Category: AI Strategy & Governance
Tracking AI Choices: Changelogs and Decision Logs Explained
Changelogs track technical changes; decision logs capture strategic AI choices. Learn how these logs ensure transparency, compliance, and accountability in AI systems.
- Feb 5, 2026
- Collin Pace
- 2
- Permalink
Prompt Libraries for Generative AI: Governance, Versioning, and Best Practices
Prompt libraries boost AI productivity but need strong governance and versioning. Learn how to prevent bias, meet compliance, and track changes. Real examples from PromptHero and FlowGPT. Key strategies for 2026.
- Feb 4, 2026
- Collin Pace
- 3
- Permalink
Product Management with LLMs: How to Draft Roadmaps, PRDs, and Refine User Stories
LLMs are transforming product management by automating roadmap drafting, PRD creation, and user story refinement. Learn how to use AI tools effectively without losing human judgment, reduce requirement cycles by 40%, and avoid common pitfalls like hallucinations and poor governance.
- Feb 3, 2026
- Collin Pace
- 4
- Permalink
Procurement and Contracts with Generative AI: Vendor Assessments and Clause Libraries
Generative AI is transforming procurement by automating vendor assessments and contract clause management. Learn how AI reduces review time by 85%, uncovers hidden risks, and builds smart clause libraries-while still requiring human oversight.
- Jan 31, 2026
- Collin Pace
- 9
- Permalink
How to Negotiate Enterprise Contracts with Large Language Model Providers
Learn how to negotiate enterprise contracts with large language model providers to avoid hidden costs, legal risks, and poor performance. Key clauses on accuracy, data security, and exit strategies are critical.
- Jan 25, 2026
- Collin Pace
- 6
- Permalink
Build vs Buy for Generative AI Platforms: Decision Framework for CIOs
CIOs must choose between building or buying generative AI platforms based on cost, speed, risk, and use case. Learn the three strategies - buy, boost, build - and which one fits your organization.
- Nov 14, 2025
- Collin Pace
- 8
- Permalink
Model Lifecycle Management: Versioning, Deprecation, and Sunset Policies Explained
Learn how versioning, deprecation, and sunset policies keep AI models reliable, compliant, and safe. Real-world examples, industry standards, and actionable steps for managing AI lifecycles.
- Sep 24, 2025
- Collin Pace
- 0
- Permalink
KPIs and Dashboards for Monitoring Large Language Model Health
Learn the essential KPIs and dashboard practices for monitoring large language model health in production. Track hallucinations, latency, cost, and user impact to avoid costly failures and build trustworthy AI systems.
- Jul 29, 2025
- Collin Pace
- 8
- Permalink