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Projects where I identified the real gap and resolved it with the right solution.
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Atomic Role Decomposition for AI-Powered Operations
Role Zero is a framework for breaking work down into its smallest useful units — tasks, workflows, and decisions — and reassembling them so humans and AI each handle what they do best. The goal is to redesign roles around collaboration rather than replacement, then optimize the result for the specific business situation.
I am starting with the HR Generalist role as the first test case: mapping the day-to-day work, separating judgment from repetitive execution, and designing how AI agents handle the routine while the human owns decisions, relationships, and exceptions.
Microsoft Teams Phone + Mobile — Replacing a Broken Calling Stack
A company using Microsoft Teams for office calls could not reach its field staff reliably. Call queue calls rang through the Teams app, but field staff missed them in areas with poor internet. Office staff ended up manually forwarding calls to separate mobile numbers, and missed-call voicemails were locked in one person's mailbox.
I rolled out Teams Phone Mobile so field staff could answer queue calls from their native mobile dialer, with one work number across Teams and mobile.
Multi-Agent HR Hub-and-Spoke
I built a live prototype using Hermes Agent in which a central HR hub decomposes requests and routes work to specialist agents for compliance, payroll, legal, and document templates. The hub then synthesizes the specialist outputs into a coherent, deliverable result.
The system currently supports document generation, version history, compliance monitoring, and PII-aware routing. The most complex part was the routing logic: ensuring each request lands in the right specialist context without allowing sensitive information to leak across agents.
The longer-term vision is HRIS-agnostic integration through APIs, allowing HR teams to interact with their systems in natural language instead of navigating a different, complex interface for every platform.
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