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.
Tech stack
GenAIProject leadershipScoping