D-POAF® (Decentralized Proof-Oriented AI Framework) is a proof-oriented, decentralized reference framework for AI-enabled software engineering. It defines a structured lifecycle model and foundational principles for designing, building, operating, and evolving software in human-AI engineering environments.
D-POAF grounds legitimacy, governance, and accountability in verifiable proof, sustained through end-to-end traceability of intent, decisions, actions, artifacts, proofs, and outcomes.
AI-enabled engineering introduces decisions and changes that cannot be justified by hierarchy, central control, or performance claims alone. In hybrid human-AI environments, trust, value, and responsibility require:
Traditional Approaches → D-POAF
─────────────────────────────────────────
Trust-based processes → Verifiable proof
Subjective validation → Evidence-driven decisions
Centralized authority → Decentralized governance
Static frameworks → Living, adaptive systems
Manual ceremonies → Proof-first engineering
D-POAF is built on five foundational principles:
A decision becomes legitimate when justified by explicit, verifiable proof. Hierarchy, automation, or performance alone does not establish legitimacy.
Decision authority is distributed across humans, AI, and systems, supported by explicit boundaries and escalation paths. Evidence sustains reviewability and prevents opaque concentration of control.
Governance is embedded into workflows and evolves through evidence and outcomes rather than static controls. Rules, constraints, exceptions, and decision rights are maintained as an auditable, lifecycle-wide operating system.
Intent, decisions, actions, artifacts, proofs, and outcomes remain linkable to context and contribution (human or AI). Traceability sustains reviewability, reproducibility, and accountability across system evolution.
Even with AI autonomy, humans retain explicit responsibility for decision boundaries, escalation rules, and outcome acceptance. Autonomy never abolishes accountability.
D-POAF structures system evolution as a continuous proof-grounded cycle:
Intent → Decision → Execution → Evidence → Learning → Adaptation
D-POAF organizes delivery into 4 macro-phases spanning 7 operational sub-phases:
| # | Sub-Phase | Description |
|---|---|---|
| 1 | Intent & Scope | Define objectives, roles, and proof expectations |
| 2 | Contextualize & Extract | RAGer structures knowledge and prepares context modules |
| 3 | Design Prompt Actions | Wave Surfer designs and logs Prompt Actions in the PromptRegister |
| 4 | Build & Generate | AI invoked with structured prompts to produce artifacts |
| 5 | Coordinate & Validate | Wave Captain validates outputs against proof criteria |
| 6 | Deliver & Monitor | Peacekeepers ensure reliability and compliance post-delivery |
| 7 | Feedback & Evolve | Lessons captured, prompts archived, governance updated |
A Wave is the unit of verifiable progress. Each Wave traverses the sub-phases to produce and refresh proofs (PoD/PoV/PoR). D-POAF defines 5 Wave Profiles adapted to different delivery contexts:
| Profile | Primary Use |
|---|---|
| Deliver | Feature or product delivery |
| Decide | Architecture or technology decisions |
| Control | Governance, audit, compliance |
| Delegate | AI autonomy scoping |
| Operate | Monitoring, maintenance, reliability |
D-POAF defines three proof families that sustain trust and accountability:
Evidence that what was committed was actually delivered. Validated by code reviews, test reports, demos, and signed acceptance.
Evidence that the delivery produced measurable impact. Validated by KPIs, analytics dashboards, A/B tests, and stakeholder sign-off.
Evidence that the system is safe, compliant, and stable over time. Validated by security scans, compliance certificates, and monitoring logs.
D-POAF defines 6 horizontal, collaborative roles without rigid hierarchy:
| Role | Full Title | Responsibility |
|---|---|---|
| Wave Captain | Coordinator of Delivery Cycles | Facilitates Waves, validates deliverables, holds accountability |
| RAGer | Data Strategist & Module Extractor | Structures knowledge, prepares context modules for AI prompting |
| Wave Surfer | Prompt Architect | Designs, logs, and rates all Prompt Actions in the PromptRegister |
| AI | Automated Generator & Optimizer | Executes Prompt Actions, produces artifacts under human oversight |
| Peacekeepers | Reliability & Compliance Monitors | Ensures security, integrity, and regulatory compliance |
| Community Members | Collective Decision Participants | Participates in reviews, votes on governance amendments |
Living Governance defines and continuously updates the system’s operating envelope through evidence:
Governance is not an external overlay — it’s a continuous, adaptive, lifecycle-wide operating layer.
The D-POAF® Starter Pack v1.0 gives teams everything needed to run their first Wave on day one.
| Document | Description |
|---|---|
| 📘 Practical Guide | 15-page step-by-step implementation guide |
| 📋 Wave Scope Template | Define objectives, roles, and proof criteria before a Wave |
| ✅ Proof Record Template | Wave close-out document with PoD, PoV, PoR sections |
| ⚖️ Dynamic Laws Starter | 15 governance rules ready to adopt and adapt |
| 📝 PromptRegister | Track, rate, and reuse every AI prompt in a Wave |
The full kit is also published on Zenodo with a permanent DOI: 10.5281/zenodo.19868884
Start with the D-POAF® Canonical Specification to understand foundational concepts and principles.
Clone this repo or download the /kit folder. Open the Practical Guide first.
You don’t need to implement everything at once:
D-POAF applies wherever AI influences or contributes to the software engineering lifecycle:
| Document | DOI | Status |
|---|---|---|
| Canonical Specification v1.0 | 10.5281/zenodo.18174958 | Frozen Canonical |
| Terminology Reference v1.0 | 10.5281/zenodo.18175200 | Active |
| Practical Guide v1.0 | 10.5281/zenodo.17927536 | Active |
| Implementation Kit v1.0 | 10.5281/zenodo.19868884 | Active |
Framework Book
Ihsine, A., & Ihsine, S. (2025).
D-POAF Framework: Decentralized Proof-Oriented AI Framework.
Inovionix. https://www.d-poaf.org
ISBN 979-10-415-8736-0
@book{Ihsine2025DPOAF,
title = {D-POAF Framework: Decentralized Proof-Oriented AI Framework},
author = {Ihsine, Azzeddine and Ihsine, Sara},
year = {2025},
publisher = {Inovionix},
isbn = {979-10-415-8736-0},
url = {https://www.d-poaf.org},
note = {Canonical Specification v1.0. doi:10.5281/zenodo.18174958}
}
A. Ihsine and S. Ihsine, "D-POAF Framework: Decentralized Proof-Oriented AI Framework,"
Inovionix, 2025. ISBN: 979-10-415-8736-0. doi:10.5281/zenodo.18174958.
[Online]. Available: https://www.d-poaf.org
| Aspect | Traditional Agile | D-POAF |
|---|---|---|
| Legitimacy | Trust & authority | Verifiable proof |
| Decisions | Centralized (PO, SM) | Decentralized & evidence-driven |
| Governance | Static rules | Living, adaptive system |
| Validation | Subjective acceptance | Proof-based (PoD/PoV/PoR) |
| Traceability | Limited to deliverables | End-to-end (intent → outcomes) |
| AI Integration | Afterthought | Native, first-class |
| Prompt Governance | None | PromptRegister mandatory |
| Accountability | Hierarchical | Distributed, humans always accountable |
No. D-POAF is a complementary framework that works alongside existing methodologies. It adds proof-oriented thinking, decentralized governance, and AI-native practices that enhance traditional approaches.
Yes. While D-POAF is designed for AI-enabled engineering, its principles of proof, evidence, and governance apply to any software project where trust and accountability matter.
D-POAF introduces new concepts (Waves, Proofs, Living Governance), but teams familiar with Agile will find many patterns recognizable. Start with the Practical Guide and the Starter Kit — one Wave is enough to understand the framework in practice.
No. D-POAF applies to any team size. Whether you’re working solo, in a small team, or a large enterprise, you can adopt proof-oriented principles incrementally and scale as you grow.
D-POAF is a community-driven framework. We welcome contributions in several forms:
All contributions follow D-POAF’s own governance principles: evidence-driven, community-reviewed, and transparently documented.
All content in this repository is published under Creative Commons Attribution 4.0 International (CC BY 4.0).
What you can do:
✅ Use D-POAF in your projects (personal or commercial) ✅ Modify and adapt to your needs ✅ Distribute and share ✅ Teach and train others ✅ Publish derivative works (with attribution)
D-POAF® is a registered trademark of Inovionix.
Copyright © 2025–2026 Inovionix — Azzeddine IHSINE & Sara IHSINE
D-POAF was created by:
With nearly a decade of experience each in software engineering, AI, and organizational design, we built D-POAF to address the fundamental challenges of AI-enabled software delivery.
“Keep it proof-first.” In D-POAF, trust is grounded in verifiable proof, not authority.
D-POAF represents a fundamental shift in how we think about software delivery: