RESUME SCREENING AGENT

Claims Are Not Facts. Screening Should Know the Difference.

Parikshak.ai reads each resume as an evidence document. It shows what aligns, what is only claimed, what remains unclear, and what the next stage should investigate.

Screen a Candidate Set

Open a Sample Report

Evidence-led screening

Inspectable logic

ROLE CRITERION

Enterprise account ownership

Demonstrated

Named accounts + renewal activity

Inferred

Commercial responsibility suggested

Insufficient

Portfolio value not established

Next investigation

Probe deal scope in interview

EVIDENCE-LED SCREENING

AI resume screening evaluates candidate profiles against job-related criteria and organizes the findings for human review. Parikshak.ai examines responsibility alignment, experience relevance, achievements, competency evidence, career progression, transferable capability, information gaps, and contradictions—then explains the basis of its recommendation.

Give Every Signal the Weight It Has Earned

Screening becomes trustworthy when a claim, an inference, and demonstrated evidence are not treated as the same thing.

Claimed

A capability is stated without supporting detail.

Inferred

The described work suggests relevance but does not establish it fully.

Demonstrated

The profile supplies relevant context, responsibility, action, or outcome.

Insufficient

The available information cannot support a confident conclusion.

Contradictory

Two pieces of candidate information require clarification.

A Recommendation You Can Inspect

Parikshak.ai does not turn missing evidence into a negative fact. It shows the gap and gives the recruiter a better next question.

Role criterion

Enterprise account ownership

Evidence found

Candidate describes managing named accounts and renewal activity

Evidence gap

Portfolio value and procurement ownership are not established

Status

Partial alignment

Next investigation

Probe deal scope and commercial ownership during interview

Look Beyond the Familiar Profile

Relevant capability can sit behind a different title, a lesser-known employer, an adjacent industry, or a non-linear career path. Parikshak.ai evaluates what the candidate appears capable of doing—not only how familiar the profile looks.

Evidence view · resume01 / 02

Meera Patel

Regional Growth Lead · Ahmedabad

“Led enterprise growth across West India.”

Closed strategic accounts; deal scale not stated.

Built discovery playbooks for multi-stakeholder buying groups.

Regional ownership listed for overlapping dates.

Resume supports relevance; ownership depth remains unknown.

ClaimGapEvidenceConflictUnknown

Claim ≠ proof‘Led enterprise growth’ is a claim. Named-account ownership is the supporting evidence.

Test the Logic on a Role You Know

Bring a current requirement and a safe candidate set. Review what Parikshak.ai found, what it could not establish, and why it recommended the next step.

Screen a Candidate Set

Book a Screening Demo

Questions About Evidence-Led Screening

Is this keyword matching?

No. Keywords may be signals, but the Screening Agent evaluates experience, responsibilities, evidence, gaps, and role context before making a recommendation.

Is this keyword matching?

Does Parikshak.ai automatically reject candidates?

Parikshak.ai is designed to provide evidence and recommendations within an organization-controlled workflow. People define review stages and retain progression authority.

Does Parikshak.ai automatically reject candidates?

Does structured screening eliminate bias?

No system should promise to eliminate bias. Responsible use still requires job-related criteria, monitoring, human oversight, and candidate safeguards.

Does structured screening eliminate bias?