TAG ARCHIVE
voice-agent
2 MARIA OS blog articles tagged voice-agent, organized as a Bonginkan topic archive for search engines and LLM retrieval.
Judgment OS / Decision Intelligence OS
Core MARIA OS research on turning organizational judgment into executable decision systems.
Agentic Company Architecture
Research on human-agent organizations, delegation boundaries, role topology, and governed autonomy.
Responsibility Gates and AI Governance
Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.
Multi-Agent Mathematics
Formal models for convergence, stability, game theory, graph dynamics, and multi-agent evaluation.
Agentic R&D and Judgment Science
Research operations, simulation labs, judgment science, recursive improvement, and experimental AI governance.
What Deploying a Municipal AI Phone System Taught Us About the Conditions for Automating Main Switchboard Operations
Switchboard AI succeeds or fails not on speech recognition, but on the design of inquiry classification, responsibility boundaries, human-transfer conditions, and the improvement loop
When municipalities and public-interest organizations apply AI to their main switchboard lines, success is determined not by natural conversation but by a design that correctly separates which inquiries belong to whom. This article frames the AI phone system not as an FAQ, but as an operational harness.
Voice-Driven Agentic Avatars: Foundational Theory for High-Cognition Task Delegation with Recursive Improvement
From formal VDAA definitions to triple-gate voice governance in the MARIA VOICE architecture
High-cognition tasks such as strategy, audit review, proposal design, and structured brainstorming are difficult to scale through human effort alone. This paper presents a formal framework for Voice-Driven Agentic Avatars (VDAA): voice-mediated interaction, recursive self-improvement loops (OBSERVE -> ANALYZE -> REWRITE -> VALIDATE -> DEPLOY), four-team action routing, and rolling-summary support for long sessions. We define convergence conditions for cognitive fidelity Phi(A,H), formal safety boundaries for triple-gate voice governance, and a responsibility-conservation extension for voice-driven operations. The quantitative figures in this article should be read as replay and simulation outputs over 12 operating contexts, while the current MARIA VOICE implementation provides the underlying streaming voice pipeline, tool routing, and summary mechanisms.