AI governance infrastructure

Audit-ready AI governance evidence in minutes. Without custody of your data.

Mechapiens develops audit-first systems for inspecting AI behavior, surfacing governance gaps, and supporting evidence-based oversight across high-stakes environments.

Technology

AIGovXRay is the flagship inspection system. AICM and AIDP are the next protocol layers.

In development

02

AICM

AI Change Management for tracking material system changes through explicit governance checkpoints and release evidence.

In development

03

AIDP

Agent Interaction and Delegation Protocol for structured interaction, authorization, delegation, and execution boundaries.

Protocol authorship

Inspecting against protocols we are building.

Protocol-level governance

AICM and AIDP are being developed as governance primitives for change control, delegation boundaries, and accountable agentic execution. AIGovXRay is the inspection layer that turns those ideas into reviewable evidence.

Mathematically grounded engine

AIGovXRay uses deterministic analysis and structured scoring logic to keep findings traceable, repeatable, and explainable across evidence-led governance reviews.

Who we are

Built for evidence-grade AI governance.

Mechapiens is led by Ioannis Vandoulas, Founder & Systems Architect and creator of AIGovXRay, AICM, and AIDP. The company builds AI governance and forensic technologies focused on evidence continuity, agentic system inspection, and operational accountability.

AIGovXRay is a functional inspection system developed end-to-end by Mechapiens, with capabilities for evidence ingestion, deterministic analysis, governance gap detection, and structured reporting. Its approach has been validated through real-world scans on high-stakes European organizations.

Ioannis presented AIDP at IETF 125, contributing to protocol-level discussions on agentic execution and delegation governance.

AIGovXRay

Inspect website surfaces and governance evidence packs.

Zero-retain by design. Generate governance reports quickly without persistent evidence retention, minimizing data leakage risk and simplifying secure external assessments.

Approach

Built for environments where AI needs a record.

Mechapiens maps evidence, findings, and governance gaps against AI risk and resilience frameworks without presenting the result as a legal certification or compliance attestation.

Evidence before opinion

Controls that survive iteration

Traceability across agentic workflows

Human accountability by design

Framework lenses

EU AI ActNIST AI RMFISO 42001NIS2SOC 2 Type IIDORA