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Case 10/HR Automation/Recruiting / Talent Ops

AI Interview Summariser & Recommendation Engine

Transcribes interviews, extracts competencies and produces standardised hiring recommendations in minutes.

The challenge

What was breaking

500+ interviews per year were evaluated inconsistently. Nuance was lost, hiring cycles stretched, and there was no standardised assessment across interviewers.

The solution

Interview Summariser

Automated transcription, competency extraction and recommendation generation produce structured, comparable interview reports for every candidate.

  • High-accuracy auto-transcription
  • Strength and gap mapping
  • Career and development recommendations
  • Standardised, comparable evaluator reports
Solution design

How it works

4 stages
  1. 01

    Transcribe

    Interview audio converted to text with accent and noise handling.

  2. 02

    Extract

    Strengths, gaps and communication style surfaced from the transcript.

  3. 03

    Map

    Competencies, proficiency levels and experience span identified.

  4. 04

    Recommend

    JD fit, hiring signals and development recommendations generated.

Business impact

Before vs. after

MetricBeforeAfterImprovement
Evaluation consistency40% variance8% variance80% better
Turnaround3–5 days5–10 minutes98% faster
Quality of hireBaseline+12%Better retention
Key outcomes

What changed

  • 5–10 minute report turnaround
  • Standardised evaluator decisions
  • HR productivity uplift with quality consistency
  • Applied to 40+ hires per month
Capabilities

Inside the build

High-accuracy auto-transcription
Strength and gap mapping
Career and development recommendations
Standardised, comparable evaluator reports
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Could this work for your team?

We adapt these blueprints to your domain, data and governance constraints — typically delivering a working prototype in weeks.

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