Sanjana.

FlairX AI

Redesigning the Recruiter Workflow

Project overview

The problem

Recruiters were manually scrolling candidate details, uploading one by one, and sorting pools by hand. The AI existed but nobody used it — they couldn't tell why it was recommending someone, so they ignored it entirely.

What I did

Redesigned an AI-assisted recruiter workflow so the system felt like a smart collaborator, not a black box replacing judgment. Cut candidate intake from 7 steps to 3 and made bulk-upload decisions feel transparent.

The outcome

A reimagined talent upload and review workflow with explainable AI signals, recruiter override controls, and inline error handling. The system now shows its work. +130 hires tracked to the redesign.

Key outcomes

1

+130 hires attributed to the redesigned AI-assisted workflow

2

Bulk upload reduced from 7 steps to 3 — field mismatch caught inline, not at the end

3

Duplicate profile detection automated, removing a major manual bottleneck

4

Recruiter efficiency improved across single upload, bulk, and CSV flows

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