Agent Analytics
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Multi‑Agent Systems Demystified: Why One AI Isn’t Enough—and How I Ship Faster With Many
Multi-agent systems turn a single clever model into a reliable product engine by coordinating specialized agents—planner, executor, and verifier—inside robust AI workflows. I use a retrieval-first…
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Deeper AI Integration, Clearer ROI: How Mature Deployments Redefine Support Economics
AI can deliver quick efficiency wins, but the real ROI emerges when it is deeply integrated into support workflows. As deployments mature, teams move from tracking…
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AI Agent Deployment Mastery: My Proven Checklist to Ship Safely, Faster, and at Scale
AI agents demand a higher bar for safety, observability, and measurable outcomes. In this first-person playbook, I share the proven checklist I use to deploy agentic…
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Vibe Coding Unleashed: How Parallel Agents Build KPI Driver Trees in Under Two Hours
Parallel agents are transforming how I build analytics artifacts and make product decisions. By running specialized agents in parallel—metrics, data modeling, research synthesis, prototyping, and evaluation—I…
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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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How Product Leaders Turn AI Agents Into Adopted Workflows
A practical framework for choosing an agent workflow, defining safe autonomy, measuring real adoption, and scaling only when outcomes improve.
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Real-Time Analytics for Financial-Services Contact Centers
A practical operating model for turning live contact-center signals into routing, agent guidance, experiments, and compliant decisions.
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Agentic AI for Construction Tendering: A Product Playbook
A practical playbook for narrowing the tendering wedge, designing specialist agents, evaluating each decision, and earning safe autonomy.
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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 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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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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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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How to Design Multi-Agent Fintech Support That Finishes Work
A field guide to dividing agent roles, controlling multi-day fintech cases, enforcing compliance, and measuring verified resolution instead of chat volume.
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2026 Support Capacity Playbook: Bold AI Automation, Smarter Staffing, Zero‑Surprise SLAs
AI is reshaping support capacity planning, and the old linear volume-to-headcount model no longer holds. I center plans on automation rate (AI Agent involvement rate ×…
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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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How to Build a Conversation-Based Customer Experience Score
Learn how to design an explainable conversation score, validate its coverage, route each driver to an owner, and judge when it can replace CSAT.
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Win AI Search: Proven Playbook to Get Your Startup Recommended by ChatGPT & Perplexity
AI search is becoming the new homepage for startups, and the brands that win are the ones models can clearly identify, verify, and cite. In this…
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The Product Playbook: Measuring Agent Performance with Pendo and Agent Analytics to Drive ROI
Measuring agent performance isn’t just about faster responses—it’s about creating a continuous feedback loop between product and support. By pairing Pendo’s product analytics with Agent Analytics,…
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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 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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Browse topics
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