Human Resources · Recruiter

AI Agent for Screening CVs and Scoring Candidates

Automate the end-to-end CV screening workflow from Gmail to Sheets with AI-based evaluation.

How it works
1 Step
Ingest CVs from Gmail
2 Step
Extract and normalize resume data
3 Step
Evaluate, score, and log results
Monitor Gmail for new CV submissions and forward attachments to Google Drive.

Overview

End-to-end CV screening, evaluation, and logging in a single AI agent.

The AI agent automatically ingests incoming CVs from Gmail and stores attachments in Drive. It extracts and standardizes resume data into a clean, searchable format. It evaluates candidates with OpenAI, assigns a 1–10 suitability score, and saves the evaluation data to Sheets for the hiring team to review.


Capabilities

What Screen CVs and Score Candidates AI Agent does

It automates data capture, evaluation, and logging to streamline hiring decisions.

01

Ingests new CV emails from Gmail and saves attachments to Drive.

02

Detects file type and routes to the appropriate extractor.

03

Extracts and standardizes resume content into a consistent format.

04

Evaluates candidate strengths, skills, and fit using OpenAI.

05

Assigns a suitability score from 1 to 10.

06

Saves evaluation data to Google Sheets for the hiring team to review.

Why you should use Screen CVs and Score Candidates AI Agent

This AI agent addresses real-world screening bottlenecks by applying consistent criteria and automating data capture.

Before
Manual CV screening is slow and inconsistent.
High-volume applications overwhelm HR teams.
Data is scattered across Gmail, Drive, and Sheets.
Evaluation criteria vary by reviewer.
Delays in feedback reduce candidate engagement.
After
Faster triage with standardized scores.
Centralized data in Sheets for quick review.
Objective scoring using consistent criteria.
Auditable evaluation records for compliance.
Quicker hiring decisions and better candidate experience.
Process

How it works

A simple, 3-step flow that non-technical users can follow.

Step 01

Ingest CVs from Gmail

Monitor Gmail for new CV submissions and forward attachments to Google Drive.

Step 02

Extract and normalize resume data

Detect file type, extract full text, and standardize into a clean format.

Step 03

Evaluate, score, and log results

Run OpenAI-based evaluation against criteria, assign a 1–10 score, and save to Sheets with a structured summary.


Example

Example workflow

One realistic scenario showing time-to-value.

Scenario: A candidate emails a CV for a Product Marketing Manager role at 9:15 AM. The AI agent detects the message in Gmail, saves the PDF to Drive, extracts the resume, and standardizes the data. It evaluates fit against predefined criteria using OpenAI, assigns a score of 8, and logs the result and key insights to Google Sheets for the hiring team to review within minutes.

HR GmailGoogle DriveOpenAIGoogle Sheets AI Agent flow

Audience

Who can benefit

Relevant roles that gain clarity and speed from automation.

✍️ HR managers

Speed up first-pass screening with automated CV ingestion and scoring.

💼 Recruiters

Get consistent, objective candidate data for comparisons.

🧠 Hiring managers

Receive concise AI-generated summaries of top candidates.

Talent acquisition teams

Track progress with real-time dashboards and auditable records.

🎯 Compliance teams

Ensure uniform evaluation and documentation across hires.

📋 HR operations

Reduce manual data entry through integrated automation.

Integrations

This AI agent integrates with Gmail, Drive, OpenAI, and Sheets to automate data flow.

Gmail

Monitors inbox for new CV submissions and triggers the AI agent.

Google Drive

Stores attachments and hosts the extraction pipeline.

OpenAI

Processes evaluation prompts, returns strengths/fit and score.

Google Sheets

Stores structured results and provides a live review sheet.

Applications

Best use cases

Six practical scenarios where this AI agent adds value.

High-volume inbound CV streams via email.
Organizations with Gmail-based application intake.
Roles with standardized evaluation rubrics.
Fast time-to-review for entry-level and technical roles.
Auditable candidate evaluation for compliance.
Centralized data and real-time status visibility.

FAQ

FAQ

Practical answers to common concerns about this AI agent.

No. The AI agent handles repetitive data capture, extraction, scoring, and logging to reduce manual work. It provides structured insights and recommendations to assist human decision-makers. Final hiring decisions remain with humans, who can review AI-provided summaries and scores. You can adjust prompts and rubrics to align with your governance. It is designed to augment, not replace, your team.

The agent supports PDF, DOCX, and TXT formats. It routes files through a type-specific extractor after detecting the format. For scanned documents, OCR-based parsing can be enabled to retrieve text. If a file is unreadable, it flags the item for manual review. Overall, the system aims to maximize data capture while maintaining accuracy.

CV attachments are stored in Google Drive within a designated folder. Evaluation results live in Google Sheets with controlled access governed by your Google Workspace permissions. Access is restricted to authorized recruiters and hiring managers. The AI agent does not export data outside your Google environment. All data handling follows your organization’s security policies.

Yes. You can adjust prompts and scoring rubrics to match each role. The agent supports role-specific criteria and weighting. You can define required skills, years of experience, and other benchmarks. This ensures consistent evaluation aligned with your hiring standards.

Security mirrors your Google Workspace settings and organizational controls. Data remains within your domain and is governed by Google’s security model. Access is user-based and auditable. Regular reviews and permission management help maintain compliance. For extra protection, enable admin controls and monitoring on Drive and Sheets.

The current setup focuses on CVs and resumes, but the extraction and logging pipelines can be extended to other document types. You can configure the prompts and criteria to accommodate additional artifacts. Changes would apply to the same Gmail/Drive/Sheets workflow. This keeps a single source of truth for candidate-related documents.

Logging happens in near real-time as soon as evaluation completes. The exact speed depends on network latency and file size, but typical runs finish within seconds. The structured parser ensures consistent data formatting for every entry. This enables rapid review by recruiters and managers.


AI Agent for Screening CVs and Scoring Candidates

Automate the end-to-end CV screening workflow from Gmail to Sheets with AI-based evaluation.

Use this template → Read the docs