AI Hiring

AI that reads every applicant — and shows its working.

AI Talent Pro analyses, assesses and scores every single application against the exact requirements of each role. It saves your team hours of manual review — and replaces gut feel with evidence you can defend.

100%
of applications assessed against the same role criteria
Hours
of manual CV review removed from every role
Every score
backed by evidence, strengths and gaps
Server-side
maths the model can't override
The logic

A scoring framework built for your role.

Generic screeners score everyone against the same vague model. AI Talent Pro starts by understanding the role: paste the job description, add the hiring-manager briefing and the intake call, and — optionally — a "what good looks like" benchmark CV.

From that, the AI drafts weighted categories that sum to 100, plus must-haves and knockout rules. You review and edit everything before it goes live, so every candidate for the role is judged against one consistent, agreed standard.

  • ✓Weighted categories tuned to what actually matters for the role
  • ✓Must-haves & knockouts that cap unsuitable candidates automatically
  • ✓Editable & versioned — you stay in control of the standard
Scoring framework · Senior Backend EngineerAI drafted
Technical depth
30%
Relevant experience
25%
System design
20%
Communication
15%
Values & ownership
10%
Weights total100%
MUST-HAVES
5+ yrs backendCloud infrastructureRight to work
KNOCKOUTS
No commercial coding experience
Ranked · Senior Backend Engineer38 of 38 assessed
PA
Priya Anand
7 yrs · Distributed systems
91
MO
Marcus Okafor
5 yrs · Backend & APIs
84
SL
Sofia Lindqvist
6 yrs · Platform eng
78
RT
Rosa Téllez
8 yrs · Applied late, day 11
86
DK
Daniel Kim
4 yrs · Full-stack
63
No CV left unread

Every application reviewed — not just the first 20.

When 200 people apply, manual review quietly becomes "review until we're tired." Strong candidates who applied late, or who describe their experience differently, never get seen.

AI Talent Pro reads every application against the same framework, in minutes — so the best person wins on merit, not on when they hit submit.

  • ✓Consistent — one standard applied to candidate #1 and candidate #201 alike
  • ✓Bias-aware — instructed to ignore protected characteristics
  • ✓Fast — a full applicant pool ranked while you make coffee
Explainability

Evidence behind every number.

A score on its own is just another opinion. AI Talent Pro shows the full breakdown: per-category scores, the specific evidence from the CV and interview, clear strengths and gaps, and a recommended next action.

It's the difference between "the system said 87" and "here is exactly why — and here's what to probe in interview."

87
Priya Anand
Senior Backend Engineer
✓ Recommend — advance to interview
Technical depth
92
Relevant experience
84
System design
88
Communication
74
+ Led 40M-req/day platform+ Go & Kubernetes depth– Limited fintech exposure
AI-powered, human-decided

The AI does the reading.
You make the call.

AI Talent Pro is built to assist judgement, not replace it — with guardrails that keep every decision fair and defendable.

Bias controls

The scoring is explicitly instructed to ignore protected characteristics and judge only against role-relevant criteria.

The maths is yours

Total scores are recomputed server-side from your weights, so the model can never quietly override your standard.

Knockout caps

Fail a must-have and the score is capped automatically — no unsuitable candidate slips to the top of the list.

Full audit trail

Every assessment is stored with its inputs and reasoning, so any decision can be reviewed and defended later.

You stay in control

Edit the framework, shortlist, reject and add notes. The AI ranks; people decide who to hire.

GDPR-aware

Built with data protection in mind — candidate data handled carefully, with deletion and access in your hands.

Intelligent hiring assistance

Less admin. More hiring.

AI Talent Pro takes the manual, repetitive work off your team's plate — turning raw inputs into polished, decision-ready output.

Interview prep · Priya Anand8 questions
Verify strength
Walk me through the 40M-request/day platform — what broke first as you scaled, and how did you fix it?
Listen for: ownership, concrete metrics, trade-offs made.
Probe gap
You've not worked in regulated fintech — how would you approach payment-grade compliance and audit?
Listen for: structured thinking, awareness of the unknowns.
Verify must-have
Describe your hands-on Kubernetes work in the last 12 months.
  • ✓Candidate write-ups generated from the CV, cover letter, interview transcript and your notes — a polished summary in seconds, not an evening.
  • ✓Tailored interview questions — 6–8 per candidate, each tagged strength / weakness / gap / verify, with the signals to listen for.
  • ✓Transcript re-scoring — drop in the call recording and watch the score update with new evidence: Was 72 → 84
  • ✓Auto-completed fields — notice period, compensation and more, pulled straight from the conversation.
  • ✓Full history analysed — prior applications and other roles are taken into account, so nothing about a candidate is lost.

Read every CV. Score every candidate.

Start your 14-day free trial and put AI Hiring to work on your next role. Full system access, no card required.