TalentFlow HR Hires 60% Faster and Retains 40% More With AI Screening

Results at a glance

The Challenge

TalentFlow's clients were receiving an average of 380 applications per open role. HR teams were spending 6–8 hours per role just on initial screening — reading CVs and deciding which 20 candidates to advance. Time-to-hire averaged 34 days, and post-hire 6-month retention was only 61%, suggesting that manual screening was missing important fit signals.

Our Solution

We built an AI candidate screening pipeline that ingests applications, scores candidates on job-specific fit dimensions, generates structured assessment reports, and automatically schedules interviews for top candidates — while ensuring bias-audit compliance throughout.

How We Built It

1. 1

   Integrated with 6 ATS platforms (Greenhouse, Lever, Workday, BambooHR, Ashby, custom)

2. 2

   Built multi-dimensional scoring: skills match, experience relevance, culture indicators, growth trajectory

3. 3

   Trained models on clients' historical hire/no-hire decisions with retention outcomes as training signal

4. 4

   Implemented bias audit layer checking for protected characteristic bias in scoring

5. 5

   Built automated interview scheduling with calendar integration for top-scored candidates

6. 6

   Created candidate feedback system ensuring all applicants receive substantive responses