AI governance evidence automation

AI governance evidence.In minutes.Zero vendor custody.

Scan. Report. Done. We retain nothing.

Mechapiens

AIGovXRay product UI

Web + deep scan

Click to open full preview

Evidence workflow

Evidence in

Deterministic findings

Evidence pack

Continuity capsule

Future drift

Most AI governance programs fail not because companies lack policies, but because turning policies into auditable evidence is slow, manual, fragmented, and expensive. Mechapiens is building an automation layer that converts AI governance obligations into evidence-producing workflows without long consulting projects, heavy integrations, or slow NDA/DPA back-and-forth.

Mechapiens

AIGovXRay product UI

Web + deep scan

Click to open full preview

Evidence workflow

Evidence in

Deterministic findings

Evidence pack

Continuity capsule

Future drift

Technology

AIGovXRay turns governance obligations into evidence-producing workflows.

Available now

AIGovXRay

Governance automation technology that turns obligations, scans, and submitted evidence into audit-ready workflows and report artifacts.

View findings and scan options Download Sample Report

How is this different from a risk assessment tool?

Risk assessment tools estimate likelihood and impact. AIGovXRay doesn't. It ingests your evidence, compares it against regulatory obligations using deterministic logic, and produces a traceable findings report - not a score, not a prediction, just a verifiable record of where you stand. For auditors, that's the difference between a conversation starter and a decision-ready artifact.

In development

AICM

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

In development

AIDP

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

What we defend

Four assets for making AI governance operational.

AI governance automation

Convert policy and framework obligations into repeatable workflows that produce evidence, findings, and reviewable report outputs.

Continuity Capsule

Preserve audit continuity, timeline context, and drift comparison through report-side continuity controlled by the customer.

Zero-retain evidence handling

Use uploaded source evidence and report artifacts as temporary operational materials, reducing unnecessary custody and leakage risk.

Evidence-based AI governance

Package findings, supporting signals, framework mapping, and continuity context into a report-side evidence pack that auditors and governance teams can inspect.

Public signal reports

Public AI governance signals across banking markets.

AIGovXRay Web Surface Scans identify what is observable before privileged access: disclosure posture, public AI interfaces, data-entry surfaces, and evidence fragility. These reports are market-level signal maps for deciding where deeper evidence review should begin.

European Banking 2026

102 SI banks and materially related entities.

Public web-surface scan across the EEA, Switzerland, and the United Kingdom. The revised report identifies 12 confirmed signals, including three HIGH overall risk signals requiring immediate review, and maps them against EU AI Act Article 50, ISO/IEC 42001, and NIST AI RMF lenses.

Download European Report

American Banking 2026

35 US institutions with observable public AI surfaces.

Public web-surface scan of federally insured depository institutions with observable AI or chatbot interfaces. The report identifies three confirmed signals and a market pattern where major bank AI systems are often kept behind authentication while public surfaces concentrate among community banks and credit unions.

Download American Report

Protocol authorship

Inspecting against the protocol layer the market is missing.

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 is being refined through real-world scans, revised public signal research, and evidence-pack review workflows.

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 source-evidence retention by design. Generate governance reports quickly with temporary report artifacts, minimizing data leakage risk and simplifying secure external assessments.

Web-surface findings Governance gap packs Evidence posture Framework mapping

Approach

Built for environments where AI needs a record.

Mechapiens connects public-surface triage, submitted evidence, framework obligations, and generated reports to the workflows buyers and supervisors already expect, without presenting the result as legal certification or compliance attestation.

Obligation to workflow

Evidence before opinion

Continuity without custody

Low-friction governance review

Framework lenses

EU AI ActNIST AI RMFISO 42001NIS2SOC 2 Type IIDORA