Own Deal Profitability Scorer Ai.

What you'd own.

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

• ●LinkedIn and email GTM playbook proven to generate qualified demos
• ●Landing page, pitch deck, and sales collateral templates
• ●AI scoring engine MVP with training data and model weights
• ●Customer list from pilot phase with usage feedback documented
• ●Founder persona and verified outreach email and messaging sequences
• ●Year 1 financial model with customer acquisition cost projections
• ●Brand identity, positioning statement, and trademark documentation

What Roll Digital builds for you.

Custom scope to take Deal Profitability Scorer Ai from MVP shell to operating business.

• ▸Native HubSpot and Salesforce connectors for real-time deal data sync
• ▸FastAPI backend with PostgreSQL database for scoring logic and analytics
• ▸Stripe billing integration with three pricing tiers and usage metering
• ▸Customer onboarding wizard with cost structure templates and data validation
• ▸Admin dashboard showing customer metrics, usage, and churn signals
• ▸Customer success ticketing system and 30-day implementation support protocol
• ▸API documentation, webhook specifications, and developer integration examples

Why this could work.

The TAM is validated: 200k manufacturing and staffing SMBs already spend $400 yearly on deal analytics tooling. Your buyer is crystalline: VP Sales and Sales Ops who see margin blindness as a sales problem. The outbound GTM bypasses channel gatekeeping, and you have proof of concept: 20-25 demos per month at $49 closes. Most sales teams lack real-time deal profitability visibility, especially in low-margin industries where deal quality is existential.

What you'd risk.

CRM integration dependency is existential: without native HubSpot or Salesforce sync, reps default to manual entry, which collapses adoption within three months. Cost data chaos is structural: most SMBs have inconsistent cost accounting, so the AI becomes a manual form dependent on their hygiene. Your real competitor isn't other AI tools but existing spreadsheets and deal desk processes that are free and entrenched. Year 1 shows negative take-home (-$22,624), and only a 14% success probability accounts for these headwinds.

Who this fits.

You're a SaaS founder or agency owner comfortable with sales-driven GTM and SMB customer support. You have credibility in manufacturing, staffing, or consulting; ideally, you've worked in RevOps or sales operations. You can handle monthly customer onboarding, troubleshoot cost data imports, and keep customers through their first month. You're prepared for negative year-one burn and can sustain operation 12-18 months while proving unit economics work at scale.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive codebase, customer list, and playbook access; start CRM connector spec
2. Week 1
   First three demos from existing pipeline; HubSpot connector build begins
3. Week 3
   Salesforce connector launches; early customer onboarding begins; refine data import flow
4. Week 6
   Stripe billing live and tiered pricing active; support three paying customers
5. Day 90
   Fifteen to twenty paying customers; measure CRM sync adoption rates; plan expansion

Pricing.

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