The AI Contact Center Handbook

A practical field guide to customer experience in the age of agentic AI — chapter by chapter, for teams evaluating AB Support.


Total of 6 articles available. Currently on page 1 of 1.

Chapter 9 — Keeping AI out of PCI Scope

Why post-call redaction fails PCI DSS v4.0 audits, how the LLM Scope Rule silently pulls modern contact-center systems into scope, and the pause-and-resume architecture with network-level DTMF masking the industry has converged on.

Chapter 8 — Navigating the Regulatory Minefield

A working map of the five regulations every AI-powered contact center leader needs to know cold — GDPR, CCPA, HIPAA, TCPA, and the EU AI Act — plus the governance-by-design apparatus that keeps modern operations defensible.

Part 4 — Governance & Safety

An overview of Part 4 of the AI Contact Center Handbook — the governance, compliance, and safety layer that keeps AI-mediated customer interactions inside the law and inside the trust boundary.

Chapter 5 — The Experience Orchestration Platform (XOP)

Chapter 5 walkthrough from The AI Contact Center Handbook. The XOP is the sub-second decision layer above the CCaaS, CRM, and CDP — the brain that fuses live signals and CAMARA network APIs into a real-time answer.

Chapter 3 — The Rise of Agentic AI

A walkthrough of Chapter 3 of The AI Contact Center Handbook — what "agentic" actually means, why a chatbot is not an agent, the three ingredients (model + tools + memory), and the seven design principles that separate production systems from failed pilots.

Chapter 2 — The Architecture of Convergence: UCaaS, CCaaS, and CPaaS

A walkthrough of Chapter 2 of The AI Contact Center Handbook — the three acronyms behind every vendor pitch, why they are all converging into a single Communications Cloud, and what a buyer should actually evaluate.