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.
5 of 5 posts shown
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.
Separating vanity numbers from business numbers, with separate formulas for support and sales scenarios, what each figure hides and the measurement traps.
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.
See Vexvon live in a 10-minute demo.