knowledge management
- AI Strategy (315)
- Generative AI (106)
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- Leadership (76)
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- Product Management Leadership (306)
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How to Build an AI Productivity Stack That Saves You Time
A practical framework for choosing a small AI tool stack, testing real time savings, protecting judgment, and scaling useful team workflows.
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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 Persistent Memory for Reliable AI Agents
A practical framework for deciding what an AI agent should remember, retrieving it safely, correcting stale facts, and proving that memory helps.
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Persistent AI Agent Memory: A Knowledge Graph Blueprint
A practical blueprint for modeling, governing, retrieving, and evaluating knowledge graph memory that an AI agent can safely use over time.
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How to Build Persistent Business Memory with AI Knowledge Graphs
Learn how to design a time-aware, evidence-linked knowledge graph that lets AI recover current decisions, their history, and provenance.
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Enterprise AI Ownership: What Your Company Must Control
A practical framework for deciding which AI assets, learning loops, contracts, and platform layers your enterprise must control as models change.
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How to Operate AI Customer Agents as a Reliable CX System
A practical operating model links agent capabilities, release readiness, evaluation, measurement, and ownership into one continuous CX improvement loop.
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How I Make AI Agents Speak Like Our Team: A Conversation Design Playbook That Lifts CSAT
Your AI Agent will sound like an LLM unless you intentionally design how it communicates. I share a practical conversation design playbook covering tone, response structure,…
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AI-Ready Customer Support: An Operating Model That Works
A practical operating model for preparing support knowledge, workflows, guardrails, human handoffs, and launch controls for reliable AI automation.
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Beyond Accuracy: How I Evaluate AI Customer Service Agents That Delight and Scale
Most teams judge AI agents by accuracy and resolution rates—but that’s only half the story. In my POCs, I mirror real-world messiness, stress-test multi-turn and multilingual…
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Unlocking AI Agents: The Real Barrier Is Readiness—Not Capability—Here’s How to Scale
The biggest barrier to scaling AI Agents isn’t model capability—it’s organizational readiness. I break readiness into five types (content, scope, procedural, data, execution) and show why…
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How to Deploy an Operator AI Agent in Customer Operations
A practical playbook for selecting operator-agent workflows, designing safe actions, and measuring improvements in customer operations.
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Knowledge Management for AI Sales Agents: A Practical System
A practical operating model for turning product facts, sales policy, and conversation failures into accurate AI qualification and routing.
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How to Build Scalable, AI-Ready Product Documentation
A practical operating model for creating reliable, versioned product knowledge that serves customers, support teams, and AI assistants.
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How to Build a Mature AI Customer Service Operation
A practical maturity model for turning customer-service AI from a live pilot into an owned, measurable operation that resolves complex work safely.
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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 a Self-Improving AI Support Operation
A practical operating model for turning AI support failures into owned, tested changes that improve resolution without weakening quality or trust.
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AI-Enabled Customer Support Roles: A Practical Org Design
A practical model for assigning AI quality, knowledge, conversation design, automation, and human escalation without hiring too early.
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AI-First Customer Support for Sustainable Ecommerce Growth
A practical operating model for choosing AI support workflows, controlling ecommerce actions, measuring real resolution, and scaling without losing trust.
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Browse topics
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