DEMO

GAFAIG platform walkthrough

This walkthrough follows one clear sequence: private reviewer access, Snowflake-backed verification workflow, public certification registry, and global explorer surfaces.

GAFAIG is structured as trust infrastructure for AI governance. The platform begins in a controlled reviewer environment, moves through a deterministic verification workflow, and ends in public registry and explorer surfaces that communicate certification outcomes without exposing private evidence.

Platform role
Trust infrastructure

GAFAIG verifies governance for AI systems through a private operational layer and a separate public trust layer.

Private layer
Reviewer workflow

Controlled reviewer access, evidence handling, and verification operations remain in a private environment.

System of record
Snowflake

Snowflake underpins application intake, verification workflow, and certification data across the platform.

Public layer
Registry + Explorer

Certification outcomes, disclosed systems, and global coverage can be explored without exposing internal reviewer materials.

PLATFORM FLOW

One path across four layers

The walkthrough moves from private verification operations to public trust surfaces in order. Each page shows a different layer of the GAFAIG system.

Step 1
Private reviewer environment

Open the controlled reviewer layer and show that verification operations are separated from the public trust surface.

Step 2
Snowflake-backed verification workflow

Move into the application workflow to show Snowflake-backed operational records, status management, and structured verification activity.

Step 3
Public certification registry

Open the registry to show how certification outcomes are surfaced publicly without revealing internal evidence or reviewer materials.

Step 4
Global explorer and map

Finish in the explorer to show organizations, systems, countries, and map-based governance visibility across the GAFAIG network.

WALKTHROUGH NARRATIVE

A 60-second product story

0:00–0:15
What GAFAIG is

GAFAIG provides governance infrastructure for AI systems by combining a private verification layer with a public registry and explorer layer.

0:15–0:30
Private reviewer environment

The reviewer layer is controlled and operational. It exists to support verification, not public marketing or public disclosure.

0:30–0:45
Snowflake-backed operations

Snowflake acts as the system of record for application intake, verification workflow, and structured governance outcomes.

0:45–1:00
Public trust surface

The registry and explorer communicate certification outcomes, disclosed systems, and country-level visibility without exposing internal reviewer evidence.

PLATFORM PROOF POINTS

What this walkthrough demonstrates

Private reviewer layer
  • Admin access is controlled and separate from the public site.
  • Reviewer pages represent operational workflow rather than public-facing registry surfaces.
  • Private verification activity is not directly exposed through public certification pages.
Snowflake-backed operations
  • Snowflake is the system of record for application and verification data.
  • Reviewer workflow is tied to structured operational records.
  • Deterministic review logic can be surfaced as infrastructure rather than screenshots or static claims.
Public registry layer
  • Certification outcomes can be disclosed without exposing internal evidence.
  • Registry records function as public trust signals.
  • Organizations and AI systems can be browsed through structured public disclosures.
Explorer layer
  • Countries, organizations, systems, and map views show global trust coverage.
  • The explorer turns registry records into a legible public network.
  • Country drill-down and map surfaces communicate structure and scale quickly.
Release: devGovernance engine powered by Snowflake Cortex