
Output: programme blueprintTest with a population
Support a bounded pilot with the client's learning and technical teams, then collect feedback.
Output: tested approachObserve capability
Check learning and applied performance; identify remediation and manager support needs.
Output: capability evidenceMeasure transfer
Review application at work, operational results and gaps before extending the programme.
Output: improvement roadmapThe method draws on ISO 21001, ISO/IEC 40180 and Kirkpatrick; AI governance and risk inform the objectives for each use case.
The Edivalora Framework
From a learning need to evidence of application.
We start with the work people perform. Governance and risk inform what they need to learn; assessment and workplace evidence show whether the programme worked.
Use case
Role
Objective
Learning
Application
Evidence
EU AI Act · ISO/IEC 42001 · ISO/IEC 23894 · ISO 21001 · ISO/IEC 40180 · Kirkpatrick
Platform advisory
Make existing learning platforms support the programme.
We review the LMS and related tools, define learning and evidence requirements, and help your team validate changes delivered by its chosen suppliers.
Explore platform advisory01
Assess
Existing LMS, assessment and evidence tools
02
Define
Learning, functional and control requirements
03
Select
Options and supplier evaluation criteria
04
Validate
Pilot results and acceptance criteria
A clear place to start
Edivalora Learning & Capability Baseline
Start with one AI use case or employee population. Receive a training needs baseline, competency gaps, platform findings and a practical pilot plan.
Discuss your use case- Role and competency map
- Learning and assessment gaps
- Programme priorities
- Pilot plan and owners
