Practical writing on Amazon Connect, AI automation, and running a smarter contact center.
Live analytics tells a supervisor what is happening on one call. Post-call tells you what happened across all of them. Neither says whether the reservation was paid. What Contact Lens covers, and the pipeline we built to measure what an AI agent finishes.
Five field-tested signals that your service platform, not your people, is the bottleneck, and what to do in the 30 days after you count three or more.
Repetitive volume isn't a staffing problem. It's a design problem. What to automate first, what to keep human, and a 30-day pilot to start safely.
Amazon Connect added eight AI agent metrics in April 2026. What each one measures, which two we would gate a go-live on, which one gets misused, plus a free one-page scorecard.
Most chatbots answer questions; agentic chatbots finish the task. Three workflows they complete today on Amazon Connect, what keeps them safe, and the four places they still fail.
How customer service automation increases efficiency, cuts costs, and improves response times, and the practical steps to implement it well.
How to build a production-ready self-storage chatbot across voice (Amazon Connect + Lex V2) and web, orchestrated by a LangGraph agent backed by OpenAI.
Start with a free 30-minute call: an AI Readiness Check with a one-page summary. No pitch.