Authority and Credentials

The person who built GIA
has been doing this for 17 years.

William J. Storey III is an Information Systems Security Officer with 17 years supporting the U.S. Army Ranger Battalion. He founded Advanced Consulting Experts (ACE), a Service-Disabled Veteran-Owned Small Business, and built GIA from first principles — before the market knew it needed it.

SDVOSB Verified CMMC C&P GOVAI Committee Chair 17yr ISSO
Partner and Standards Registrations

Certified, Accountable, and Independent

Not self-declared expertise, and not borrowed from a vendor. Earned credentials from the standards bodies and federal programs that set the requirements GIA implements — none of them issued by a supplier GIA governs.

ISACA Member Active Member
CMMC Certified Professional C&P Certified
SBA / DoD Service-Disabled Veteran-Owned Small Business SDVOSB Verified
GOVAI Coalition

Committee Chair — Three Committees

William does not just build AI governance tools. He chairs three committees at the GOVAI Coalition, helping set the standards those tools implement.

Chair

Readiness and Adoption Committee

Helps organizations understand what it actually takes to adopt AI governance operationally — not theory, but the sequence, the prerequisites, and the decision gates.

In GIA: The charter onboarding system and Pathfinder engagement model are built on this insight. Readiness is a governance precondition, not a nice-to-have.
Chair

Use Case Committee

Defines the real-world scenarios AI governance must address across federal, healthcare, finance, and enterprise contexts.

In GIA: The MAI classification framework, charter contract system, and agent dispatch model are designed around the use cases this committee identifies.
Chair

Digital Privacy Committee

Addresses data handling, agent access boundaries, and privacy obligations in AI deployments — an increasingly critical intersection as agentic AI scales.

In GIA: The forensic ledger, tenant isolation architecture, and ARBAC policy engine enforce privacy at the infrastructure layer, not the policy layer.
Public Build History

The Receipts

Every major milestone is publicly timestamped. GitHub commit history is cryptographic proof of when the work was done.

2024

MAI Framework — First Documented

Mandatory / Advisory / Informational gate classification system documented in a timestamped Google Doc. The deterministic governance spine that GIA is built on. Predates the current wave of AI governance consultants by at least 12 months.

Timestamped 2024
Early 2025

GIA MCP Server — Public GitHub Listing

GIA listed publicly on GitHub as one of the first governed MCP server implementations. The Model Context Protocol was still nascent. GIA was already building the governance layer on top of it.

github.com/knowledgepa3/gia-mcp-server
2025

NIST AI Standards — TEVV Submission

ACE submitted formal comments to NIST AI Zero Drafts (TEVV) positioning GIA as a live implementation of AI risk management. One of the few small businesses with a real governance platform behind the submission.

NIST Zero Drafts TEVV
2025

Multi-Model Governance Proof

Claude, GPT-4o, and Gemini all governed by GIA through the same MCP control plane simultaneously. Model-agnostic governance proven in production, not in a demo.

Production Verified Claude + GPT-4o + Gemini
2025–2026

Ecosystem Indexing — Organic Discovery

GIA MCP Server independently indexed by Glama, LobeHub, and MCP Bundles. Listed on Smithery. These platforms index what is real and publicly discoverable. No submission required.

Glama LobeHub MCP Bundles Smithery
2026

The Industry Arrives at the Pattern

By mid-2026 the agent-plus-human-gate pattern was being taught to developers as mainstream practice. GIA had been enforcing it since 2025 — MANDATORY gates, Chain of Reasoning audit trails, and cryptographic execution proof — a year before it became the recommendation.

Built First
53
MCP tools in production
3
Models governed simultaneously
128+
Database migrations shipped
17
Years as ISSO before founding ACE
Work With ACE

If you are evaluating AI governance,
talk to someone who built it.

GIA is in production. The credentials are real. The build history is public. The governance is not theoretical.