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Training, das sich jedem Menschen anpasst. Not to the average.

KI-gestütztes Lernen, das Inhalte personalisiert, Qualifikationslücken aufspürt und dafür sorgt, dass Ihre Belegschaft den Anforderungen des Unternehmens immer einen Schritt voraus ist – ohne den Mehraufwand herkömmlicher L&D-Programme.

See it in action

The problem

One-size-fits-all training that doesn't stick

  • One-size-fits-all training that doesn't stick

    Generic programmes cover what the average employee needs. They miss what each individual actually requires to perform better.

  • Skill gaps identified too late

    By the time a capability shortage shows up in performance data, the business has already felt the impact for months.

  • L&D investment without visibility on return

    Training programmes consume budget and time. Without data connecting learning activity to performance outcomes, ROI is assumed, not measured.

  • Training disconnected from performance

    Courses get completed but on-the-job application is not measured. Skill gaps persist despite L&D spend.

So funktioniert es

Skills gaps identified—learning paths generated—impact measured

Schritt 1

Assess needs

Role profiles, performance data, and project demand highlight where capability lags hurt delivery.

Schritt 2

Assemble journeys

Micro-learning, labs, and coaching prompts are composed from your catalogue—not generic internet courses.

Schritt 3

Prove behaviour change

Completion is tied to downstream KPIs and manager feedback so L&D funds what moves the needle.

SCORM, LMS, and HR systems stay the system of record for credentials.

Training, das sich jedem Menschen anpasst. Not to the average.

Leistungsumfang

What you get when you run this with Thinkia

A governed layer across data, workflows, and handoffs—so teams ship safely and scale with metrics.

Personalised learning paths

Adapts content, pace and format to each employee's role, skill level and learning style.

Skill gap detection

Maps current capabilities against role requirements and future business needs.

AI-powered content creation

Generates training materials, assessments and practice scenarios from your internal knowledge.

Learning analytics

Tracks completion, engagement and knowledge retention at individual and team level.

Performance correlation

Connects learning activity to on-the-job performance metrics to measure actual impact.

Continuous skill monitoring

Tracks capability evolution over time, not just at annual review cycles.

Unterstützt von Thinkia Synapse

Ergebnisse

What changes when this runs in production

Results vary by workforce size, skill domain and existing L&D infrastructure.

+40%

Improvement with personalised vs. generic training programmes

–30%

Faster skill development with adaptive learning paths

–60%

Reduction using AI-assisted content creation

So arbeiten wir

From static courses to adaptive paths tied to skills data

Skills frame

Week 1–2

Competency models, LMS catalogues, and business priorities define what “good” looks like.

Content & assess

Week 3–5

Micro-learning, scenarios, and checks are aligned to roles; accessibility and languages are set.

Cohort pilot

Week 6–9

Completion, application on the job, and manager feedback shape the next iteration.

Scale programmes

Week 10+

Curricula expand by function; analytics tie learning signals to performance conversations.

Union training requirements and vendor content licences affect integration; we phase by audience.

Loslegen

Ready to scope this for your context?

We start with a focused session—no commitment—to map constraints and a sensible path.

See it in action Explore AI Solutions