Customer support is often the make-or-break factor for solo founders—it's where reputation is built, churn is prevented, and product insights are discovered. The traditional model of hiring support agents simply doesn't scale for bootstrapped businesses, but AI has fundamentally changed this equation.
123456789101112{ "scenarios": [ { "name": "pricing_inquiry", "triggers": ["how much", "pricing", "cost", "price", "plans"], "response": { "type": "cards", "message": "Great question! Here are our plans:", "cards": [ { "title": "Starter - $29/mo", "description": "Perfect for individuals. Includes core features.",
123456789101112import OpenAI from 'openai'; import { IntercomClient } from 'intercom-client'; const openai = new OpenAI(); const intercom = new IntercomClient({ tokenAuth: { token: process.env.INTERCOM_TOKEN } }); interface TicketAnalysis { category: 'billing' | 'technical' | 'feature_request' | 'bug_report' | 'account' | 'general'; priority: 'urgent' | 'high' | 'medium' | 'low'; sentiment: 'angry' | 'frustrated' | 'neutral' | 'positive'; suggestedResponse: string; relevantDocs: string[];
123456789101112interface CustomerHealthScore { userId: string; score: number; // 0-100 factors: { engagement: number; // Recent product usage sentiment: number; // Based on support interactions paymentHealth: number; // Payment history featureAdoption: number; // % of features used supportLoad: number; // Recent ticket volume (inverse) }; risk: 'healthy' | 'at_risk' | 'critical'; recommendedAction: string;
123456789101112interface ProactiveAlert { userId: string; alertType: 'error_spike' | 'usage_drop' | 'feature_struggle' | 'billing_issue'; severity: 'info' | 'warning' | 'critical'; details: Record<string, any>; suggestedAction: string; autoMessageTemplate?: string; } async function monitorUserHealth(): Promise<ProactiveAlert[]> { const alerts: ProactiveAlert[] = []; const users = await getActiveUsers();