AI Strategy
- AI Strategy (429)
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- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
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AI at Home, Impact at Work: Experiments That Supercharged My Product Leadership
I reflect on a standout All Things Product conversation that reinforced how low-stakes AI experiments at home can dramatically improve how we build AI-powered products at…
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How to Build an Evaluation-Driven AI Innovation Strategy
Build an AI innovation system that links portfolio bets to customer outcomes, release gates, and clear evidence for killing, refining, or scaling them.
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How to Build AI Upskilling That Changes Product Team Behavior
A practical 90-day system for turning AI training into role-specific behavior, stronger product decisions, and measurable business outcomes.
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AI-Enabled Product Management: A Practical Operating Model
A practical operating model for using AI in discovery, planning, and execution while keeping evidence, judgment, and accountability in human hands.
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From Chaos to Consistency: How I Built a Scalable AI Content Design Agent with RAG
I built an AI content design agent that scales quality without sacrificing judgment by grounding it in a rigorous design system and a curated RAG knowledge…
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What I Learned from Trainline’s Agentic AI: Building a Trusted Travel Assistant at Scale
Agentic AI only works at scale when orchestration, tools, and guardrails are designed together. Trainline’s approach demonstrates how to pair scalable reasoning with deep domain context,…
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Why We’re Building Our Next AI R&D Hub in Berlin—and Hiring 100 to Power Fin’s Growth
We’re opening our next AI R&D hub in Berlin to accelerate Intercom and our AI Agent, Fin, and we plan to hire 100 people across engineering,…
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Context Is King: My Playbook to Prep Product Teams for High-Impact AI Collaboration
AI becomes a powerful teammate when we give it the right context. In this commentary, I share how I operationalize context—decision logs, success metrics, and machine-readable…
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Beyond Digital: How AI Transformation Builds Adaptive, Intelligent Organizations That Win
AI transformation isn’t a tool rollout; it’s an operating model shift toward adaptive, intelligent systems that learn from every interaction. The payoff comes from aligning AI…
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How to Operationalize AI: A Practical Adoption Playbook
A field-ready playbook for choosing AI workflows, securing their data, evaluating reliability, and expanding autonomy only when outcomes justify it.
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How to Build an AI-Powered SaaS Customer Lifecycle
A practical model for using AI across SaaS onboarding, support, retention, and expansion without fragmenting data, ownership, or trust.
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Enterprise AI Foundations: An Operating Model That Scales
A practical blueprint for data, governance, evaluation, and decision rights that turns scattered AI pilots into a scalable enterprise capability.
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How Product Leaders Can Prevent Recruitment Impersonation Fraud
A practical control system for verifying recruiters, limiting candidate data exposure, triaging scam reports, and protecting brand trust.
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How to Govern and Measure an Enterprise AI Agent Portfolio
A practical operating model to choose enterprise AI agents, set risk-adjusted autonomy, enforce controls, and prove value per successful outcome.
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AI Risk Governance: An Operating Model for Cyber Defense
A practical operating model for classifying AI workflows, matching autonomy to risk, instrumenting defenses, and scaling safely in 90 days.
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Evidence-Driven AI Product Delivery: A Practical Operating Model
A practical operating model for choosing AI bets, defining proof before build, evaluating releases, and scaling only when outcomes and guardrails hold.
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How to Prove AI Agent ROI Without Sacrificing Privacy
A practical framework for measuring AI agent value, total cost, and risk without turning product analytics into a privacy liability.
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AI-Personalized Activation: A Practical Path to Retention
A practical system for personalizing the path to first value, proving downstream cohort lift, and scaling AI activation without eroding user trust.
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Enterprise AI Workforce Readiness: A Practical Operating Model
A workflow-level operating model for role-specific AI training, human accountability, safer adoption, and measurable business outcomes.
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Inside Japan’s AI Marketing Shift: How 500 Teams Boost Efficiency, Results, and Careers
New research from Japan underscores how AI, anchored in disciplined analytics, is accelerating marketing efficiency, measurable results, and career growth. I break down why a unified…
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