CASE STUDY 13

Agentic Customer Onboarding and Support Engine

Event-driven, state-aware workflows that autonomously guide accounts through the post-signup lifecycle.

Industry: SaaS Timeline: 6 weeks AI AgentsWorkflowsCustomer Onboarding
Agentic Customer Onboarding and Support Engine — architecture diagram
SYSTEM ARCHITECTURE

The pain

The SaaS team had grown to 200 monthly signups and a manual onboarding process was holding them back. Customer success was emailing each new account, manually walking them through setup, chasing missing information, and tracking onboarding status in a spreadsheet.

The drop-off rate during onboarding was 38%.

They needed an agentic system that could autonomously handle the standard onboarding sequence, detect stuck accounts, and route the right escalations to the right humans.

What I built

Activepieces orchestrator

Runs the master onboarding state machine.

Event-driven triggers

Stripe (subscription created), Auth0 (account created), product webhooks.

State-aware workflow

Knows where each customer is in the flow and acts accordingly.

Personalized messages

AI-generated by plan, vertical, team size.

SLA monitor

Flags accounts stuck longer than the configured threshold.

Helpdesk routing

Flagged accounts to the right CS rep with full context.

Support intake workflow

Classifies tickets, attaches account state, routes to the right queue.

Dashboards

Onboarding funnel by stage, drop-off points, SLA breaches.

Outcome

14%
Drop-off, down from 38%
3days
Time-to-value, down from 11
2.5x
CS team throughput
<3%
SLA breach, down from 18%

Stack

ActivepiecesDifyn8nStripe APIAuth0 webhooksHubSpotHelpdesk APIsSlackOpenAI
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