privacy-by-design
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How to Govern AI Product Experiments Without Slowing Teams Down
A practical operating model for testing AI in stages, setting evidence gates, and turning legal, privacy, and safety concerns into product controls.
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How to Secure AI Assistant Access to Your Email Inbox
A practical permission model and rollout checklist for letting AI assistants search, draft, and send email without losing account, approval, or policy control.
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Should You Train AI on Your Company’s Work-Email Archive?
A practical framework for deciding whether an email archive should power retrieval, evaluation, or training without mistaking activity for truth.
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Why AI Assistant Memory Matters More as Models Open Up
A product strategy for owning assistant memory, preserving user trust, and using open-weight models without locking your product to one vendor.
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When AI Records Every Conversation: How to Preserve Trust
A practical framework for using AI transcripts to improve recall without turning meetings, disagreements, and changing opinions into permanent evidence.
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AI Governance for Agents, Privacy, and Open-Model Choice
A practical operating model for shipping AI agents with bounded data access, auditable decisions, and enough leverage to change models.
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Trustworthy Agentic Product Engineering: A Release Playbook
Use this release playbook to bound agent authority, stop inherited errors, evaluate failures, explain changes, and make AI actions reversible.
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How to Design AI Assistants for Wearables and Enterprise
A practical framework for choosing the right jobs, permissions, handoffs, and success metrics for AI assistants on wearables and at work.
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How Product Leaders Should Govern Frontier AI Releases
A practical release gate for assessing frontier-model capability, misuse controls, enterprise privacy, and dependency risk before you ship.
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How Financial Product Teams Can Earn Consumer Trust
A practical framework for designing, measuring, and governing trust across high-stakes financial journeys without reducing it to a brand score.
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How to Evaluate Corporate Data for AI Training Deals
A practical framework for testing enterprise data rights, quality, privacy, model fit, and economic value before committing to an AI training deal.
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A Practical Privacy Control Model for AI Agent Trace Analytics
A practical control model for collecting useful AI agent traces while limiting exposure across capture, redaction, access, exports, and retention.
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How to Build Governance Infrastructure for Autonomous AI Agents
A practical control-plane blueprint for identifying agents, limiting delegated authority, monitoring behavior, and preserving recourse.
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AI Agent Data Privacy: A Product Leader’s Launch Playbook
A launch-ready framework for mapping AI agent data flows, minimizing collection, redacting traces, setting retention, and testing every control.
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Persistent Memory for AI Assistants: A Product Playbook
A practical guide to deciding what an AI assistant should remember, operating its memory lifecycle, and measuring whether users can trust it.
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Persistent Memory for AI Agents: A Product Leader’s Guide
A practical framework for deciding what an AI agent should remember, how it should retrieve and forget memories, and how to test the value safely.
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How to Design Production AI Guardrails for Sensitive Workflows
A practical control-plane design for routing sensitive data, constraining agent actions, enforcing approvals, testing failures, and preserving auditability.
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How to Build Trustworthy AI Diagnostics for Women’s Health
A practical framework for defining clinical scope, communicating uncertainty, preventing automation bias and governing sensitive health data.
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AI Product Leadership: Faster Learning, Safer Systems
A practical framework for improving product discovery and delivery while matching AI evaluation, privacy, and governance to real-world risk.
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Migrate Analytics Platforms Without Chaos: 7 Proven Lessons to Plan, Move, and Land Cleanly
Migrating analytics platforms doesn’t have to derail roadmaps or erode trust. I share seven battle-tested lessons—shaped by work with Human37 and Amplitude—that help teams align on…
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Browse topics
- AI Strategy (429)
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- Product Management Leadership (373)
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