Own Expense Management AI.

What you'd own.

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

• ●Landing page with founder persona and core messaging angles
• ●Email and LinkedIn prospecting templates for controllers and finance ops
• ●AI agent spec for receipt parsing and expense categorization
• ●Financial model with unit economics and sales projections
• ●QuickBooks and Xero sync code with existing test cases
• ●Brand identity, custom domain, and warm customer introductions
• ●Sales playbook including demo script and pricing framework

What Roll Digital builds for you.

Custom scope to take Expense Management AI from MVP shell to operating business.

• ▸Production backend on FastAPI with PostgreSQL and multi-tenant architecture
• ▸Stripe billing for 3 pricing tiers with usage metering
• ▸Email and Google OAuth authentication with company domain verification
• ▸Receipt OCR and ML expense categorization using Claude API
• ▸Real-time QuickBooks Online and Xero sync with data validation
• ▸Admin dashboard with sync health monitoring and error alerts
• ▸30-day post-launch customer success and data migration support

Why this could work.

The 50-300 person market is underserved by card-linked expense solutions. Many companies have corporate cards but need reimbursement automation separate from card providers. Finance managers want AI-powered categorization without ripping out existing accounting software. Your GTM targets budget holders directly. 20 monthly demos with 10-15% conversion yields 2-3 customers monthly. This tier spends $4k yearly on finance tools and actively avoids spreadsheet work.

What you'd risk.

Ramp, Brex, and Divvy give free or bundled expense management with card products. Convincing companies to pay $400 monthly when free alternatives exist is difficult. A single sync bug to QuickBooks or Xero causes immediate customer churn because finance teams cannot tolerate incorrect accounting data. AI categorization is now table-stakes, not a defensible advantage. Sales cycles stall at IT and legal approval.

Who this fits.

This business suits a founder or operator with prior SaaS experience and credibility with finance teams. You need sales discipline for outbound email and LinkedIn prospecting. Technical depth is secondary to customer empathy and payment infrastructure knowledge. Best fit: ex-controller moving into software, former Expensify salesperson, or B2B SaaS operator entering enterprise finance.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive production codebase, customer outreach playbook, integration architecture docs
2. Week 1
   Deploy production infrastructure and complete Stripe billing setup
3. Week 3
   Receipt OCR and expense categorization pipeline operational with test data
4. Week 6
   QuickBooks and Xero sync live with monitoring and error recovery
5. Day 90
   3-5 paying customers in production, feedback system in place

Pricing.

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