customer_support · saas · workflow
ActiveCampaign deflects more than 60% of chat tickets and launches a full AI program with Forethought
ActiveCampaign's legacy chatbot relied on rigid decision trees requiring manual updates, making it clunky and hard to scale as ticket volume grew. Most AI vendors evaluated were building AI as an add-on with unproven features, leaving the team without a production-ready solution.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer submits help center chat
The AI-powered chat solution lives in the help center and fields customer support questions.
Tools used
ForethoughtForethought SolveForethought AssistAutoflowsAction Builder
Outcome
ActiveCampaign achieved over 60% sustained chat deflection that has not dropped since deployment, reduced agent-handled tickets by 40% from baseline, and saves the equivalent of more than five full workdays per week through internal Solve usage.
What failed first
The existing chatbot was built on rigid decision trees that required manual updates for every change, making it impossible to keep up with growing and varied customer needs.
Results
Time saved1,300
Volume+60%
Grounding & classification
Source type: vendor customer story
43 fields verified against source quotes.
agent assistagentic workflowchatbotconversational aiknowledge searchsummarizationsupport agentchat transcriptknowledge basesupport ticketfailure mode describedhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwareautomation ratedeflection rateemployee productivityresponse time reductiontime savedvendor customer storycustomer supportticket triageautonomous resolutionescalation workflowextract classify route