AI-Powered People Analytics Consulting

People Analytics That Actually Changes How You Run Your Business

Consulting for CHROs and HR leaders who are done with dashboards nobody uses. We build the predictive models, AI systems, and analytics infrastructure that make workforce decisions as rigorous as financial ones.

What We Build

End-to-end people analytics — from strategy through production deployment.

People Analytics Strategy

Most analytics functions produce reports. Yours should produce decisions. We design people analytics operating models — governance, measurement frameworks, stakeholder alignment — that connect workforce data directly to business outcomes.

Custom Dashboard & Application Development

If your executives aren't using the dashboards you already have, the problem isn't the data — it's the design. We build self-service analytics applications in R Shiny and Python Streamlit designed for decision-makers, not analysts.

Predictive Analytics & ML

Attrition is expensive. Not seeing it coming is more expensive. We build predictive models for turnover risk, flight risk scoring, career pathing, and workforce scenario planning — trained on your actual data and validated against your actual outcomes.

Generative AI & LLM Integration

Your HR leaders shouldn't need to file a ticket to get an answer from their own data. We deploy AWS Bedrock-powered AI systems that let non-technical leaders ask workforce questions in plain English and get answers in seconds.

Cloud Architecture & Data Infrastructure

AI and analytics fail when the data underneath them is unreliable. We architect AWS data pipelines, Snowflake schemas, and governance frameworks that make your workforce data trustworthy, secure, and ready for whatever you build next.

Training & Enablement

Analytics functions stall when the capability lives in one person or one vendor. We train HR and analytics teams in Python, R, SQL, and applied AI — building the internal depth that makes your investment in data sustainable.

Explore Interactive Demos

See people analytics in action with hands-on demonstrations of AI-powered tools for workforce insights.

View Demos

About People Analytics AI

PeopleAnalytics.AI is a consulting practice built for one specific problem: most organizations have workforce data but almost none of them use it to actually make better decisions.

We work with CHROs, HR executives, and technical leaders in regulated, high-growth environments — the kind of organizations where workforce decisions carry real financial and operational weight.

What makes us different from the large consultancies is simple: we don't hand you a strategy deck and leave. Our founder is SPHR-certified with a Master's in Business Analytics, and has personally built and deployed production AI systems on AWS — including Bedrock-powered conversational assistants, LLM-driven workforce analytics tools, and predictive models that directly shaped executive talent strategy at a major financial institution.

We speak both languages. HR strategy and technical implementation. Board-ready narrative and Python code. That combination is rare, and it's the reason our clients get working systems instead of slide decks.

Evidence-Based
Every recommendation backed by data, validated against outcomes
Built to Last
Systems and capabilities designed to run without us

Areas of Focus

  • Predictive Attrition & Flight Risk Modeling
  • Strategic Workforce Planning & Scenario Simulation
  • Generative AI Implementation (AWS Bedrock, Lex, Lambda)
  • Natural Language Querying of Workforce Data
  • People Analytics Operating Model & Governance Design
  • HR Data Architecture, Pipelines & Data Quality
  • Executive Self-Service Analytics & Dashboards
  • Skills Gap Analysis & Internal Mobility Programs
  • Learning & Development ROI Measurement
  • Compensation & Pay Equity Analysis

Let's Work Together

Ready to transform your people data into strategic insights? Get in touch to discuss your analytics needs.

Email
hello@peopleanalytics.ai
Location
Remote / Available Worldwide
Response Time
Usually within 24 hours