Own RFP AI.

What you'd own.

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

• ●Brand identity, tagline, and market positioning in proposal software
• ●Landing page, website, and GTM content assets
• ●LinkedIn outreach playbook: prospect targeting, demo script, close process
• ●3-6 paying customers with monthly contracts and usage patterns
• ●Financial model, pricing strategy ($80-120 MRR), and TAM analysis
• ●MVP codebase, tech stack, and product roadmap

What Roll Digital builds for you.

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

• ▸Multi-tenant SaaS platform with Postgres backend and document storage
• ▸RFP ingestion engine supporting SAM.gov, Jaggaer, Ariba, email formats
• ▸AI-powered response drafting using Claude API integration and iteration
• ▸User authentication with email, Google, and SSO support
• ▸Stripe payment processing, billing management, and three pricing tiers
• ▸Customer onboarding flows, success playbooks, and retention documentation
• ▸Production monitoring, observability dashboards, and customer support workflows

Why this could work.

The GTM is proving at 35 demos and 5-6 closes monthly. Your TAM spans 150,000 proposal teams across US, UK, AU, CA with demonstrated willingness to pay $4,000 yearly for better RFP handling. Buyer acquisition via LinkedIn outreach is repeatable and scalable, requiring no viral component. The pain is acute: RFP response cycles consume 40+ hours per deal cycle.

What you'd risk.

RFPIO and Loopio own the space with locked-in customers and multi-year proprietary data. Document parsing across inconsistent portals is fragile. One broken parse on a live bid causes immediate churn and reputation damage. Government contractors, your best buyers at $10k+ ARR, need FedRAMP compliance costing $150k+. Only 15% probability of meaningful success. Year 1 shows negative take-home despite $120k mid-range ARR.

Who this fits.

You should be a GTM-first operator comfortable with SaaS sales, ideally with existing proposal management or B2B software experience. Strong customer success discipline is critical. One bad parse destroys trust. Ideally you have a network in proposal teams or can commit to 20+ cold outreach weekly. Technical cofounder or hiring budget ($40k) is essential to move from MVP to production-grade.

Timeline.

From contract signing to operating business.

1. Day 1
   Assume customer relationships and operations, access existing customer data
2. Week 1
   Provision production infrastructure and database, migrate existing customers
3. Week 3
   Launch production version with core RFP parsing and AI drafting
4. Week 6
   Begin customer migrations to production, onboard first new customers
5. Day 90
   Full ownership transition, 8-10 customers on production platform

Pricing.

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