How HR 2030’s Architecture Works & Amazing World of Personal AI Agents
I’m really excited about the potential for Personal AI Agents. While GrokBot and Muse and Microsoft Autopilot (Scout) are very young (and not at all mature yet), we can now clearly see how personal AI is going to transform and disrupt our business lives.
In this podcast I explain the architecture of HR 2030, our reference blueprint for Agentic HR. You can see how personal agents, action agents, rules agents, monitoring agents, data agents, and Superagents all work together. And it’s important to think this through so you can plan your vendor selection, tech architecture, security architecture, and AI staffing and “management” plan.
Some important concepts:
- HR “agents” do more than HR – they enable dynamic growth, productivity, and cost savings – so take a problem-oriented view
- Clearly defined agents won’t misbehave, as you’ll see in our architecture
- Companies will implement Superagents based on business priority, not just for ideation
- SaaS incumbents are likely to deliver many of these agents, so SaaS Apocalypse may be over
- Agent training, context, and maintenance is critical – and this gives you scale and growth – so new jobs are needed
- Frontier labs may or may not survive this enterprise model
- Personal AI agents will be massive and likely disrupt many HR tech vendors.
Lots to learn about here, read more on HR 2030 and call us or get Galileo to learn more.