Reported impact
Business outcome
Workerbee evaluates one million candidate profiles in five seconds, cuts screening effort by 80% to 85%, saves $80,000 in recruiting fees across four roles, and gives companies auditable evidence for fair workforce decisions.
- Compliance
- Cost Reduction
- Productivity Improvement
- Speed to Market
Solution
Workerbee built a living Work Graph on Google Cloud to connect company strategy, role requirements, capabilities, and evidence across both employees and job applicants. Gemini extracts skills, achievements, and other role-relevant evidence from resumes, portfolios, project updates, meeting notes, and reviews, while explicitly excluding protected demographic attributes from the structured decision graph. That graph is then traversed with BigQuery Graph so managers can evaluate millions of relationships among people, roles, and experiences in seconds instead of rerunning raw-text reasoning for each search. AlloyDB for PostgreSQL stores operational application data, and the company is also testing Spanner Graph for live updates as employees complete projects, training, or certifications. The resulting architecture gives companies consistent, auditable rankings for hiring and workforce planning while turning static HR data into a reusable strategic asset.
Data flow
Employee records, resumes, portfolios, project updates, meeting notes, and reviews are structured by Gemini into a Work Graph, searched with BigQuery Graph against company-specific role definitions, and combined with operational data from AlloyDB to deliver auditable hiring and workforce recommendations.