Transforming talent intelligence at a global agro chemical company.
We worked with one of the world's largest agri-science companies, operating in over 130 countries and employing thousands of professionals across R&D, manufacturing, and global commercial roles. With a large and diverse workforce, the company wanted to strengthen succession planning and internal talent mobility, but existing processes relied heavily on manual reviews and static succession lists.
This made it difficult to:
• See real-time leadership bench strength
• Identify cross-functional mobility opportunities
• Evaluate successor readiness consistently
oona.works implemented an AI-powered Talent Intelligence system to create a dynamic, data-driven approach to leadership pipelines.
How it works
1. Role Intelligence
Analyzed leadership roles and translated expectations into structured role criteria.
2. Capability Clustering
Grouped roles into capability clusters to reveal logical career and mobility pathways.
3. Unified Talent Profiles
Created a consolidated AI profile for every employee using existing HR data.
4. AI Role Matching
Compared employee profiles against role requirements across the organization.
5. Readiness Scoring
Generated AI-based readiness levels for each employee-role combination.
6. Talent Intelligence Outputs
Produced successor stacks for roles and career-fit views for employees.
7. HRMS Integration
Fed insights back into existing HR systems as a continuous intelligence layer.
The AI system transformed succession planning from static lists to a dynamic talent intelligence engine.
- Clear visibility into global leadership bench strength
- Faster data-driven succession decisions
- Identification of cross-functional mobility opportunities
- More objective and consistent readiness evaluation
- Stronger internal leadership pipeline development
By adding an AI intelligence layer to existing HR systems, oona.works helped the organization convert fragmented HR data into actionable succession planning insights at scale.
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