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AAIF Portfolio Recognition Roadmap

Purpose

This roadmap explains how the 16-repository enterprise product testbed can mature into credible AAIF/Linux Foundation-adjacent evidence.

It is not an AAIF proposal, not a Linux Foundation proposal, and not a claim of endorsement. It is a public operating plan for earning recognition through useful work, reviewable artifacts, and maintainer feedback.

Recognition Thesis

Recognition should come from repeated evidence that helps the ecosystem:

  1. Serious repositories expose clear agentic boundaries.
  2. Paid-provider defaults have OSS and self-hosted alternatives.
  3. Developers can fork, run, inspect, and improve the work.
  4. Upstream communities receive small, useful issues and PRs.
  5. Claims stay behind evidence until maintainers merge or adopt work.

The portfolio is useful because it tests the profile across different enterprise surfaces instead of one demo app.

Workgroup Alignment Map

AAIF-facing concern Portfolio evidence surface Primary repositories
Observability & Traceability audit events, trace boundaries, provenance, reviewable evidence SecureIDE Workbench, FlowGrid Orchestrator, SupportDesk Intelligence, Meeting Intelligence Hub
Identity & Trust RBAC, tenant context, session policy, approval authority, access review IdentityCore Platform, AccessGovernance Kit, TenantCommerce Control, SecureIDE Workbench
Security & Privacy secret safety, sandboxing, PII boundaries, data retention, provider replacement SecureIDE Workbench, SupportDesk Intelligence, LedgerOps Intelligence, KnowledgeStream Hub
Governance, Risk & Regulatory Alignment human approval, policy posture, evidence retention, release gates AccessGovernance Kit, LedgerOps Intelligence, WorkGrid Portfolio, SkillForge Learning
Workflows & Process Integration connector governance, retries, escalation, handoffs, replay boundaries FlowGrid Orchestrator, WorkGrid Portfolio, CollabBoard Command, Meeting Intelligence Hub
Accuracy & Reliability answer provenance, validation evidence, regression checks, fallback behavior SupportDesk Intelligence, SkillForge Learning, KnowledgeStream Hub, AppForge Studio
Agentic Commerce tenant storefront control, catalog governance, entitlement boundaries TenantCommerce Control, LedgerOps Intelligence, BrandOps Studio

Evidence Ladder

Stage Evidence required Current posture
Portfolio hygiene public repos, README onboarding, OSS alternatives, secret-safe setup, scoped roadmaps In progress across the 16-repo testbed
Profile evidence readiness JSON, boundary model, governance, security, validation notes All 16 portfolio repositories now publish repo-local boundary evidence
Upstream usefulness small AAIF/LF-adjacent PRs and issues that solve repository-local needs Active contribution ledger tracks open work
External review public discussion, focused review issue, maintainer review kit, review questions Published but still awaiting independent feedback
External adoption at least two non-Karuna maintainers try the profile or provide opt-in examples Trial protocol published; external trial evidence still missing
Recognition candidate merged upstream contributions, external reviewers, sponsor path, governance clarity Not ready yet

90-Day Operating Plan

Days 1-30: Make the evidence easy to inspect

  • Keep the contribution ledger current as AAIF and adjacent PRs receive review.
  • Keep dependency-license inventory and release checklist current.
  • Use the maintainer/reviewer growth policy when external reviewers engage.
  • Keep all 16 portfolio repositories at profile level 3 evidence quality.
  • Avoid new formal proposal language until external reviewers engage.

Days 31-60: Convert portfolio breadth into reviewable examples

  • Convert boundary evidence into lightweight test fixtures for the highest-risk workflow in each repository.
  • Add one focused adoption issue asking external maintainers what evidence is missing.
  • Publish one short case study per flagship repository, focused on boundaries and proof.
  • Ask for correction in AAIF/LF-adjacent forums using public links, not cold tagging.

Days 61-90: Seek external proof

  • Recruit two external reviewers or opt-in adopters.
  • Convert accepted upstream feedback into profile changes.
  • Add an explicit maintainer growth policy.
  • Decide whether the work should remain independent, become example guidance, or prepare for a future formal proposal.

Public Recognition Gates

Do not claim recognition until the relevant gate is public:

Claim Required public evidence
Upstream contributor PR merged and GitHub attributes the commit to @kmishra1204
AAIF-adjacent reviewer public maintainer comment, review, or issue response
External adoption external repository, maintainer, or issue explicitly opts in
Foundation fit AAIF/LF-adjacent maintainers say the shape is useful or worth routing
Formal proposal readiness external adoption, governance clarity, sponsor path, and user decision on legal/account implications

Current Public Signals

  • AAIF Observability PR #17: contributor onboarding guide.
  • AAIF Observability PR #18: liaison roster and cross-WG intake tracker.
  • AAIF Taxonomy & Landscape PR #23: term style guide.
  • AAIF Taxonomy & Landscape PR #24: AI usage guide.
  • Public readiness profile releases through v0.5.19.
  • Twelve month milestone plan published for public proposal-readiness review.
  • All 16 portfolio repositories now publish repo-local docs/AGENTIC_BOUNDARY_MODEL.md evidence.
  • Public contribution ledger with recognition gates and anti-claim rules.
  • AGENTS.md enterprise evidence checklist published as the first monthly ambassador-style educational artifact.

All listed AAIF PRs are work under review, not accepted contribution.

What Not To Do

  • Do not mass-tag maintainers.
  • Do not claim AAIF or Linux Foundation affiliation.
  • Do not submit a formal proposal before external review and adoption evidence exist.
  • Do not treat the 16-repo portfolio as production proof by itself.
  • Do not turn the readiness profile into marketing copy at the expense of runnable evidence.

Review Ask

The useful ask for reviewers is narrow:

Which evidence would make this profile useful enough for another agentic AI repository to try?

That question keeps the work grounded in ecosystem value instead of personal promotion.