Institutional AI research • Governance • Assurance

Research shaping the future of AI governance.

Independent research, governance frameworks, industry outlooks and AI Governance Ratings™ designed to support enterprise, government and regulated industries.

Publications

Four titles

Sector frameworks

Four sectors

Review cadence

Continuous

Latest research

Every title carries a reference, a version and a review state.

Outlooks, benchmarks and sector frameworks published under the AIGX methodology. Each entry states where it stands, so a reader can tell a published position from work still in review.

AIGX-R-2026-01Market outlook · v1.3

AI Governance Ratings™ 2026 Market Outlook

How ratings, gate logic and comparable scoring are being introduced into AI procurement, and what buyers in regulated sectors are expected to ask for over the coming year.

AIGX-R-2026-02Benchmark · v1.0

Enterprise AI Governance Benchmark Report

Control coverage, evidence completeness and open gate states across completed assessments, reported as cohort ranges under consent and confidentiality rules.

AIGX-G-2026-01Framework · draft

Responsible AI Framework for Government

Public accountability, transparency, rights and safety, records and oversight — set out as controls with named obligations, required artifacts and accountable owners.

AIGX-H-2026-01Framework · v1.2

Healthcare AI Governance Framework

Clinical safety, model validation, human oversight, monitoring, third-party controls and data privacy for one AI system in clinical or operational use, or in active pre-deployment.

Research programs

Different entry points. One evidence model behind all of them.

Each sector framework defines its own controls, risk classes and evidence requirements, and runs on the same assessment infrastructure.

Clinical AI · SaMD

AIGX Health

Clinical safety, evidence traceability, human oversight, privacy and lifecycle monitoring.

Banks · insurers

AIGX Finance

Model risk, explainability, fairness, third-party controls and regulatory reporting.

Autonomous agents

AIGX Agentic AI

Delegated authority, tool access, action boundaries, escalation and observability.

Public sector

AIGX Government

Public accountability, transparency, rights and safety, records and oversight.

Methodology

What makes published research defensible.

Criteria are published before findings are. Issuance is separated from remediation support. Every position carries a documented path to challenge it.

01

Published criteria

Scoring criteria, risk classes and evidence requirements are published before an assessment is scored against them.

02

Separated issuance

Platform workflow and remediation support are held apart from rating issuance and reviewer approval.

03

Documented appeal path

A rated organization can contest a finding through a recorded process, with the outcome traceable to the evidence.

Next step

Bring one AI system. We will show you where it stands.

Disclaimer

AIGX™ assessments and ratings are independent governance evaluations and do not constitute certifications, regulatory approvals, legal opinions, or attestations of compliance. References to third-party standards, regulations, and frameworks are provided for alignment purposes only and do not imply affiliation, endorsement, sponsorship, or certification by their respective owners.