Chatbot workflow automation: what happens after the chat
Chatbot workflows carry a conversation's result into your systems without manual work: trigger, condition, action, approval, six examples and error handling.
The work does not end when the conversation does: the lead has to reach the right salesperson, land in the right CRM fields, trigger the right escalation — and all of it has to be measured. This section covers where a chatbot meets a company's internal systems: integration, routing, workflows, KPIs and what can be learned from conversations.
The articles are for CRM managers, sales operations and technical teams. See CRM for where leads are kept, integrations for connecting other systems, and security for how data is protected.
10 of 10 posts shown
Chatbot workflows carry a conversation's result into your systems without manual work: trigger, condition, action, approval, six examples and error handling.
A chatbot and an AI voice agent together: when to move from chat to a call, consent, carrying context, AI or human caller, a sample flow and metrics.
Chatbot conversation analytics turns customers' words into decisions: data sources, theme analysis, sales objections, lost intents, product findings and privacy.
A framework for chatbot data security: a risk map, minimum data, access rights, personal data, retention and the questions to ask your vendor.
«The bot isn't working» is not a diagnosis. Five error classes, where to look for each, test cases, prioritisation and a debug checklist for a live chatbot.
Separating vanity numbers from business numbers, with separate formulas for support and sales scenarios, what each figure hides and the measurement traps.
When the bot should read live data, when it should take an action and when it should emit an event — with the security boundaries each direction needs.
A concrete catalogue of the situations that should stop automation — payment, legal, anger, ambiguity, high value, repeated failure and explicit request.
Which fields a conversation should write to the CRM — source, intent, product, timing, contact and summary — and which ones only look useful.
How to write chatbot routing rules as a priority-ordered decision table: intent, customer value, hours and fallback — plus what to measure and where the rules usually break.
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