Own Auto-AI.

What you'd own.

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

• ●Cold outbound playbook: Google Maps shop lists plus Google Ads targeting strategy and copy
• ●Auto-AI brand identity, positioning, and founder persona operating approach documentation
• ●Proven GTM channels: SEMA and AAPEX trade shows, local Facebook groups, regional networks
• ●Financial model with $36k-$420k Year 1 ARR range and unit economics breakdown
• ●MVP codebase with core AI diagnostics engine and shop integration hooks
• ●Customer acquisition data and messaging validation from initial pilots and testing

What Roll Digital builds for you.

Custom scope to take Auto-AI from MVP shell to operating business.

• ▸Production backend with FastAPI and PostgreSQL, ready for reliability and scale
• ▸Stripe billing setup: one pricing tier, subscription management, failure recovery
• ▸Simplified onboarding for non-technical shop owners: API key setup, first diagnostic
• ▸Tekmetric and Mitchell1 API integrations to auto-ingest shop data
• ▸Terms of service and liability documentation addressing AI recommendation disclaimers
• ▸Customer success playbook: technical onboarding, diagnostic accuracy tuning, churn prevention
• ▸Real-time quality dashboard: AI confidence scoring, error flagging, human review workflow
• ▸Admin panel for customer management, customer support escalation, and account suspension

Why this could work.

The TAM is massive: 280k US shops spending on average $1.2k/year on AI tools. The GTM is proven to generate 15-20 demos monthly from cold outbound, converting 3-4 customers. The barrier for competing incumbents is their resistance to disruption. A focused operator can reach $144k Year 1 ARR by executing the playbook. Early success isn't dependent on technology innovation, just disciplined sales execution in a fragmented market.

What you'd risk.

Auto repair shop owners are notoriously tech-resistant and price-sensitive. CAC is high because friction comes early. If churn spikes on first friction, Year 1 profitability drops rapidly. AI liability is existential: one bad diagnosis recommendation that leads to vehicle failure ends the business. Integration with dominant platforms (Tekmetric, Mitchell1) isn't guaranteed. The market is fragmented but consolidating. Success probability is 15%.

Who this fits.

Best fit: an existing agency owner or solo founder with pre-existing relationships in automotive or trades. Or someone with direct auto shop experience. This isn't for first-time SaaS founders unfamiliar with B2B SMB sales. You need comfort with high-touch outbound, tolerance for tech resistance, and ability to handle multi-month sales cycles. Ideally someone already credible in the shop owner community.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive brand, codebase, GTM playbook, financial model, and Stripe test account
2. Week 1
   Deploy production backend, configure billing, draft onboarding sequence, begin testing
3. Week 3
   Complete Tekmetric API integration, finalize liability terms, run internal QA
4. Week 6
   Launch first cold outbound campaign, validate $99 messaging, collect customer feedback
5. Day 90
   Evaluate Year 1 ARR trajectory, decide on platform expansion or pivot

Pricing.

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