Book a free consultation (opens in a new tab)

AI Resume Screening

Resume Screening: 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.

  • 100%Applications read
  • 1Set of criteria for all
  • RankedShortlist with reasons
  • HoursSaved per role

Why It Matters

Recruiters should spend time on people, not stacks of resumes

No resume is skipped, no matter the volume

When applications pile up, good candidates get missed because no one had time to read that far. The AI reads every application against the role, gives each one a match score and records what matched and what did not.

  • Strong matches surfaced, not buried in the pile.
  • A match score and reasons for each candidate.
  • A ranked shortlist, not a raw 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 once, and we turn them into plain-language criteria your team agrees on. The AI applies the same criteria to every application, so the ranking is easy to explain.

  • Must-haves and nice-to-haves set for the role.
  • Plain-language criteria your team agrees on.
  • The same checks run on every application.
  • A ranking your team can stand behind.

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.

The checks the AI runs on every application

  • 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.

From a stack of applications to a ranked shortlist

  1. Set the role

    You define the must-haves and nice-to-haves for the role in plain language.

  2. Read every resume

    The AI reads every application that comes in, no matter the volume.

  3. Score each one

    Each resume is scored against the same criteria, with the reasons recorded.

  4. Rank the shortlist

    The strongest matches are ranked and handed to your team in your ATS.

  5. Recruiter decides

    Your recruiter reviews the shortlist and the reasons, and makes the call.

Why teams choose TCB Infotech for AI resume screening

  • Recruiter stays in control

    The AI does the first read and ranks the shortlist. Your recruiter reviews the reasons and makes every decision.

  • Consistent by design

    One set of criteria is applied to every candidate, so each application is measured against the same requirements.

  • Reasons you can read

    Every score comes with what matched and what did not, so the shortlist is easy to review and explain.

  • Fits your hiring workflow

    We connect it to the HR system or ATS you already use, so the shortlist shows up where your team works.

  • Model-agnostic

    We fit the AI model to your accuracy, cost and data needs, with no lock-in to a single vendor.

AI resume screening questions

What does AI resume screening actually do?

It reads every application, scores each resume against the role's must-haves and nice-to-haves, shows why each candidate matched, and ranks a shortlist. Your recruiter reviews the shortlist and decides who to move forward.

Does the AI make hiring decisions on its own?

No. The AI does the first read and prepares a ranked shortlist with reasons. The recruiter reviews it and makes every call. It assists the team, it does not decide for them.

How does it stay consistent across candidates?

You define the criteria for the role once, and the AI applies the same criteria to every application. Every candidate is scored against the same requirements, so no resume is skipped and none gets a shortcut.

Does it connect to our existing HR system or ATS?

Yes. We connect it to the HR system or applicant tracking system you already use, so screened and ranked candidates show up in your normal hiring workflow.

Which AI model does it use?

The service is model-agnostic. We choose and configure the model that fits your accuracy, cost and data needs, and you are not locked to any single vendor.

How much recruiter time does it save?

Most of the time goes into reading resumes that do not fit. By handing recruiters a ranked shortlist with reasons, the AI removes hours of first-pass reading so the team spends time on the strongest people. Figures vary by role and volume.

Hand Your Recruiters a Shortlist, Not a Stack

No commitment. A practical first look at AI resume screening for your team.