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11 articles in Best practices
Best practices
Human handoff is when an AI chat passes a conversation to a person on your team, with everything said so far attached. How it works, when it should happen, what has to move with the chat, and what to check in a tool.
Best practices
A chatbot answers questions. An AI agent answers and acts: it checks your systems, does the task and hands the chat to a person when needed. Here is how to tell them apart and which one your support needs.
Best practices
A practical playbook for testing AI support agents after knowledge, model, widget, configuration, or action changes. It shows how to verify answers, fallbacks, human handoff, and external action results instead of trusting response text alone.
Best practices
An after-hours chatbot should route conversations into four clear states: answered, handed off, follow-up needed, or urgent review. This playbook shows support managers how to define those states, collect useful context, build a morning queue, add safe actions, and test the workflow in AssistLoop.
Best practices
Chatbot conversation consent involves separate decisions about support, transcript storage, analytics, lead capture, and human handoff. This guide gives support teams a practical sequence for testing notices, decline paths, records, and platform boundaries without treating AssistLoop as a consent-management system.
Best practices
A buyer-focused guide to customer support chatbot architecture for SaaS support and CX leads. Learn how to inspect six system layers, assign ownership, test fallbacks, and roll out a managed AI support agent safely.
Best practices
A practical playbook for CX leads who want conversation labels to produce better handoffs, follow-up, training work, and reporting. The guide builds a six-tag starting taxonomy without claiming that AssistLoop provides native conversation tagging.
Best practices
A practical guide for ecommerce support and CX teams building a returns chatbot workflow. It covers policy-grounded answers, order lookups, exception handling, human handoff, testing, and post-launch review.
Best practices
A practical playbook for handling chatbot fallback messages by failure mode. Learn what to say, when to retry or hand off, and how to use conversation logs to fix repeat failures.
Best practices
A support-first playbook for designing chatbot lead qualification around four questions, clear decision rules, and useful human handoffs. Learn how to build and test the flow in AssistLoop without asking for contact details too early.
Best practices
A failure-mode-first playbook for building a chatbot knowledge base from real support questions. It covers source audits, retrieval-ready writing, testing, human handoff, actions, and ongoing ownership.
