Who should use the Automate customer engagement workflow?
Teams or solo builders working on business tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Business
Practical workflow to implement an automated customer engagement system using chatbots, interaction flows, core engagement automation, and content delivery.
Deliverable outcome
A continuous improvement cycle with dashboards and regular updates that increase engagement metrics over time.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A continuous improvement cycle with dashboards and regular updates that increase engagement metrics over time.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use HubSpot AI (Breeze) to a documented list of engagement goals and customer segments with assigned journey stages. Then, you pass the output to Vergic to a complete set of conversation flow diagrams and scripts ready for chatbot configuration. Then, you pass the output to Vergic to a live chatbot that can handle the top intents for each customer segment with accurate responses. Then, you pass the output to SAP Emarsys Customer Engagement to a set of live automation rules that initiate chatbot conversations or messages based on customer behavior. Then, you pass the output to Salesforce Marketing Cloud to an automated content delivery system that sends relevant materials to customers based on their segment and behavior. Finally, Vergic is used to a continuous improvement cycle with dashboards and regular updates that increase engagement metrics over time.
Define Engagement Goals and Customer Segments
A documented list of engagement goals and customer segments with assigned journey stages.
Design Chatbot Conversation Flows
A complete set of conversation flow diagrams and scripts ready for chatbot configuration.
Build and Configure the Chatbot Platform
A live chatbot that can handle the top intents for each customer segment with accurate responses.
Set Up Core Engagement Automation Triggers
A set of live automation rules that initiate chatbot conversations or messages based on customer behavior.
Automate Content Delivery for Customer Communication
An automated content delivery system that sends relevant materials to customers based on their segment and behavior.
Monitor, Analyze, and Optimize Engagement
A continuous improvement cycle with dashboards and regular updates that increase engagement metrics over time.
Start by identifying the key outcomes you want from automation (e.g., lead qualification, support deflection, onboarding). Then segment your audience based on behavior, lifecycle stage, or demographics so that interactions are relevant. This step ensures every automated touchpoint has a clear purpose and target.
Why HubSpot AI (Breeze): HubSpot AI (Breeze) provides CRM capabilities for defining customer segments and engagement goals, with built-in prospecting and lead scoring.
Map out the conversation paths for each segment and goal using a flowchart or dialogue builder. Include branching logic for common intents (e.g., 'track order', 'cancel subscription') and fallback messages for unrecognized inputs. This blueprint ensures the chatbot can handle real interactions without dead ends.
Why Vergic: Vergic specializes in automating customer queries with AI chatbots and provides tools to design conversation flows.
Select a chatbot platform that integrates with your existing tools (CRM, website, messaging apps). Implement the designed flows using the platform's visual builder or code, set up natural language processing (NLP) for intent recognition, and connect to backend systems for real-time data (e.g., order status). Test each flow with sample inputs.
Why Vergic: Vergic is a chatbot platform that automates repetitive queries and provides AI suggestions, fitting the build and configure step.
Define automated triggers that launch chatbot interactions or follow-up messages based on customer actions (e.g., page visit, cart abandonment, support ticket opened). Configure these in your marketing automation or CRM tool so that the right message reaches the right person at the right time. This step turns the chatbot from reactive to proactive.
Why SAP Emarsys Customer Engagement: SAP Emarsys Customer Engagement offers omnichannel workflow automation and predictive lifecycle management for setting up triggers.
Set up scheduled or event-triggered delivery of educational, promotional, or transactional content (e.g., onboarding emails, product tips, re-engagement offers). Use your chatbot or email platform to send personalized content based on segment and behavior. This ensures customers receive value without manual effort.
Why Salesforce Marketing Cloud: Salesforce Marketing Cloud provides email marketing and campaign management for automated content delivery.
Track key metrics (e.g., response rate, resolution time, conversion rate) using analytics dashboards. Review chatbot logs and automation reports weekly to identify bottlenecks or drop-offs. Iterate on conversation flows, triggers, and content based on data to continuously improve customer engagement.
Why Vergic: Vergic analyzes customer sentiment and intent, providing monitoring and optimization capabilities for engagement.
§ Before you start
Teams or solo builders working on business tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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