magma-ai

byRijul 456

Build: AI Revenue Recovery Agent Build a production-quality SaaS web application called RecoverAI. 1. Core Product RecoverAI is an AI-powered revenue recovery agent for SaaS companies and SMBs. Its job is to automatically identify revenue that is at risk or already lost, determine the best recovery action, communicate with customers, and track recovered revenue. The product should not merely be a dashboard or chatbot. It should function as an AI agent that takes actions on behalf of the business, while keeping humans in control of sensitive actions. ⸻ 2. Target Customer Initial target: * SaaS companies * Subscription businesses * Agencies * Small/medium businesses with recurring invoices Primary initial use case: Failed subscription payments Example: A customer has a $99/month subscription. Their payment fails. RecoverAI: 1. Detects the failed payment. 2. Determines the likely reason. 3. Scores the likelihood of recovery. 4. Selects an appropriate communication strategy. 5. Sends a personalized recovery message. 6. Monitors the customer’s response. 7. Handles basic replies using AI. 8. Retries payment according to configured rules. 9. Escalates complicated cases to a human. 10. Tracks whether the payment was recovered. 11. Reports the recovered revenue. ⸻ 3. Main Dashboard Create a professional SaaS dashboard showing: Revenue Recovery * Revenue at risk * Revenue recovered * Recovery rate * Customers contacted * Payments recovered * Outstanding amount * Recovery this month * Recovery this week AI Activity Show recent agent actions: * Payment detected * Customer contacted * Follow-up scheduled * Customer responded * Payment recovered * Human approval requested * Case escalated Recovery Pipeline Show: Detected → Contacted → Engaged → Payment Pending → Recovered → Failed ⸻ 4. AI Agent Create a central AI agent called Recovery Agent. The agent should analyze each recovery case and produce: * Customer value * Amount owed * Days overdue * Previous payment history * Previous communication * Probability of recovery * Recommended action * Recommended communication channel * Recommended timing * Risk level * Whether human approval is required The agent should explain WHY it selected an action. Example: “Customer has successfully paid for 14 months, has no previous failed payments, and the current failure appears temporary. High recovery probability. Recommend a friendly payment-update message followed by a retry.” ⸻ 5. Customer Recovery Page Each customer should have a detailed recovery profile. Display: * Customer name * Company * Email * Amount owed * Subscription * Payment history * Failed payment history * Recovery probability * Customer lifetime value * Communication history * AI reasoning * Next scheduled action * Recovery status Include an activity timeline. Example: Sept 4 — Payment failed Sept 4 — AI analyzed account Sept 4 — Recovery email sent Sept 5 — Customer replied Sept 5 — AI classified response Sept 5 — Payment link sent ⸻ 6. Automated Communication Support: * Email * SMS * WhatsApp where supported The AI should generate personalized messages rather than generic templates. Example: Instead of: “Your payment failed. Please update your payment method.” Generate: “Hi Rahul, we noticed that your latest subscription payment didn’t go through. Your account is still active, so there’s nothing you need to do immediately. You can securely update your payment method here…” Allow the business to configure: * Brand voice * Formality * Maximum number of follow-ups * Follow-up intervals * Discount/payment-plan rules * Escalation rules ⸻ 7. AI Reply Handling When customers respond, classify the response. Categories: * Wants to pay * Payment issue * Needs payment link * Wants refund * Wants cancellation * Wants discount * Financial difficulty * Technical issue * Angry customer * Unknown The AI should decide whether it can respond automatically. For sensitive situations, show: “Human approval required” Never allow the AI to invent discounts, refunds, payment terms, or policies that the business has not configured. ⸻ 8. Recovery Rules Allow administrators to configure rules such as: Example Day 0: Payment fails. Immediately: Send friendly notification. Day 2: Send first follow-up. Day 5: Retry payment. Day 7: Send second follow-up. Day 14: Escalate. Day 21: Mark account as high-risk/churn-risk. The rules should be editable. ⸻ 9. Integrations Design the architecture so integrations can be added easily. Initial integration: Stripe Support: * Customers * Subscriptions * Invoices * Payment failures * Payment status * Payment retries Use Stripe webhooks for real-time events. Architect the integration layer so future integrations can include: * Razorpay * Paddle * Chargebee * PayPal * QuickBooks * Xero * HubSpot * Salesforce Do not hard-code the entire application around Stripe. ⸻ 10. Human-in-the-Loop The business owner must always be able to control the agent. Create: Approval Center Cases requiring approval should appear here. Examples: * Refund request * Large discount * Angry customer * Legal complaint * Payment-plan request * Unusual customer request Buttons: Approve Reject Edit Response Take Over ⸻ 11. AI Safety The agent must never: * Invent company policies * Invent discounts * Promise refunds without authorization * Reveal private business information * Pretend to be a human * Make unauthorized financial commitments * Send messages outside configured rules Every AI action must be logged. ⸻ 12. Recovery Analytics Create analytics showing: * Total revenue at risk * Total recovered * Recovery percentage * Average recovery time * Recovery by communication channel * Recovery by customer segment * Recovery by payment failure type * AI-generated vs human-handled recoveries * Revenue recovered per campaign Include charts. ⸻ 13. ROI Calculator Create a built-in calculator. Inputs: * Monthly failed payments * Average failed payment amount * Current recovery rate Output: * Revenue currently lost * Estimated recoverable revenue * Potential additional revenue * Estimated annual impact Example: $100,000 failed payments/month Current recovery: 40% Potential recovery: 65% Show: Estimated additional recovered revenue: $25,000/month ⸻ 14. SaaS Billing Create pricing architecture with: Starter $49/month Growth $149/month Scale $499/month Also support usage-based pricing based on recovered revenue. Do not hard-code billing logic; structure it so Stripe Billing can be integrated. ⸻ 15. Landing Page Create a high-converting SaaS landing page. Hero: Recover Revenue Your Business Is Already Losing. Subheadline: RecoverAI automatically finds failed payments and unpaid revenue, communicates with customers, and takes the next recovery action—so your team doesn’t have to chase money manually. CTA: Start Recovering Revenue Secondary CTA: See How It Works Include: * Problem * How it works * AI agent * Integrations * ROI calculator * Dashboard preview * Security * Pricing * FAQ * CTA ⸻ 16. Product Design Design should feel like a serious B2B SaaS product. Style: * Clean * Modern * Premium * Minimal * Professional * Data-focused Use a responsive layout. Support: * Desktop * Tablet * Mobile Create proper: * Navigation * Sidebar * Dashboard * Cards * Tables * Charts * Modals * Notifications * Empty states * Loading states * Error states ⸻ 17. Authentication Implement: * Sign up * Login * Logout * Password reset * Email verification * Organization/workspace system Support multiple users within a business. Roles: * Owner * Admin * Manager * Viewer ⸻ 18. Database Create a proper relational database architecture. Core entities: * Users * Organizations * Customers * Subscriptions * Invoices * Payments * Payment failures * Recovery cases * AI actions * Communications * AI conversations * Recovery rules * Integrations * Approvals * Audit logs * Billing plans Use proper relationships and indexes. ⸻ 19. AI Architecture Do not make the AI a single generic chatbot. Use a structured agent architecture: Detection Layer Find revenue-recovery opportunities. ↓ Analysis Agent Analyze customer/payment context. ↓ Strategy Agent Choose the best recovery strategy. ↓ Communication Agent Generate the appropriate message. ↓ Response Agent Understand customer responses. ↓ Action Agent Execute allowed actions. ↓ Verification Layer Verify that the action succeeded. ↓ Human Escalation Escalate when confidence is low or authorization is required. Every action should have: * Input * Decision * Reason * Action * Result * Timestamp ⸻ 20. Demo Mode Because the application should be immediately testable, create a realistic demo workspace. Populate it with: * 100 customers * 25 failed payments * Different payment failure reasons * Different customer values * Recovery conversations * Recovered payments * Pending cases * Escalated cases The demo should make the product feel like a functioning business rather than an empty prototype. ⸻ 21. Most Important Requirement Do NOT build this as merely: “A dashboard showing failed payments.” Build it as: An autonomous revenue recovery operating system. The central product loop is: Detect → Understand → Decide → Communicate → Act → Verify → Learn The dashboard exists to let the human supervise the AI. The AI agent is the actual product. Build the MVP end-to-end with clean architecture so real Stripe integration, real messaging providers, AI models, and billing can be connected without rewriting the application. Build me this micro Saas