AI Strategy
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
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11 Product Management Shifts Redefining 2026: Actionable Signals from Top Leaders
2026 will reward product teams that turn signals into action. In this first-person analysis, I highlight eleven shifts—from outcomes-first OKRs and continuous discovery to agentic AI…
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The Modern Playbook for AI Agents: Build One‑Person Departments and Scale with Amplitude
AI agents deliver outsized value when they’re treated as productized workflows tied to clear outcomes. In this guide, I share how to consolidate processes, create “one-person…
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Turn Every Support Ticket into Product Truth: My Playbook for Data-Driven CX Wins
Support tickets are the fastest path to product truth when you turn frontline conversations into structured, reliable data. I connect support tools to a unified analytics…
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How We Built an AI Career Co‑pilot that Turns Knowing into Doing for Disadvantaged Students
Disadvantaged students don’t just need answers—they need an orchestrated path from insight to action. I break down how Zero Gravity built an AI career co‑pilot that…
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PMs and Developers Need Different AI Metrics—Here’s How That Builds Faster, Better Products
PMs and developers measure different layers of AI systems—and that’s a feature, not a bug. Developers focus on eval-driven development, latency, and reliability, while PMs focus…
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A Practical Framework for AI-Era Build-versus-Buy Decisions
A practical framework for separating strategic AI IP from commodity tooling, comparing true ownership cost, and preserving a safe exit as scale changes.
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AI Customer Service Transformation: An Operating Playbook
A practical playbook for choosing support work to automate, redesigning human roles and handoffs, governing quality, and proving durable business value.
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How to Build AI-Enabled Cybersecurity Operations Safely
A practical 90-day model for using AI in threat detection and incident response with clear authority limits, metrics, and governance.
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How to Design, Launch, and Govern an AI Agent Product
A practical playbook for scoping agent work, setting safe autonomy, measuring trusted outcomes, and earning adoption without losing accountability.
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AI Context Engineering: A Practical System for Product Teams
Learn to build small, traceable context packs that help product teams use AI for discovery, prioritization, and execution with less rework.
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AI Transformation Is an Operating Model, Not a Feature Roadmap
A practical operating model for turning scattered AI pilots into measurable outcomes, safer releases, and a faster organizational learning loop.
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How Product Leaders Turn AI Strategy Into an Operating System
A practical operating model for choosing AI bets, defining production readiness, assigning ownership, measuring adoption, and deciding when to scale.
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Governed Agent Analytics: From Support Signals to Adoption
A practical model for linking support performance to product adoption while enforcing clear data, access, experiment, and scale controls.
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Why I’m All-In on INDUSTRY 2025: 5 Powerful Reasons For Product Leaders at The Product Conference
INDUSTRY 2025 is my must-attend event to sharpen product strategy, deepen AI fluency, and learn directly from operators who ship. I’m prioritizing outcome-driven roadmapping, continuous discovery,…
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How to Govern AI Agents With Product Analytics That Drives Action
A practical operating model for instrumenting AI agents, enforcing safe authority, setting release gates, and proving business outcomes.
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My Proven Experimentation Playbook for AI PMs: Faster Learning, Safer Launches, Bigger Wins
Experimentation is not guesswork—it’s a disciplined system. In this playbook, I show how to pair A/B testing with eval-driven development to ship safer AI features and…
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The New AI Playbook for Product Portfolio Optimization: Slash Complexity, Boost ROI
Product portfolio optimization isn’t a once-a-year exercise—it’s a living system. I use AI to turn noisy signals into clear decisions, aligning initiatives to outcomes vs output…
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10 AI Business Models You Need Now: Proven Playbooks Turning Algorithms into Revenue
AI is no longer a feature—it’s a business model. In this guide, I break down ten proven models—API-first services, vertical copilots, agentic automation, copilot upsells, insights-as-a-service,…
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Monetizing AI with Confidence: Proven Models, Smart Pricing, and ROI You Can Defend
Turning AI features into sustainable revenue requires more than a great demo; it demands crisp packaging, pricing discipline, and visible customer outcomes. I outline practical models—add-ons,…
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Trustworthy AI Product Engineering: From Demo to Daily Use
A practical operating system for making AI outputs traceable, uncertainty actionable, failures bounded, and quality measurable in customer workflows.
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Browse topics
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
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