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TCB Infotech | Expert Odoo & ERPNext Implementation Partner

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AI 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. The recruiter reviews and decides.

50+ ERP and software projects. Zero failed projects since 2021.

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A candidate
Applied for: Senior Backend Engineer
AI
88% match against the role
(illustrative)
✓5+ years backend experience
✓Python and SQL (must-have)
✓Cloud deployment experience
!Team lead experience (nice-to-have)
📑 Shortlisted for recruiter review
100%
Applications read
1
Set of criteria for all
Ranked
Shortlist with reasons
Hours
Saved per role
Why It Matters

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.

Every Application Read

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.
A stack of resumes waiting to be read
The Same Criteria for Everyone

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.
Recruiters defining criteria for a role
How It Scores

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.

✅
Must-haves
The requirements a candidate has to meet for the role, checked on every application before anything else.
⭐
Nice-to-haves
The extras that make a candidate stronger. They lift the score but never hide a missing must-have.
📊
A match score
A single score per candidate against the role, so the shortlist ranks in an order your team can review quickly.
💬
The reasons
Each score comes with what matched and what did not, so a recruiter can trust it and decide, not guess.
How It Works

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.
What It Screens For

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 Changes

What screening with AI changes for your team

Every
Application read against the role
Same
Criteria applied to all candidates
Ranked
Shortlist with clear reasons
Hours
Of first-pass reading saved
Faster
Time to a reviewed shortlist
Recruiter
Reviews and decides, always
Why Us

Why teams choose TCB Infotech for AI resume screening

1
Recruiter stays in control
The AI does the first read and ranks the shortlist. Your recruiter reviews the reasons and makes every decision.
2
Consistent by design
One set of criteria is applied to every candidate, so each application is measured against the same requirements.
3
Reasons you can read
Every score comes with what matched and what did not, so the shortlist is easy to review and explain.
4
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.
5
Model-agnostic
We fit the AI model to your accuracy, cost and data needs, with no lock-in to a single vendor.
6
Proven delivery
50+ projects across industries, with zero failed projects since 2021.
FAQ

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

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.