Customer Onboarding Automation
Multi-agent onboarding system that personalizes welcome sequences, tracks activation milestones, and intervenes when users stall.
🎯 Buy once, deploy on any framework
Includes implementations for CrewAI. One purchase — all platforms.
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- ✓ All 1 platform implementations
- ✓ Full source code & documentation
- ✓ Commercial license included
- ✓ 30-day money-back guarantee
- ✓ Free updates for 1 year
- ✓ 30-day email support
Choose Your Platform
One purchase includes all 1 implementations. Deploy on whichever framework fits your stack.
CrewAI
CrewAI crew with 4 specialized agents and production-ready tools.
Included in CrewAI version
- ✓crew.py with 4 agents
- ✓Custom tools
- ✓Config templates
- ✓Deployment guide
⚡ Why OpenClaw?
One-click install, automatic orchestration, built-in cron scheduling, and memory integration. Other platforms require manual setup — OpenClaw gets you to production in minutes.
Code Preview — CrewAI
from crewai import Agent, Crew
planner = Agent(role='Journey Planner', goal='Personalize onboarding paths', tools=[user_profiler, path_gen])
tracker = Agent(role='Milestone Tracker', goal='Detect stalls', tools=[event_monitor, stall_detector])Agent Architecture
How the 4 agents work together
Your data, triggers, or requests
Journey Planner
Personalized Path Creation
Creates personalized onboarding paths based on user profile and goals.
Milestone Tracker
Activation Monitoring
Monitors activation events and flags users who stall.
Intervention Agent
Proactive Assistance
Sends targeted help when users stall.
Success Scorer
Onboarding Evaluation
Evaluates success and predicts retention likelihood.
Structured results, reports, and actions
What's Included
Everything you get with this template
The Problem
Most SaaS products lose 40-60% of new signups during onboarding. Generic welcome emails don't adapt to individual needs.
The Solution
A 4-agent system that creates personalized onboarding paths, tracks milestones in real-time, and intervenes when users stall.
Tools You'll Need
Everything required to build this 4-agent system — click any tool for details
Agent orchestration
LLM for personalization
Product analytics for milestone tracking
Email delivery for onboarding sequences
User state and journey database
Alerts for high-value user stalls
Implementation Guide
8 steps to build this system • 2-3 hours estimated
📋 Prerequisites
Map your activation milestones
Identify the 5-8 key events that indicate successful onboarding.
Define user segments and paths
Create different onboarding paths based on role, company size, use case.
Configure event monitoring
Wire product analytics events to the Milestone Tracker for real-time detection.
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Code Preview
Sample agent setup — see platform-specific previews above
from crewai import Agent, Crew
planner = Agent(role='Journey Planner', goal='Personalize onboarding paths', tools=[user_profiler, path_gen])
tracker = Agent(role='Milestone Tracker', goal='Detect stalls', tools=[event_monitor, stall_detector])Example Input & Output
See what goes in and what comes out
{"user_id": "u_7823", "plan": "pro", "role": "marketing_manager"}{"path": "marketing-pro", "milestones": 8, "current": 3, "status": "stalled", "intervention": "tutorial: campaign setup"}Requirements
Reviews
What builders are saying
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Frequently Asked Questions
Do I get all platform implementations?+
Yes — one purchase includes all platform implementations.
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