The HR Leader’s Guide to Multiagent HR Architecture
In 2030, an HR leader wakes up to an alert, not a calendar of meetings: overnight, AI has already flagged a leader’s
resignation, a retention risk on a high-performing team, and a quality problem tracing back to a skills gap. By 9 a.m., a cross-functional team is acting on it.
This is the vision of HR 2030: a dynamic enabler for growth, not a service desk. But what has to be true for that morning to unfold as described, instead of badly wrong?
AI adoption may feel inevitable, but the decisions that determine whether a multiagent HR architecture succeeds are purposeful. They are business decisions — about governance, design, and where humans must stay in control. They belong to HR leadership, not IT. The HR leader who does not make these decisions deliberately still makes them — just by accident.
HR 2030™: The HR Leader’s Guide to Multiagent HR Architecture is the second installment in the HR 2030™ research series. Where the Blueprint mapped the full architecture, this report makes it governable. Submit the form below to download the complimentary executive summary and to indicate interest in Corporate Membership and Galileo for access to the full report.
Based on decades of research, Josh Bersin Company experts defined six concrete decisions every HR leader must make before IT builds a multiagent architecture.
The most important finding? Orchestration, not number of agents, is what creates value. A global bank built 17 recruiting agents. Because they were disconnected — from each other and from adjacent domains like rewards and career management — they underdelivered. What was missing was not more agents. It was an architecture, a set of decisions, and a governance model. This report provides all three, exploring:
- The Bersin Company exclusive HR 2030™ Multiagent HR Technology Stack, which describes 8 AI superagents and more than 150 individual AI agents that together can eliminate 40% of today’s task-oriented HR work.
- Six critical decisions, each mapped to a distinct risk that autonomous agents introduce, that HR leadership must make to ensure success.
- A single consistent scenario throughout — a high-performing engineering manager who resigns without warning — to show exactly how all five agent types, all six decisions, and every layer of the technology stack play out in a real situation.
- Leading Agent Control Platforms and their capabilities, the Four Categories of Data in HR 2030™ Architecture, the Agent Autonomy Spectrum, and more.
HR 2030™: The HR Leader’s Guide to Multiagent HR Architecture is the second installment in an ongoing, data-driven research initiative and collective program of innovation, learning, and technology exploration by The Josh Bersin Company. To learn more, contact us.
Learn More:
Access and activate the Galileo Suite- and Corporate Member-exclusive HR 2030™ Multiagent HR Architecture report through:
- Pre-built Galileo® Agent workflows that help you assess your organization’s current AI readiness and generate your next steps aligned with the four-stage transformation model included in the Blueprint.
- Learn how to design agentic HR architectures, reimagine roles and workflows for an AI-first world, and apply practical strategies that drive scale, agility, and growth through the new Galileo Learn® course HR 2030™: Building the Agentic HR Function.
- Customized advisory support and expert guidance focused on your organization’s current state, most pressing challenges, and long-term goals available through Corporate Membership.
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