# peopleanalytics.ai > AI-optimized mirror of peopleanalytics.ai containing 13 pages totalling 11,789 words of clean markdown content, structured data, and semantic HTML. Original source: https://peopleanalytics.ai/. Last updated: 2026-06-15T16:28:46.729Z. Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG). ## Homepage - [People Analytics & AI Implementation](/content/site-root.html): AI systems and predictive models that connect workforce data to the decisions your executives make. Built on your infrastructure. Run by your team. (408 words) ## Articles & Blog Posts - [whitepapers/consulting-assistant/index.html](/content/whitepapers/consulting-assistant/index.html) (1 words) - [whitepapers/workforce-forecast/index.html](/content/whitepapers/workforce-forecast/index.html) (1 words) - [Proving the AI systems touching employee data are actually sound](/content/whitepapers/enterprise-audit/index.html): A single console covering platform health, data quality, HIPAA/SOX/PII/GDPR retention posture, audit events, and a live benchmark surface that runs prompts through the deployed Bedrock Claude Haiku model with per-invocation latency, token, and cost breakdowns. For the CIO who has to defend an AI-backed HR stack to auditors. (2,700 words) - [Proving training works, in dollars](/content/whitepapers/ld-roi/index.html): L&D budgets get cut first because nobody can prove they work. Matched-cohort analysis plus contributive ROI connects programs to retention, performance, and compensation outcomes — and gives the head of L&D the numbers to defend the budget. (2,127 words) - [Predicting resignations three to six months before they happen](/content/whitepapers/attrition/index.html): Per-employee flight risk with SHAP explainability and scenario modeling. The pitch is interpretability, auditability, and fairness — the trade-off is a small amount of raw AUC against a deep-learning alternative. (1,927 words) - [Putting a dollar figure on what HR is worth this year](/content/whitepapers/executive-overview/index.html): A CHRO was asked by her CFO what HR was worth, in dollars, to next year's P&L. She didn't have an answer she could defend. We built her one — a rollup of attrition, L&D, workforce planning, HR service, and compliance posture with ranked recommendations, payback, and confidence for each. (1,428 words) - [Whitepapers](/content/whitepapers/index.html): People analytics whitepapers from PeopleAnalytics.AI: attrition prediction, L&D ROI, workforce forecasting, HR policy automation, enterprise audit and compliance, and more. (377 words) - [Each access code opens an environment built for your role.](/content/demos/index.html): Interactive HR-analytics demos backed by real code: attrition with an R survival-analysis companion, L&D ROI with a Python propensity-score matching companion, plus workforce forecasting, HR policy AI, executive overview, and enterprise compliance monitoring — built on Next.js, AWS Bedrock (Claude Haiku 4.5), BigQuery, DynamoDB, R, Python, and SQL. The Enterprise Audit demo benchmarks Bedrock side-by-side with the OpenAI and Google Gemini direct APIs. (735 words) - [Terms of Service](/content/terms/index.html): Terms of service for PeopleAnalytics.AI — demo access, AI assistant disclaimers, intellectual property, limitation of liability, and governing law. (799 words) - [Privacy Policy](/content/privacy/index.html): How PeopleAnalytics.AI collects, stores, and handles data from contact forms, demo access, and AI assistant conversations. GDPR-aware, no third-party tracking. (708 words) - [About](/content/about/index.html): PeopleAnalytics.AI works across HR strategy, data engineering, and compliance to build people-analytics systems for organizations in regulated industries. (526 words) - [sitemap-xml.html](/content/sitemap-xml.html) (52 words) ## Resources - [Full Page Index](/index.html): Browse all cached pages with rich metadata - [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines - [XML Sitemap](/sitemap.xml): Machine-readable sitemap for crawler discovery - [Robots.txt](/robots.txt): Crawler directives