Read Every Application and Shortlist the Strongest Matches
Your recruiters spend hours reading resumes that do not fit. The AI reads every application, scores each one against the role, and hands your team a ranked shortlist with reasons. The recruiter reviews and decides.
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Recruiters should spend time on people, not stacks of resumes
When a role gets hundreds of applications, most of the day goes into reading the ones that do not fit. The AI does that first read, so your team starts with the shortlist.
No resume is skipped, no matter the volume
When applications pile up, good candidates get missed simply because no one had time to read that far. The AI reads every application against the role, so the whole pool is considered and the strong matches surface instead of getting buried.
- Every application read against the role.
- Strong matches surfaced, not buried in the pile.
- A shortlist ready before your team sits down.
One set of role criteria, applied to every candidate
You define the must-haves and nice-to-haves for the role once. The AI applies the same criteria to every application, so each candidate is measured against the same requirements and the ranking is easy to explain.
- Must-haves and nice-to-haves set for the role.
- The same checks run on every application.
- A ranking your team can stand behind.
Every resume checked against the role you set
You describe the role. The AI turns it into clear checks and scores each application the same way, then explains the result.
From a stack of applications to a ranked shortlist
The checks the AI runs on every application
You set what matters for the role. Here are the kinds of things the AI reads for and scores against.
Relevant experience
Years and type of experience against what the role asks for, read from the whole resume, not just a title.
Required skills
The specific tools, languages and skills you listed as must-haves for the role, matched across the application.
Qualifications
Degrees, certifications or licences where the role needs them, checked the same way for every candidate.
Domain and industry
Background in the industry or domain when it matters, so relevant experience is recognised, not missed.
Location and logistics
Practical requirements such as location, work authorisation or notice period when you set them for the role.
Nice-to-haves
The extras that make a candidate stronger, scored so they lift a match without overriding a missing must-have.
What screening with AI changes for your team
Why teams choose TCB Infotech for AI resume screening
AI resume screening questions
What does AI resume screening actually do?
Does the AI make hiring decisions on its own?
How does it stay consistent across candidates?
Does it connect to our existing HR system or ATS?
Which AI model does it use?
How much recruiter time does it save?
Hand Your Recruiters a Shortlist, Not a Stack
Book a free consultation. We will look at how you hire today, the roles you screen for, and how AI screening would fit your HR system and your team.
Book a Free Consultation →No commitment. A practical first look at AI resume screening for your team.
What Is Inside AI Resume Screening
The service reads every application, scores each one against your role, and ranks a shortlist your recruiters review. Here is what it does at each step and what your team gets.
From your role criteria to a shortlist your team can act on
You set what a good candidate looks like
We turn your role into clear must-haves and nice-to-haves. That definition becomes the yardstick the AI uses, so the same requirements are applied to every application and the shortlist matches what your team is really looking for.
- Must-haves and nice-to-haves set for the role.
- Plain-language criteria your team agrees on.
- One yardstick used for every candidate.
Every application read and scored the same way
The AI reads every application against the role, gives each one a match score, and records what matched and what did not. It then ranks the strongest candidates into a shortlist, so your team starts with the people worth a closer look.
- Every application read against the role.
- A match score and reasons for each candidate.
- A ranked shortlist, not a raw pile.
The shortlist lands where your team already works
We connect the screening to the HR system or applicant tracking system you already use. The ranked shortlist and its reasons show up in your normal workflow, where your recruiter reviews the candidates and makes every decision.
- Connects to your existing HR system or ATS.
- Shortlist and reasons in your normal workflow.
- The recruiter reviews and decides, always.
Everything the screening delivers
Role criteria model
Your must-haves and nice-to-haves turned into clear checks the AI applies to every application.
Match score per candidate
A single score for each application against the role, so the shortlist ranks in a clear order.
Reasons for each result
What matched and what did not for every candidate, so recruiters can trust the ranking and decide.
Ranked shortlist
The strongest matches ranked and ready, so your team starts with the people worth a closer look.
ATS connection
The screening wired into the HR system or ATS you already use, so nothing changes about where you work.
Model-agnostic setup
The AI model fitted to your accuracy, cost and data needs, with no lock-in to a single vendor.