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Operationalizing PM insights through working agents. Prompt libraries and tools for identifying governance risks before scaling programs, analytics, or AI systems.

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Innovation in Action 🎯

From frameworks to working agents: Operationalizing cross-industry PM insights through agentic workflows.

Anthropic 2026 State of AI Agents Report: 57% enterprises deploy multi-step agents; 80% ROI today.

This repository demonstrates Agentic LiteracyCognitive/Operational/Ethical Fluency for directing autonomous digital workers across augment, automate, agent phases using 4D Framework (Discover, Design, Deploy, Detect).

Identifies governance and execution risks before teams scale analytics or AI systems.
Use the Prompts → | Agent Overview → | Case Study | See Example

Status: Prompt Library Available (5 prompts + sample assessment) | Full Agent Q1 2026

🎯 Featured: 9-Step Career Framework

"9 Steps: Traditional PM → AI-Fluent Leader" LinkedIn carousel (Dec 2025) — your Agentic Literacy pathway.[Carousel Here]

Why Agentic Workflows?

Traditional PM: document → meeting → decision. Agentic: prompt → validate → deploy → monitor.
81% plan complex agents 2026 (multi-step/cross-functional).

Competitive Advantage: Domain-Specific Judgment at Scale

Cognitive Fluency: Understanding AI "thinking"/failures → eliminates technical debt from bad outputs. Cross-industry PM (aerospace → healthcare → nonprofits) scales judgment via production agents.

📊 Strategic Foundation: AI WINS Dashboard

Workflow → Intelligence → NIST → Scale

2026 Fluency Pillars:

Pillar What it Means Workflow Impact
Cognitive How AI "thinks"/where it fails Reduces AI technical debt
Operational Agent "swarms"/chaining 10% → 10x gains
Ethical Bias/privacy/dark patterns EU AI Act/enterprise compliance

🤖 Agent-First vs API-First: When to Choose

Use Agent-First When Use API-First When
Dynamic judgment needed Static data processing
Cross-system orchestration Single-tool optimization
Rapid iteration required Production stability
PM risk assessment Transactional volume

47% enterprises use hybrid (pre-built + custom).[web:21]

🛠️ Active Development

PM Risk Assessor /agents/pm-risk-assessor (Dec 2025)

Live Now: 5 production prompts + STEM museum case study. Identifies governance/execution gaps pre-scaling.
90% enterprises use coding agents — yours for PM governance.

PM Risk Assessor: LLM Prompt Benchmarking (Live Demo)

PM Risk Assessor Demo

  • Testing risk prompts on Perplexity, Gemini, Copilot, Claude, ChatGPT
  • Next: Agentic workflows + dashboards for enterprise PMs.
  • Governance: Responsible AI Usage (fiduciary duty across tools)

Suggested Artifacts 🛠️

Enhance PM Risk Assessor in your workflows:

  • JIRA: Import prompts as Kanban issues Artifact Example
  • Confluence: Embed outputs + NIST mappings Artifact Example
  • Power BI: Risk heatmap from CSV exports
  • AWINS Dashboard: Tool from Masterclass AI Strategy at Work Training Artifact Example
  • GitHub Issues: Log gaps/customizations

Fork & contribute via Issues.

📈 Progress Log: Dec 2025–Jan 2026 (Q1 Agent Deployment Prep)

AI Fluency Foundation → Agentic Literacy + Production Ops:

  • Anthropic AI Fluency Course: Cognitive fluency (prompt engineering for safe agents)
  • Anthropic How Enterprises are Building AI agents in 2026 Report: The 2026 State of AI Agents Report
  • Microsoft Learn AI Fluency Track: Operational chaining (Azure deployment testing)
  • AI Strategy at Work Masterclass: Business value frameworks
  • Understanding and Implementing the NIST AI Risk Management Framework(RMF) (LinkedIn): Govern/Measure functions operationalized
  • Advanced AI Governance: Operationalizing AI Controls and Continuous Monitoring (LinkedIn): Continuous monitoring/controls
  • Familiarization with ISO 27001 and ISO 42001: Regulatory Frameworks for AI Governance and Information Security Controls
  • AI Coding Agents (GitHub Copilot/Cursor) (LinkedIn): Production workflows
  • AWS Machine Learning Basics + AI Cloud Essentials: Model economics (token burn, cache/latency optimization, capacity forecasting, quota management)
  • "The Coming Wave" (book) by Mustafa Suleyman: Deployment testing to contain risks
  • LinkedIn Carousels: "9 Steps Tranditional PM to → AI Fluent Leader" + "5 Ways to Communicate for Business Value" (2x engagement)

Solves enterprise blockers: Integration(46%)/Data(42%) + cost/capacity controls.

Report Quote: "In 2026, you aren't paid for what you do; you are paid for the quality of intelligence you direct."

🔮 Planned Agents (2026)

Q1 2026: Deploy 1 Production Agent + Evaluate (matches 80% ROI reality)

  • Change Readiness Diagnostic /agents/change-readiness (Q1 Priority: Org transformation focus, live testing)
  • 🔄 Stakeholder Alignment Tool /agents/stakeholder-align (Q2+: Post-Q1 evaluation)

Realistic execution: 1 agent Q1 → NIST Measure → iterate/scale.

NIST AI RMF–Aligned ⚖️

Understanding and Implementing NIST AI RMF (LinkedIn Learning) → Core functions structure all agents:

Govern → Map → Measure → Manage

Ethical Fluency core for 2026 compliance (EU AI Act).

📚 Foundation: Real Execution Experience

Fortune 500/100Nonprofit Education and Higher Ed InitiativesIndependent AI-PM Consultant.
Master's Industrial Engineering + cross-industry pattern recognition = agentic workflows that ship across GRC spectrums.

🔗 Related Work

🔍 Topics

ai-agents pm-risk nist-rmf ai-governance deployment-testing agentic-literacy cognitive-fluency operational-fluency ethical-fluency

📄 License

CC BY 4.0
"Based on work by Alicia M. Morgan – github.com/AliciaMMorgan"

creativecommons.org/licenses/by/4.0


For full license details, visit [creativecommons.org/licenses/by/4.0](https://creativecommons.org/licenses/by/4.0/).