Own Restaurant AI.

What you'd own.

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

• ●Brand identity, positioning, and restaurant owner messaging frameworks
• ●60-day free trial GTM playbook and distributor partnership model
• ●AI agent specifications for scheduling, menu engineering, and vendor optimization
• ●Financial model with unit economics and 500k TAM analysis
• ●Landing page, case study templates, and demo scripts
• ●Customer success playbook and retention mechanisms

What Roll Digital builds for you.

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

• ▸POS integrations for Toast, Square, and Clover with real-time data sync
• ▸Multi-tenant SaaS backend on FastAPI with Postgres and Redis
• ▸AI agents for shift scheduling, menu margin optimization, and vendor RFQ automation
• ▸Stripe billing with monthly subscription and trial-to-paid conversion workflows
• ▸Restaurant metrics dashboard showing labor cost savings and margin improvements
• ▸OAuth authentication with email/Google sign-in and 60-day trial automation
• ▸Production health monitoring, alerting, incident response infrastructure, and uptime SLAs
• ▸Initial 30-day post-launch customer success support and onboarding coaching

Why this could work.

The TAM is substantial: 500k independent US restaurants spend $1,500 yearly on AI tooling. The GTM is field-proven: distributor partnerships reach restaurant owners with credible 60-day trials. The pain points are real: scheduling, inventory, and vendor negotiation consume 15+ hours weekly. Pricing is rational at $99-149 monthly, roughly 8-10% of labor savings. Network effects compound as demo wins spread through local partner ecosystems.

What you'd risk.

POS integrations are expensive, brittle, and each platform evolves independently, requiring continuous engineering. Your customer base is literally dying: 60%+ of independent restaurants fail in year one, meaning churn includes permanent business closure, not just cancellation. Owner attention is scarce during service hours. Use-case ambiguity kills demos when owners can't pinpoint what problem gets solved. The 14% success probability reflects these structural constraints, not just execution risk.

Who this fits.

You're likely an operator with existing restaurant industry relationships: former chef, POS consultant, or food service professional. You've built or scaled a B2B SaaS product and understand customer acquisition mechanics. You can allocate 20+ hours weekly to ground sales during launch. You have capital to fund POS integration work and tolerate 6-12 months of subsistence margins while proving unit economics with early adopters.

Timeline.

From contract signing to operating business.

1. Day 1
   Transfer IP, documentation, access to systems and partnerships
2. Week 1
   Deploy production infrastructure and begin POS integration development
3. Week 3
   Complete Toast and Square POS integrations, onboard beta customers
4. Week 6
   AI agents live in production with 5-10 active restaurants
5. Day 90
   First trial cohort completes, assess conversion rates and retention signals

Pricing.

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