Using GenAI to optimize Human Resource ratings
We created a GenAI engine for Planetir to automatically rate engineer seniority and skills.
Professional/IT servicesPublic services, NGOCloud InfrastructureGenAIArtificial IntelligencePoC/MVP/Seed Stage
The story
The Planetir team wanted an automatic way to accurately assess and assign a skill level to new and existing participants in their talent platform and learning management system. They had already developed an in-house technical assessment tool and soft skill framework, but both still required manual interventions and human ratings.
Think-it’s role
We plugged in and trained LLMs to:
- Assess not only if the technical challenge was correct, but also assess if the strategy and approach was optimal.
- Assess soft skills in project and code collaborations, team dynamics, and other variables.
- Provide a rating and percentage attached to each of the technical and non-technical variables.
Tech stack
Why it mattered
Think-it removed the need for manual interventions and improved efficiency of the ratings. Furthermore, the scoring allowed for additional GenAI integrations to automate matching and recommending learning pathways and job openings.
