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simaba/README.md

Hi, I'm Sima Bagheri

AI governance | release readiness | enterprise AI operating models | multi-agent systems | process excellence

I build open-source repositories around trustworthy, auditable AI for regulated and high-accountability environments.

LinkedIn Medium NIST AI RMF

Start here

If you want to know where to begin, use this guide:

Goal Start with Maturity
Understand the full operating model for enterprise AI governance-playbook Practitioner playbook
Validate AI release readiness with a working CLI release-checklist Alpha working tool
Understand release-stage governance release-governance Framework
Apply NIST AI RMF in practice nist-rmf-guide Practitioner guide
Start a new regulated-AI repo from a template regulated-ai Template repo
Explore multi-agent governance and control patterns multi-agent-governance Framework
See runnable multi-agent behavior in code agent-simulator Runnable demo
Use AI for structured process-improvement work lean-ai-ops Working app
Browse curated governance resources ai-prism Resource hub

Coming from Medium?

My Medium articles describe the operating problems. These repositories translate those ideas into reusable artifacts, templates, and tools.

Medium theme Use this repository Practical next step
Why AI governance fails in safety-critical or regulated systems governance-playbook Adapt the operating-model template
AI release readiness as the missing operational layer release-checklist Run the sample YAML validator
Release gates as accountability and readiness controls release-governance Compare the lifecycle gates with the CLI checks
Human-in-the-loop is not enough without ownership and redress accountability-patterns Fill the accountability matrix
AI roadmaps should be governed by risk, value, and execution reality governance-playbook Use the intake and prioritization artifacts
EU AI Act and regulated-AI readiness nist-rmf-guide, regulated-ai, ai-prism Start with a gap assessment and template kit
Multi-agent systems need control logic, evaluation, and escalation paths multi-agent-governance, agent-eval, agent-simulator Review the evaluation framework, then run the simulator

Portfolio map by artifact type

Working tools and apps

Repository Type What it does
release-checklist CLI Validates YAML-based release-readiness configurations
agent-simulator Runnable demo Simulates bounded multi-agent workflows
lean-ai-ops Streamlit app Generates DMAIC-style improvement packages with analytics

Frameworks and practitioner guides

Repository Type What it does
governance-playbook Playbook End-to-end AI operating model
release-governance Framework Release lifecycle governance and gates
nist-rmf-guide Guide Practitioner implementation guide for NIST AI RMF
accountability-patterns Pattern catalog Accountability, oversight, and redress patterns
multi-agent-governance Framework Trust, oversight, and accountability for multi-agent systems
agent-orchestration Pattern catalog Routing, delegation, validation, and failure-handling patterns
agent-eval Evaluation framework Agent evaluation dimensions, scenarios, and reporting structure

Templates and reference hubs

Repository Type What it does
regulated-ai Template repo Governance docs, release stubs, and starter workflows
ai-prism Reference hub Curated governance frameworks, tools, standards, and papers

How the repos fit together

flowchart TD
    GOV["governance-playbook"]
    NIST["nist-rmf-guide"]
    RELGOV["release-governance"]
    RELCHK["release-checklist"]
    STARTER["regulated-ai"]
    ACC["accountability-patterns"]
    MAGOV["multi-agent-governance"]
    ORCH["agent-orchestration"]
    EVAL["agent-eval"]
    SIM["agent-simulator"]
    LSS["lean-ai-ops"]
    PRISM["ai-prism"]

    GOV --> RELGOV
    GOV --> NIST
    GOV --> ACC
    RELGOV --> RELCHK
    NIST --> STARTER
    ACC --> MAGOV
    MAGOV --> ORCH
    MAGOV --> EVAL
    EVAL --> SIM
    SIM --> LSS
    PRISM -.-> GOV
    PRISM -.-> NIST
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Design principles across the portfolio

  • clear artifact types so tools, frameworks, templates, and references are not confused
  • truthful maturity labels so prototypes are not presented as finished products
  • practical usefulness over theory for its own sake
  • traceability and accountability wherever decisions, gates, or evaluations are involved
  • evidence discipline so claims, assumptions, and gaps are separated clearly

Scope and disclaimer

These repositories are practitioner resources shared in a personal capacity. They are not legal advice, compliance certification, regulatory approval, safety certification, or official guidance from NIST, the EU, ISO, or any employer.

References to NIST AI RMF, EU AI Act, ISO/IEC 42001, and related standards are self-assessed, practitioner mappings. Always verify against official sources before using them for compliance, safety, or release decisions.

Featured command-line quick start

git clone https://github.com/simaba/release-checklist.git
cd release-checklist
python -m pip install -e .
release-checklist init --industry healthcare
release-checklist validate configs/medium-risk-example.yaml
release-checklist report configs/medium-risk-example.yaml --format markdown

Most repositories are MIT licensed. ai-prism is released under CC0.

Pinned Loading

  1. release-governance release-governance Public

    A practical framework for AI release readiness, risk-based gating, accountability design, and operational control in regulated or safety-critical systems.

    Python 1

  2. accountability-patterns accountability-patterns Public

    A practical pattern library for designing human accountability, escalation logic, ownership models, and intervention paths into AI-enabled systems.

    Mermaid

  3. governance-playbook governance-playbook Public

    An end-to-end playbook for enterprise AI governance covering intake, prioritization, release, monitoring, and continuous improvement.

    2

  4. release-checklist release-checklist Public

    A practical, risk-tiered checklist framework for AI release readiness, with reusable configs and a lightweight evaluation CLI.

    Python

  5. ai-prism ai-prism Public

    A curated list of AI governance frameworks, tools, regulations, and resources for responsible AI deployment

    1

  6. nist-rmf-guide nist-rmf-guide Public

    A practitioner's guide to implementing the NIST AI Risk Management Framework — with code examples, checklists, and templates