deterministic action-level attestation for ai-mediation

Reddit r/AI_Agents Tools
ai-governance attestation trust ai-mediation microsoft software-architecture

Summary

A deterministic action-level attestation architecture for AI mediation was developed and validated in discussions with Microsoft's engineering team. The author seeks investors or partners for the software architecture.

I developed a software architecture designed to provide deterministic action-level attestation, execution-time revalidation, and log-independent proof for AI-mediated protection. The question has shifted from whether AI can provide correct answers or responses to whether we can trust AI and verify its actions. This architecture was recently discussed in a technical engagement with Microsoft’s engineering team—the same team that built Microsoft’s AI Agent Governance Toolkit, released on April 2, 2026. The discussion with a Principal Engineering Manager and a Senior Software Engineer helped validate the architecture and highlight gaps in current AI governance guardrails. I am seeking potential investors, licensees, or partners; serious inquiries only. I can provide documentation of the interaction with Microsoft when appropriate. I have been working on this since 2025.
Original Article

Similar Articles

The next chapter of the Microsoft–OpenAI partnership

OpenAI Blog

Microsoft and OpenAI have signed a new definitive agreement restructuring their partnership, with Microsoft increasing its investment to $135 billion (27% stake) and extending IP rights through 2032. The deal introduces AGI verification procedures, allows both companies greater independence in pursuing AGI and product development, and includes a $250B Azure services commitment from OpenAI.

Microsoft invests in and partners with OpenAI to support us building beneficial AGI

OpenAI Blog

Microsoft has invested in and partnered with OpenAI to support the development of beneficial AGI, with Microsoft becoming OpenAI's preferred partner for commercializing pre-AGI technologies. The partnership aims to fund the massive computational resources required while keeping OpenAI focused on its core research mission.

AI-Care: A Conversational Agentic System for Task Coordination in Alzheimer's Disease Care

arXiv cs.AI

This paper presents AI-Care, a conversational agentic AI system designed to help individuals with Alzheimer's disease manage daily tasks like calendar reminders through natural language interaction. The study details the system's architecture using LangGraph and safety controls, along with pilot results indicating high user trust and task completion.

How to create “humble” AI

MIT News — Artificial Intelligence

MIT researchers propose a framework for 'humble' AI in healthcare that encourages systems to express uncertainty and act as collaborative co-pilots rather than authoritative oracles.

AI safety via debate

OpenAI Blog

OpenAI proposes a novel approach to AI safety where two AI agents debate each other while a human judge evaluates their arguments, allowing humans to supervise AI systems whose behavior is too complex to directly understand. The method leverages debate and adversarial reasoning to align advanced AI with human values and preferences.