Own Mortgage AI.

What you'd own.

Every artifact below transfers to your accounts on day one. The whole engine.

• ●Mortgage AI brand identity, positioning, and market messaging
• ●Landing page, email sequences, and LinkedIn outreach templates
• ●AI agent design specification for document processing workflow
• ●Financial model with unit economics and pricing structure
• ●Founder persona detailing independent broker buying patterns
• ●Initial customer onboarding and success playbook
• ●Product roadmap prioritized by customer feedback

What Roll Digital builds for you.

Custom scope to take Mortgage AI from MVP shell to operating business.

• ▸Production backend on FastAPI with Postgres and Redis caching
• ▸Stripe billing integration for subscription tiers, seat management, and usage tracking
• ▸Multi-tenant authentication with email, Google sign-in, and enterprise SSO
• ▸Document upload, OCR parsing, and AI workflow automation engine
• ▸Dashboard showing loan pipeline status, document checklists, and task assignments
• ▸Compliance audit logs for RESPA, ECOA, and state privacy requirements
• ▸Email and SMS notification system for brokers and borrower updates
• ▸30-day customer onboarding, training, and ongoing success support program

Why this could work.

Independent mortgage loan officers spend 30-40% of time manually chasing documents and coordinating between parties, creating a clear efficiency opportunity. The GTM is proven: outbound LinkedIn effectively reaches 100k+ potential users, with documented 3-4 closes monthly at $150 MRR per seat. Total addressable market exceeds $18 billion. At scale, unit economics support sustainable gross margins and customer acquisition costs under $1000 per new customer.

What you'd risk.

Large lenders like UWM, Rocket, and loanDepot prohibit third-party tools, cutting addressable market by 30-50%. Mortgage origination volume is highly rate-sensitive; current market depression makes loan officers cut costs and resist new subscriptions. Regulatory compliance requirements for RESPA, ECOA, and state lending laws create existential risk: a single data breach or fair-lending complaint can shut down the entire product. Customer concentration risk in industry downturn.

Who this fits.

This business suits a founder or operator who knows mortgage lending intimately or runs an established agency serving loan officers. You need deep industry credibility to navigate compliance, patience through mortgage cycles, and operational discipline to survive on thin margins until scale. Solo founders without compliance expertise or SaaS go-to-market experience will struggle. A former mortgage executive or fintech operator succeeds here.

Timeline.

From contract signing to operating business.

1. Day 1
   Founder knowledge transfer and existing customer list access
2. Week 1
   Production backend deployed with database and auth system
3. Week 3
   Document processing pipeline and dashboard MVP functional
4. Week 6
   Stripe billing integrated and first cohort onboarded
5. Day 90
   Product scaled to 50 customers with compliance framework

Pricing.

Three ways in, depending on how much you want to build yourself.