Living Governance
Intent · Policies · Authority · Readiness
D-POAF Platform · Private Beta
Proof-first engineering for the full human + AI lifecycle
A new platform to design, build, execute, deploy, and evolve systems with Living Governance, structured human + AI collaboration, and a verifiable chain of evidence, from intent to outcomes.
D-POAF Platform is currently in private beta and actively in development. Join the waitlist to get early access when your cohort opens.
Intent Governance policy validated
ODP Execution path generated
AI Task Artifact + evidence bundle proposed
Review Authority boundary requires approval
Proof Trace complete · anchored ✓
Decision Matrix
Multi-factor prioritization engine
Evidence Graph
Linked artifacts, decisions, outcomes
Operational Proofs
Audit-ready execution history
Illustrative preview, proof-first control plane for human + AI engineering.
Why D-POAF Platform?
A new engineering capability stack for AI-enabled systems
D-POAF Platform combines embedded governance, structured human/AI collaboration, planning intelligence, proof-backed execution, and cryptographically verifiable traceability across the engineering lifecycle.
One lifecycle system
Intent, planning, execution, proof, outcomes, and adaptation connected in one operational flow.
Embedded governance
Living Governance, authority boundaries, and readiness logic built into the workflow, not bolted on.
Planning intelligence
Decision Matrix + ODP to prioritize, sequence, and accelerate value delivery with constrained effort.
Verification built-in
Traceability, auditability, proofs, and cryptographic integrity by design, not as afterthought.
What's different
Built for proof-first engineering
D-POAF Platform goes beyond project tracking and code repositories, it's an operational lifecycle system with governance, planning, proof, and cryptographic integrity at the core.
Core Differentiator
Living Governance + proof-first approach
Governance is embedded before execution as authority boundaries, guardrails, and readiness logic. Every wave carries verifiable proof chains from intent to outcomes, not reconstructed after the fact.
Planning
Decision Matrix + ODP
Multidimensional prioritization with Optimal Development Path generation for dynamic roadmaps.
AI Integration
Structured human + AI collaboration
Make AI collaboration governable with explicit authority, escalation, and accountability mechanisms.
Traceability
Connected lifecycle evidence
End-to-end linkage across decisions, directives, artifacts, proofs, and outcomes.
Verification
Cryptographic integrity
Hash chaining, verifiable proof structures, and WaveRegister for verification-ready engineering flows.
Outcomes & Gains
What teams gain with D-POAF Platform
Improve engineering control, decision quality, execution confidence, and organizational trust across the full lifecycle.
Execution
Faster path to value
Prioritize and sequence work with Decision Matrix + ODP to surface quick wins and reduce wasted effort.
Control
Governance without slowing teams
Embed Living Governance, readiness logic, and decision boundaries directly in workflows, not outside execution.
Trust
Proof-backed delivery
Connect artifacts, proofs, and outcomes so teams can demonstrate delivery, value, and reliability with evidence.
Auditability
Clear audit trail
Reduce reconstruction effort with a connected chain across decisions, directives, artifacts, proofs, and outcomes.
Collaboration
Structured human + AI engineering
Make human/AI collaboration governable with explicit authority, escalation, and accountability mechanisms.
Learning
Continuous improvement
Feed acceptance, outcomes, and learnings back into governance and future waves for better repeatability.
Platform Capabilities
Designed to cover the engineering lifecycle
An operational system for lifecycle orchestration, planning, execution, governance, and verification, with AI-enabled workflows and connected engineering environments.
Living Governance embedded in the workflow
Intent, guardrails, authority, self-regulation, and readiness logic directly in the platform.
Governance inheritance and lifecycle updates across waves.
Workhub + Wave lifecycle management
Workhub spaces connected to wave portfolios to structure engineering work over time.
Lifecycle support for Instruct & Scope, Shape & Align, Execute & Evolve, and Learning & Adaptation.
Decision Matrix + ODP for dynamic roadmaps
Multidimensional scoring and prioritization across value, effort/risk, and portfolio considerations.
Optimized Development Path (ODP) generation to sequence work and surface quick wins.
Connected execution & deployment (Beta)
Platform connected by default to engineering environments to support execution, delivery, and deployment workflows.
AI-enabled execution support and configurable LLM connectivity.
Traceability, auditability & measurable outcomes
Evidence linkage across decisions, directives, artifacts, proofs, and outcomes.
Proof-backed dimensions for delivery, value, and reliability with verification-ready audit trails.
WaveChain + WaveRegister foundations
Cryptographic hashing, commit chains, and structured proof mechanisms to reinforce integrity and verification flows.
WaveRegister as a dedicated verification layer for anchored lifecycle evidence across engineering work.
How it works
A proof-first lifecycle flow for human + AI engineering
D-POAF Platform structures the engineering lifecycle from intent to outcomes with governance, planning intelligence, execution, and verification embedded throughout.
Frame intent and readiness
Establish value hypotheses, criteria, guardrails, authority, and governance readiness before execution.
Prioritize and sequence with planning intelligence
Use multidimensional decision logic, matrix views, and ODP generation to build dynamic execution paths.
Execute with connected environments
Run delivery workflows with AI-enabled assistance and connected engineering environments for execution and deployment.
Verify outcomes and adapt
Link artifacts, proofs, and outcomes to support traceability, auditability, acceptance, and lifecycle learning.
Built for high-trust engineering
Reproducible. Auditable. Verifiable.
D-POAF Platform is built for teams that need confidence in how systems are engineered, validated, deployed, and evolved.
Reproducible by design
Auditable by default
Traceable end to end
Integrity-backed verification
Governed human + AI collaboration
Measurable outcomes across Delivery / Value / Reliability
Beta
Start with a real engineering context
Join the waitlist to test D-POAF Platform and help shape the beta through real usage.
Who it's for
Engineering, platform, security, product, and governance teams
Especially teams working on AI-enabled systems that need stronger traceability, auditable decision-making, and proof-backed execution.
What to expect
Beta workflows, evolving experience, and direct feedback loop
The platform will keep evolving during beta. Your usage and feedback help refine the product and workflow design.
Join the Waitlist
Be among the first teams testing D-POAF Platform
Tell us who you are, what you want to test, and whether you'd like to join as a design partner.
Private beta for high-intent engineering teams
Early participants get preview access, onboarding guidance, and a direct feedback channel to shape the platform roadmap.
D-POAF Platform is currently in private beta and actively in development. Join the waitlist to get early access when your cohort opens.
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Resources
Learn more about the D-POAF ecosystem
Explore the framework, documentation, and ecosystem channels while the platform beta evolves.
Framework
D-POAF.org
Canonical framework website and ecosystem entry point.
MapFramework Map
High-level structure of the D-POAF framework and lifecycle logic.
Docs / OSSGitHub Repository
Specifications, documents, and implementation references.
CommunityDocumentation & Support
Documentation, examples, and ecosystem communication channels.