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Most HR platforms automate workflows. We built something different: an autonomous HR operations owner. Invisible HR is a self-service HR operations platform built on Google’s open-source Agent Development Kit (ADK). Instead of routing tickets or responding to prompts, the system continuously observes HR events, makes decisions, and executes operational work independently—taking on the day-to-day responsibilities of an HR operations employee. Using Google ADK allows the platform to remain open, modular, and extremely cost-efficient. Organizations can deploy autonomous HR agents without expensive proprietary platforms, long integration cycles, or per-seat pricing. The system runs as a long-lived agent that owns onboarding and HR operations end-to-end, rather than acting as a reactive chatbot. From the moment a candidate accepts an offer, the agent automatically generates jurisdiction-aware employment contracts, NDAs, and equity documents, tracks versions and amendments, and routes only legally sensitive actions for human approval. During employment, employees interact with a conversational assistant to get instant answers to policy questions, update personal details, and submit routine requests—without creating HR tickets or interrupting staff. The agent continuously monitors compliance obligations such as visas, certifications, training, and equipment sign-offs. It proactively triggers renewal workflows, escalates risks before deadlines are missed, and maintains audit-ready evidence. HR teams are notified only when judgment or approval is required. By leveraging Google ADK’s agent-first architecture, the platform behaves like a real employee: it runs continuously, maintains internal state, adapts to exceptions, and improves over time. The result is invisible onboarding, dramatically reduced HR operational load, lower cost of ownership, and a seamless employee experience—without replacing human oversight where it matters.
7 Feb 2026

This workflow ingests business requirements and vendor records, then extracts, structures, and interprets procurement needs using automated parsing. It filters, scores, and evaluates vendors based on requirement-matching criteria, applying closest-fit logic when exact matches are unavailable. Vendor reliability is validated through external reputation and brand-credibility checks to ensure recommended suppliers meet quality and trust standards. After evaluation, vendors are ranked using a composite scoring model that considers requirement alignment, pricing, capacity, delivery timelines, and reliability indicators. The workflow also generates clear justifications explaining why top vendors are prioritized and why lower-ranked vendors fall short. All results are consolidated into a structured procurement report that includes requirement mapping, vendor comparisons, rationale summaries, and final recommendations. It supports multi-industry procurement, partial shipment considerations, dynamic scoring adjustments, and soft-constraint relaxations to accommodate real-world supply limitations. This ensures organizations receive actionable, transparent, and optimized vendor selection guidance across diverse purchasing scenarios.
19 Nov 2025