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Cartoon MangoCartoon Mango
AI HR Automation — Bengaluru

AI-Powered HR Automation — Recruitment Screening, Onboarding & Employee Engagement

Resume screening that processes 10K applicants in hours, not weeks. Autonomous onboarding for 500+ hires without bottlenecks. Attrition prediction that gives you 90 days to save your best people.

Get an HR Automation Assessment
10+ HR deployments75% faster screening18% less attrition
AI HR automation — recruitment screening, onboarding and employee engagement
AI HR AutomationGet HR Assessment

Why AI for HR

Three Ways AI Transforms HR Operations

01

AI Resume Screening

75% less screening time with bias-audited algorithms. Multi-language resume parsing that understands skills beyond keywords. Processes 10K applicants in hours while surfacing the best matches for human review.

02

Autonomous Onboarding

Document collection via OCR, background verification through API, and IT provisioning — all without HR bottlenecks. New hires go from offer letter to productive team member in 3 days instead of 3 weeks.

03

Attrition Prediction

ML model with 90-day early warning on flight risks. 18% reduction in voluntary exits through timely intervention. Engagement scoring identifies disengagement patterns before they become resignation letters.

Real HR Deployments

AI Automation Running in HR Operations

IT Services Company

AI screening system for a company receiving 10K+ applications/month across 200+ open roles. NLP resume parsing with intelligent matching against job requirements. 75% reduction in screening time with 30% better quality-of-hire scores.

NLP Resume ParserMatching EngineATS Integration

Manufacturing Group

Onboarding automation for a group hiring 500+ people/year across 8 plants. Document OCR collects and verifies Aadhaar, PAN, and education certificates. Background verification runs via API. Onboarding time dropped from 3 weeks to 3 days with zero manual document chasing.

Document OCRVerification APIHRMS

BPO Attrition Prediction

ML-powered attrition prediction for a 5,000-person BPO with 45% annual attrition. Model analyzes engagement, performance, and tenure signals to generate 90-day early warnings. 18% reduction in early exits, saving ₹80L/year in rehiring and training costs.

XGBoostEngagement AnalyticsSlack Bot

Architecture

Our HR AI Stack

Layer 1

AI / ML

NLP for multi-language resume parsing. Sentiment analysis for engagement scoring. Predictive attrition models using XGBoost. Skill matching algorithms with semantic understanding.

Layer 2

Integration

ATS connectors for Lever, Greenhouse, and Naukri. HRMS integration with SAP SuccessFactors, Darwinbox, and Zoho People. Slack and Teams bot deployment.

Layer 3

Automation

Document OCR for identity and education verification. E-signature workflows for offer letters and policies. IT provisioning API triggers. Background verification automation.

Layer 4

Analytics

Engagement dashboards with real-time scoring. Diversity metrics and bias auditing. Compensation benchmarking models. Time-to-hire and cost-per-hire tracking.

10+

HR Deployments

75%

Faster Screening

18%

Less Attrition

500+

Hires Automated

Our Process

From Assessment to Production in 10 Weeks

Week 1-2

HR Assessment

Audit recruitment, onboarding, and retention workflows. Identify high-ROI automation targets. Map data flows across ATS, HRMS, and communication tools.

Automation Roadmap
Week 3-5

Model Development

Train ML models on your hiring and employee data. Build screening, matching, or attrition models. Validate accuracy against historical outcomes.

Trained Models
Week 6-8

Integration & Testing

Connect to ATS, HRMS, and communication platforms. Configure document workflows. Run in shadow mode alongside existing processes.

Shadow Deployment
Week 9-10

Go Live

Switch to AI-assisted mode with monitoring, alerting, and HR dashboards. 30-day support included.

Live Deployment

Investment

Transparent Pricing

Exact costs depend on hiring volume, system integrations, and automation scope. We provide a detailed estimate after the assessment.

Single Use Case

₹2-6L6-8 weeks

AI automation for one HR process — resume screening, onboarding automation, or attrition prediction. Includes model training, integration, and deployment.

Most Popular

Multi-Process

₹8-20L3-4 months

AI across multiple HR processes with shared models, unified dashboards, and end-to-end employee lifecycle automation.

Enterprise

On RequestScoped per engagement

Organization-wide HR AI transformation with custom models, HR team training, and long-term support across business units.

Contact Us

Client Testimonials

What Our Partners Say

"Cartoon Mango was great to work with. They improvise and provide 24X7 support."

BCCI
Gaurav SaxenaMedia ManagerBCCI

FAQ

Common Questions About HR AI

  • Our AI screening is designed with bias mitigation at its core. The system evaluates candidates strictly on job-relevant qualifications — skills, experience, and competencies — while ignoring factors like names, addresses, photos, or educational institutions that can trigger unconscious bias. We train on de-biased datasets and run regular fairness audits across gender, age, and demographic groups. Every screening decision includes an explainability log so you can audit why candidates were ranked the way they were.

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Tell Us About Your HR Operations

Share your biggest bottleneck — recruitment, onboarding, retention. We'll respond with an automation roadmap and ROI projection.

  • HR automation assessment
  • ROI estimate with payback timeline
  • Engineering-first conversation, no fluff

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