AI for HR & People Analytics

AI for HR That Finds,
Keeps, and Develops Talent

HR teams drown in CVs, exit interview notes, and survey data that never turns into action. We build AI systems that screen smarter, predict attrition before it happens, and surface the people insights that HR leaders need to make better decisions — at the speed that modern talent markets demand.

Smarter screening Attrition prediction People insights
85%
Screening Time Saved
45days
Earlier Attrition Warning
98%
Client Satisfaction
AI for HR & People Analytics Capabilities
Enterprise-grade
AI Resume Screening & Matching95%
Employee Attrition Prediction92%
People Analytics Dashboards90%
HR Chatbot & Employee Assistant88%
Screening
Attrition
Analytics
Chatbot
👥 People AI
CanadaHVACfoot-logorakta-logobekn-logologo_modicumArcelorMittalHindustan_Unilever_Logo.svgMotorola LogoUnlistedkart logoArvest Bank LogoSaudi Irrigation OrganizationAurobindo PharmaWHO (2)L&T (2)FinoFarewayChromaBosch (2)
CanadaHVACfoot-logorakta-logobekn-logologo_modicumArcelorMittalHindustan_Unilever_Logo.svgMotorola LogoUnlistedkart logoArvest Bank LogoSaudi Irrigation OrganizationAurobindo PharmaWHO (2)L&T (2)FinoFarewayChromaBosch (2)
What's Included

AI for HR Capabilities, End to End

End-to-end capability — from strategy and build to integration, monitoring, and ongoing support.

📋

AI Resume Screening & Matching

NLP models that parse CVs, extract skills, and rank candidates against job requirements — processing 10,000+ applications per day with configurable bias controls and explainability.

🚪

Employee Attrition Prediction

ML survival models that identify at-risk employees 45–60 days before likely departure — enabling targeted retention interventions for your highest-value talent.

📊

People Analytics & Dashboards

AI-powered people analytics platforms surfacing workforce trends, engagement signals, skill gaps, and performance patterns — integrated with your HRIS data.

💬

HR Chatbot & Employee Assistant

AI HR assistant handling policy queries, onboarding guidance, benefits questions, leave management, and IT helpdesk — reducing HR helpdesk volume by 50–70%.

🎯

Skills Gap & Learning Recommendations

ML models analysing current workforce skills against future role requirements — identifying skill gaps and recommending personalised learning interventions.

⚖️

Bias Detection in Hiring

Fairness auditing tools that monitor screening and selection decisions for demographic disparities — with automated alerts and model adjustments to maintain equitable hiring.

How We Work

Our Engagement Process

A disciplined, outcome-focused approach from first call to go-live.

  1. 1

    HR Data Audit & Privacy Review

    Assess your HRIS, ATS, and survey data — establish GDPR/EEOC-compliant data handling protocols before any model development.

  2. 2

    Use Case Prioritisation

    Identify the highest-impact HR AI use cases — typically attrition prediction, resume screening, or HR chatbot — and sequence by business value.

  3. 3

    Model Development & Bias Testing

    Build predictive and NLP models with rigorous fairness testing — ensuring AI does not perpetuate demographic biases in hiring or performance decisions.

  4. 4

    HRIS & ATS Integration

    Integrate AI into Workday, SAP SuccessFactors, Greenhouse, Lever, or your existing HR stack — surfacing insights in existing workflows.

  5. 5

    Change Management & Monitoring

    Train HR teams on AI-assisted workflows, set up bias monitoring dashboards, and establish human oversight protocols for high-stakes decisions.

Technology Stack

Tools & Frameworks We Master

A production-tested, vendor-agnostic stack built for enterprise security and compliance requirements.

NLP & CV Parsing

spaCyBERTHugging FaceLLM ExtractionAffindaRchilli

Predictive ML

XGBoostSurvival AnalysisRandom ForestSHAPFairlearnIBM AI Fairness 360

HRIS & ATS Integration

WorkdaySAP SuccessFactorsGreenhouseLeverBambooHRADP

Chatbot & Engagement

GPT-4oLangChainSlack APITeams APIWhatsApp API
Real-World Impact

Use Cases by Industry

Production AI systems we have built across regulated, data-heavy industries.

Technology

Resume Screening AI

NLP screening system processing 10,000+ weekly applications — reduces recruiter screening time 85%, bias-tested across demographic groups.

NLPBERTRecruiting
Financial Services

Attrition Prediction Model

Survival analysis model identifying flight-risk employees 45 days before departure — targeted retention program saved $3.2M in replacement costs.

Survival AnalysisHRBFSI
Retail

HR Chatbot on Slack

AI HR assistant handling policy queries, leave requests, and onboarding for 8,000 employees — 60% reduction in HR helpdesk queries.

LLMSlackHR
Consulting

Skills Gap Analytics

ML analysis of workforce skills vs client project requirements — identified critical skill gaps 6 months ahead, enabling proactive L&D investment.

MLSkillsConsulting
Healthcare

Clinical Workforce Planning

AI workforce planning model predicting nursing demand by unit and shift — reduces agency staffing costs 32% while maintaining safe staffing ratios.

ForecastingWorkforceHealthcare
Manufacturing

Bias Monitoring in Hiring

Fairness audit and monitoring system across hiring pipeline — identified and corrected 3 algorithmic bias patterns, improved diverse hire rate 28%.

FairnessBiasDEI
Client Voices

What Teams Say After Shipping with Us

Real results from teams who needed AI to work in production, not just in a demo.

AndolaSoft has been a valued partner providing excellent customer service. Issues with clients or troubleshooting are handled in a timely manner and positive resolution is always the outcome.
JK
Jim Kaplan
Founder, AuditNet
I got a recommendation on AndolaSoft. They are more than half the cost, they have a can-do attitude, and they are responsive, timely, and easy to work with.
CV
Caroline Van Sickle
Pretty in my Pocket, Atlanta GA
Andolasoft team is very hardworking, dedicated and professional that follows through with their goals. The technical leadership is also a superior value to any other developers.
ZN
Zeid Nasser
Editor-in-Chief, theCollegeDriver.com
FAQ

Frequently Asked Questions

AI can be used to assist hiring decisions — but must comply with anti-discrimination laws (EEOC, EU AI Act) and must not make final hiring decisions autonomously. We build AI as a screening and ranking tool with human oversight and audit trails, with bias testing across protected demographic groups.

Ready to Add AI to Your HR Operations?

Tell us your biggest HR challenge — recruitment volume, attrition, or employee experience. We will design an AI system that makes your HR team more effective.