Automate Your Recruiting
Transform manual tasks that take hours into instant workflows powered by InternGlobe's Artificial Intelligence framework.
Why automate?
Recruiting college students or recent graduates often attracts massive volumes of applications for a single job posting. Taking the time to open each resume, read it, evaluate it, and then write a custom email (rejection or invitation) by hand can consume half of a recruiter's entire week. With InternGlobe Workflows, you are not displacing humans: you are freeing them up to completely focus on high-value face-to-face interviews.
Massive Time Savings
An application is read, scored at 64/100, placed in "Average", and notified by a very cordial email pointing out improvement areas... all in exactly 4.2 seconds. Without a single click from you.
Unbiased AI Decisions
No more punishing "diagonal reading" because you are short of time. Globy reads the entire profile objectively by applying the "Company Culture" you instructed.
5-Star Candidate Experience
No more applicants left "ghosted" for weeks. They get high-quality, insightful replies rapidly, and your employer branding improves exponentially.
System Anatomy of a Workflow
You build a Workflow visually on a "Canvas". It's simply a flow-chart where small boxes (called nodes) are linked together using cables (called edges).
1. The Trigger (Anchor point)
The root spark. Every flow begins with an indisputable event. For example: "A student drops their resume on the Data Scientist posting" or "14 days of inactivity on a case".
2. The Intelligence (Globy Orchestrator)
The thinking phase (optional but powerful). Globy intercepts the Trigger profile and employs sub-agents to: condense an endless PDF, generate a text, evaluate a trait, or translate an asset.
3. Logic (Condition Crossroads)
The switch tracks of the flow. If Globy determines the profile's score > 80, the flow rides the True edge (path A). Otherwise, it hits False (path B). Logic also involves timers (Pause 3 days to follow up).
4. Final Action
The physical outcome that a human intern would have executed themselves: delivering the end-to-end email (statically written or natively by AI), attaching a UI label, or progressing the stage (Review ➜ Terminated).
Engineering Catalogue
Now that you understand the architectural philosophy backing recruiting automation, below is the granular data-dictionary of all Nodes and Variables you wield to form your pipelines.
Dynamic Variables
Use these tags in your emails and notifications to personalize your messages automatically:
Prénom et nom du candidat
Titre du stage concerné
Nom de votre entreprise
Score de matching généré par l'IA
ID unique de la candidature
1. Triggers
New Application
Fires immediately when a resume is submitted.
Configuration
- Target Listing: All listings or a specific one by ID.
- Listing ID: Technical ID of the job post (found in URL).
Output Data
Output Variables: {{applicationId}}, {{candidateEmail}}.
Stage Changed
Triggers when a candidate moves across your pipeline phases.
Configuration
- From Stage: The initial stage (optional).
- To Stage: The stage that fires the workflow (e.g., Interview).
Candidate Waiting
Fires when a profile has been waiting for a response for too long.
Configuration
- Waiting Days: Number of consecutive days with no action on the profile.
2. Actions
Email to Candidate
Automated delivery of a customized email.
Subject
Email subject line (supports variables).
Message
Rich content with dynamic values.
Reply To
Custom return email address.
Update Stage
Auto-move candidate across CRM stages.
New Stage
The target phase (e.g., Rejected, Hired).
Confirm
Send native platform confirmation to candidate.
Add a Tag
Marks the candidate profile with a visual tag.
Tag Name
The text of the tag (e.g., Talent Pool, Top Profile).
3. Logic & Conditions
IF / ELSE Logic
Logic fork for your workflow.
Test Parameters
Field
Property to test (Stage, AI Score, Resume...).
Operator
Comparison (Equals, Greater than, Contains...).
Value
The target for comparison.
Expected Behavior
If condition is met -> "True" Path Else -> "False" Path
4. The Globy AI Orchestrator & Sub-Agents
Globy is not just a simple node. It is an Intelligent Orchestrator that delegates work to specialized sub-agents. The orchestrator enforces your Company Culture and Strict Rules to every agent down the line.
Globy Orchestrator
globy_orchestrator
The central brain directing AI sub-agents. Defines the tone, strict rules, and company culture to respect for the entire flow.
Sub-agent: Scoring
globy_score
Scores the application from 0 to 100, justifying its choice based on your strict criteria.
- CriteriaKey points to scrutinize (e.g. +20 points if React JS).
- Min ThresholdThe minimum score required to move to the next step.
Sub-agent: Drafting
globy_draft
Drafts perfect emails (rejection, interview invite) adapting to the candidate's journey.
- PromptThe goal of the email (e.g. Draft an encouraging rejection).
- ToneWarm, Direct, Formal.
- TargetCandidate (external) or Employer (internal).
Sub-agent: Summary
globy_summarize
Condenses a 3-page resume into an ultra-fast summary for the recruiter to read.
- FormatParagraph, Bullet points, or Scorecard.
- FocusWhat to look for (Strengths, Weaknesses).
Sub-agent: Classify
globy_classify
Automatically sorts complex profiles into your own categories.
- CategoriesComma-separated list (e.g. Tech, Marketing, Data).
- Sorting RulesHow the AI should make its final decision.
Sub-agent: Translation
globy_translate
Translates any document or generated summary.
- FromSource language (Auto-detect supported).
- ToTarget language (French or English).
Simulator & Debugging
// Simulating a score of 85 application
09:00:01 [START] Trigger: New Application (John Doe)
09:00:02 [NODE] AI_SCORE -> Result: 85/100
09:00:03 [LOGIC] IF (score > 80) -> Output: TRUE
09:00:04 [ACTION] Email Candidate (Success)
09:00:05 [FINISH] Workflow complete in 4.2s