Falcon Vision — Where
Every Hire Has a Score.
An AI-augmented people-operations platform for fast-growing global tech employers. Combines headcount and engagement analytics, an applicant tracking kanban with AI candidate scoring, employee profile and compensation views, and audit-ready exports for finance and compliance.
Why this project existed.
The problem
Modern HR teams juggle five tools that don't talk to each other — applicant tracking, headcount planning, comp benchmarking, performance reviews, and time off. Recruiters scored candidates manually, exec dashboards showed last-quarter data, and compensation conversations happened in spreadsheets that leaked.
The solution
One workspace with live headcount, attrition, engagement, and open-role analytics; an AI-scored recruiting kanban that ranks candidates against the role brief; an employee profile with comp, performance, and review history in one place; and a strict RBAC model so comp is only visible to those who need it. Built to scale across regions and entities.
Built on a deliberate stack.
Every choice in this project was made for two horizons — fast iteration during build, and a 3-5 year operational life with minimal vendor lock-in.
Three views of the system.
Live workspace KPIs — headcount, open roles, attrition, engagement — backed by a department headcount stack and an organisation activity feed.
Per-employee view with comp bands, equity vesting, career history, and performance ratings. Strict RBAC so comp is only visible where it should be.
Kanban from Applied → Phone screen → Technical → Onsite → Offer. Each card carries an AI score against the role brief, accept/decline rate, and time-in-stage SLA.
What changed for the team.
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