Agile AI Credential Registry¶
Specification Status — CANONICAL
This document is part of the official Agile AI Specification and represents the canonical registry of professional credentials within the Agile AI ecosystem.
DOCUMENT TYPE: Registry
VERSION: 1.0
STATUS: CANONICAL
MAINTAINED BY: Agile AI University
1. Purpose¶
This registry defines the official credentials recognized within the Agile AI ecosystem.
Credential identifiers defined in this registry are used for:
- certificate issuance
- credential verification
- institutional recognition
- ecosystem governance
2. Core Capability Standard¶
Artificial Intelligence Professional Agilist (AIPA) represents the core professional capability standard within the Agile AI ecosystem.
It recognizes experienced professionals who demonstrate the ability to integrate adaptive execution, machine intelligence, and accountable human judgment in complex organizational environments.
Advanced credentials extend this capability into specialized domains such as:
- agentic AI systems
- organizational transformation
- AI product leadership
3. Credential Tracks¶
The Agile AI credential framework is organized across three professional tracks.
| Track | Focus |
|---|---|
| P — Professional | Applying Agile AI capability in organizational environments |
| M — Master | Designing and governing Agentic AI systems |
| L — Leadership | Strategic, organizational, and product leadership in AI-enabled environments |
4. Credential Registry¶
| Credential ID | Credential Name | Track | Status |
|---|---|---|---|
| AAI-CR-001 | Agile Outcome Practitioner (AOP) | Professional | Retired |
| AAI-CR-002 | Artificial Intelligence Professional Agilist (AIPA) | Professional | Active |
| AAI-CR-003 | Artificial Intelligence System Designer (AISD) | Professional | Recognized |
| AAI-CR-004 | Artificial Intelligence Delegator and Enabler (AIDE) | Professional | Recognized |
| AAI-CR-005 | Agentic Artificial Intelligence Agilist (AAIA) | Master | Recognized |
| AAI-CR-006 | Agentic Artificial Intelligence Master (AAIM) | Master | Recognized |
| AAI-CR-007 | Agile Artificial Intelligence Capability Coach (AAICC) | Master | Recognized |
| AAI-CR-008 | AI Strategic Leadership (AISL) | Leadership | Recognized |
| AAI-CR-009 | AI Organizational Leadership (AIOL) | Leadership | Recognized |
| AAI-CR-010 | AI Product Leadership (AIPL) | Leadership | Recognized |
5. Credential Identifier Format¶
Credentials within the Agile AI ecosystem follow a structured identifier format.
AAI-CR-XXX
| Component | Meaning |
|---|---|
| AAI | Agile AI ecosystem identifier |
| CR | Credential Registry |
| XXX | Sequential credential number |
Example¶
| Identifier | Meaning |
|---|---|
| AAI-CR-001 | First credential defined in the Agile AI Credential Registry |
| AAI-CR-002 | Second credential defined in the registry |
| AAI-CR-003 | Third credential defined in the registry |
Credential identifiers remain permanent once assigned.
Even when credentials are retired, their identifiers remain reserved to preserve institutional continuity and historical traceability.
6. Credential Descriptions¶
AAI-CR-001 — Agile Outcome Practitioner (AOP)¶
A legacy credential previously issued to recognize professionals applying Agile AI principles to achieve organizational outcomes.
As the Agile AI ecosystem evolved toward a broader professional capability framework, this credential was retired.
The Artificial Intelligence Professional Agilist (AIPA) credential now represents the core professional capability standard of the ecosystem.
The AOP identifier remains preserved within the registry for historical traceability and institutional continuity.
AAI-CR-002 — Artificial Intelligence Professional Agilist (AIPA)¶
A professional credential recognizing experienced professionals capable of integrating adaptive execution, machine intelligence, and accountable human judgment in complex organizational environments.
This credential represents the core professional capability standard of the Agile AI ecosystem.
AAI-CR-003 — Artificial Intelligence System Designer (AISD)¶
A credential recognizing professionals capable of designing AI-enabled systems and architectures that incorporate Agile AI principles within organizational environments.
AAI-CR-004 — Artificial Intelligence Delegator and Enabler (AIDE)¶
A credential recognizing professionals capable of enabling responsible delegation of decisions and workflows to AI systems within organizational environments.
AAI-CR-005 — Agentic Artificial Intelligence Agilist (AAIA)¶
A credential recognizing professionals capable of designing and implementing agent-based workflows and integrating agentic systems within Agile AI execution environments.
AAI-CR-006 — Agentic Artificial Intelligence Master (AAIM)¶
An advanced credential recognizing professionals capable of architecting and governing agentic AI systems and decision-delegation frameworks.
AAI-CR-007 — Agile Artificial Intelligence Capability Coach (AAICC)¶
A senior credential recognizing professionals who enable organizations to adopt agentic AI by mentoring teams, guiding leaders, and developing long-term AI capability.
AAI-CR-008 — AI Strategic Leadership (AISL)¶
A leadership credential recognizing professionals responsible for defining long-term AI strategy and institutional direction.
AAI-CR-009 — AI Organizational Leadership (AIOL)¶
A credential recognizing leaders responsible for enabling enterprise-wide AI adoption and organizational transformation.
AAI-CR-010 — AI Product Leadership (AIPL)¶
A credential recognizing leaders responsible for AI-enabled product strategy, platform ecosystems, and product innovation.
7. Credential Lifecycle Governance¶
Credentials within the Agile AI ecosystem follow a lifecycle governance model.
| Status | Meaning |
|---|---|
| Active | Credential currently issued by Agile AI University |
| Recognized | Credential formally defined within the Agile AI framework |
| Retired | Credential no longer issued but preserved for historical recognition |
This lifecycle ensures transparency, institutional continuity, and long-term ecosystem stability.
8. Governance Notes¶
- Credential IDs are permanent and must never be reused
- Credentials must never be deleted from the registry
- Retired credentials remain part of institutional history
- Registry must support traceability and cross-system referencing
- Any additions must follow the established identifier format
9. Participation Pathways¶
Credentials defined within the Agile AI ecosystem may be issued through:
- institutional recognition
- professional capability assessments
- invitation-based cohorts
- strategic partnerships
Professionals interested in participating in Agile AI credential pathways may engage with the Agile AI University ecosystem through its institutional platforms.