AI personalised learning plans: career growth for everyone, not just the average
The annual development plan “everyone completes the Excel course + presentation skills” develops no one specifically. A senior developer doesn’t need programming basics. A new sales rep doesn’t need advanced analytics. An AI plan knows who needs what.
How AI builds the plan
Input data for AI
Employee: Jana Nováková — Senior Data Scientist (2 years at company)
Latest review (Q1 2026):
Technical skills: 4.2/5
Stakeholder communication: 2.8/5 ⚠️
Leadership: 3.1/5 (target: Tech Lead by 2027)
Completed training (last year):
✓ Python advanced (100 % test)
✓ Machine Learning Operations (87 % test)
✗ Presentation skills (not completed)
Career goal: Tech Lead Data Science by 12/2027
Generated development plan
DEVELOPMENT PLAN: Jana Nováková | 2026–2027
PRIORITY 1: Stakeholder communication (2.8/5 → 3.8/5)
Q2/2026: Data storytelling (online course, 6h)
Q3/2026: Executive presentations workshop (1-day in-person)
Practice: Lead 1 management presentation per month
PRIORITY 2: Leadership (3.1/5 → 4.0/5)
Q2/2026: Team leadership fundamentals (online, 4h)
Q4/2026: Leading technical teams (2-day workshop)
Practice: Mentor 1 junior Data Scientist from Q3
MAINTENANCE: Technical skills
Q3/2026: MLOps pro certification (optional)
Total: 22 training hours planned for the year
Integration with performance reviews
After every review AI updates the plan — removing goals that have been met and adding new ones based on feedback. The plan evolves together with the employee.