What you need to know
about Nadifor.

A connected growth system rather than a course host. It diagnoses needs, turns knowledge into learning, personalises by role, reinforces it in daily work and tracks progress.

Learn converts internal knowledge into structured, personalised, automated training with measurement. AI Coach handles reinforcement in live moments such as meetings, decisions and feedback. Either can be the starting point; combined, they give managers visibility of progress.

It measures skill movement, not completions, by aligning learning to roles, skill frameworks and performance signals. Managers see progression and readiness.

It consolidates LMS, authoring tools, spreadsheets, coaching add-ons and manual workflows into one system covering creation, personalisation, delivery, coaching and reporting.

AI is the foundation, not a bolt-on. It drives content creation, personalisation, embedded coaching agents, real-time adaptation and insight.

Yes, positioned as enterprise-first: complex org structures, role-based governance, auditability, regulated environments, multi-region scale.

Tailored to company size, products selected and scope. No figures published; directs to the sales team.

General AI tools lack context on skill frameworks, role expectations and performance data. They produce answers; Nadifor positions itself as infrastructure that builds capability.

It combines role, level, skill gaps, goals, feedback and performance data into adaptive paths, with coaching adjusting as the person progresses.

Documents, policies, presentations and recordings are uploaded and converted into modular learning with quizzes and scenarios, ready to review and publish in minutes.

It tracks skill progression, behavioural signals, coaching engagement and readiness, giving managers and HR a view of where growth and support gaps sit.

Yes: Slack, Microsoft Teams, email and other workplace tools, so assignments, nudges and coaching appear inside existing workflows.

Yes. It syncs roles, org structure, skill frameworks and employee data to align learning with real goals.

Yes. Connected drives and documentation become structured training and are searchable through embedded AI agents.

States GDPR compliance, secure data handling and governance controls.

Purpose-limited processing, access controls, encryption and data separation, with customer visibility over data use.

Yes: granular role-based access, configurable permissions, approvals and full audit trails.

The customer. Customer data is not used to train public models, and AI runs within the secured environment.

Positioned for regulated sectors through governance, traceability, compliance training and auditability.

"Weeks" for most teams, starting with one team or initiative and expanding.

Nadifor leads setup, integrations, skill framework alignment and first programme design. The customer supplies goals and priorities.

Ongoing adoption and optimisation support, product guidance, best practice and strategic check-ins.

Claims content creation up to 10× faster, 30–40% less admin time and significantly higher engagement, plus visibility of skill progression.