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

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

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.

    1

  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