Part of Tamkeen Sovereign Platforms

Global AI Identity, Governance & Compliance Platform

A verifiable identity for artificial intelligence.

Vision and scope

GAIGCP is a platform concept for documenting AI systems, models and agents, including versions, operating context and the provenance of outputs.

Its development focuses on identity records, governance and traceability within available integrations and authorized scope. It does not itself confer official regulatory approval.

Development approach

Understand the need

Define the intended users, priorities and scope before selecting solutions.

Connect expertise

Identify suitable capabilities and partners, with clear responsibilities and requirements.

Review and improve

Evaluate readiness, test within the agreed scope and use findings to guide the next stage.

Working pathway

Identify needs and define the project scope.
Study technical and operational requirements.
Establish roles and appropriate partnerships.
Review readiness before implementation or external integration.
Monitor outcomes and refine the approach.

A development concept. Implementation and external connections depend on readiness, applicable requirements and authorized agreements. Activity images are visual concepts, not evidence of completed projects.

Platform guide

Documented identity and clearer AI context

The following describes the intended scope and proposed experience. Availability depends on development and approved integrations.

Purpose and value

GAIGCP aims to associate a system, model or agent with an identifier, version, owner, developer, operator and use context, organizing related governance information and evidence.

Who it is for

System developers, operators, governance and review teams and integration partners, each within their remit and permissions.

Proposed user journey

Identify the system and version
Record parties and scope
Organize identity and governance information
Link evidence and output context
Update records following changes and reviews

Illustrative use case

Illustrative example: when a model is updated, the new version remains linked to its origin and available tests and notes are recorded so reviewers can distinguish its version and context.

Connections within the organization

It may support agent identification in orchestration and document systems used across the organization. Institutional or regulatory connections require separate authorization and integration.

Expected outputs

An identity and version profile, digital identity card, change and evidence records and permission-based governance information. Registration does not confer official regulatory approval.