From manual bill review to intelligent automation — a complete AI-native operational infrastructure that scales with your BNPL business.
WillowPays operates an elegant BNPL service: users upload bills, WillowPays covers them, users repay in four weekly installments. But manual processes in bill review, customer support, collections, and marketing create bottlenecks that limit growth and increase risk.
This proposal outlines a complete AI agent deployment strategy across six operational layers: bill intake automation, lightweight CRM, customer health scoring, retention workflows, marketing intelligence, and internal operations.
Understanding the revenue mechanics is critical because every AI system we deploy must tie back to one of these levers:
Every uploaded bill requires human eyes to verify amount, provider, due date, and legitimacy. This is the single biggest bottleneck.
Customer data lives in scattered systems. No unified view of who each customer is, what they have done, or what they need next.
Customer questions pile up. Support is answering the same 10 questions repeatedly instead of focusing on complex issues.
No segmentation, no behavioral triggers, no way to tell a loyal repeat user from someone about to default.
Payment reminders are likely generic or manual. No escalation logic based on customer history or risk profile.
WillowPays doesn't need Salesforce or HubSpot. Those platforms are designed for sales pipelines with dozens of deal stages. WillowPays has a fundamentally different model: a user submits a bill, gets approved (or not), repays over four weeks, and hopefully comes back.
Our approach: A lightweight, custom CRM built around their actual workflow. It will cost less, move faster, and integrate directly with the AI agents.
| Entity | Key Fields | Purpose |
|---|---|---|
| Customer Profile | ID, signup date, contact info, health score, segment | Single view of every customer |
| Bill Record | Amount, provider, due date, status, approval time | Track every bill from upload to payment |
| Payment Record | Installment #, amount, due date, paid date, status | Monitor repayment behavior |
A health score is a single number (0-100) that tells you how "healthy" a customer relationship is. Think of it like a credit score, but for engagement and reliability.
This is the most valuable system in the entire proposal because it connects everything: retention, marketing, risk management, and revenue forecasting.
Health Score = (Payment Reliability × 0.35) + (Engagement × 0.25) + (Recency × 0.20) + (Tenure × 0.10) + (Volume × 0.10)
| Segment | Score | Strategy |
|---|---|---|
| Champions | 80-100 | Referral programs, testimonials, priority support |
| Steady Users | 60-79 | Increase frequency, cross-sell, education |
| At-Risk | 40-59 | Immediate outreach, flexible options, feedback |
| Dormant | 20-39 | Reactivation offers, then archive |
| New Users | 0-19 | Onboarding, first-bill success |
The current process: User uploads a photo or PDF of a bill. A human reviews it to extract provider name, bill amount, due date, account number, and legitimacy. This takes time and creates a bottleneck.
The retention engine monitors health score changes and executes playbooks automatically. It doesn't wait for a human to notice a problem — it acts the moment the data signals one.
Missed repayments are WillowPays' number one financial risk. Generic "your payment is overdue" emails don't work because they ignore the context of each customer's situation.
| Step | Timing | Action |
|---|---|---|
| Step 1 | 1 day before due | Friendly reminder via preferred channel |
| Step 2 | Day of missed payment | Personal outreach with payment link |
| Step 3 | 3 days late | Phone call + email with urgency |
| Step 4 | 7 days late | Final notice before escalation |
| Step 5 | 14 days late | Human collections team takes over |
A single AI agent that acts as the operational brain for the WillowPays leadership team — the "Chief of Staff" model.
The founder can message the agent directly and ask questions like:
Set up Webhosting.net backend, define data model, build admin dashboard. Import existing customer data.
Implement scoring algorithm, segment definitions, real-time updates. Connect to CRM.
OCR integration, LLM parsing, validation layer. Parallel run with human review.
Build playbooks, set up automated triggers, configure escalation ladder.
Campaign triggers, lookalike audience exports, testimonial engine.
Daily briefing automation, ad-hoc query interface, performance tuning.
One-time project to build and deploy all six AI systems.
Systems build plus ongoing optimization and support.
Monthly retainer for continuous AI operations management.
We're not a traditional agency pitching slide decks. We build and deploy working AI agent systems. Our team has production AI agents running 24/7 with multi-model fallback, automated workflows, and deep fintech experience.
We understand operations because we run multiple business verticals ourselves. We're not consultants who leave you with a PDF. We build the systems, deploy the agents, and stay engaged to optimize them.
Let's discuss how these AI systems can reduce your operational costs by 40-60% while improving customer experience and scaling your BNPL business.
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