Own Customer Support AI.

What you'd own.

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

• ●Landing page, brand identity, and email outreach templates
• ●Cold email GTM playbook with campaign conversion data
• ●LLM agent prompt engineering and design documentation
• ●Customer validation data from initial founder demos
• ●Financial model with unit economics and forecasts
• ●Initial customer relationships and sales pipeline
• ●Product roadmap and feature prioritization framework

What Roll Digital builds for you.

Custom scope to take Customer Support AI from MVP shell to operating business.

• ▸Production FastAPI backend with PostgreSQL and Stripe integration
• ▸Multi-tenant auth with email and Google single sign-on
• ▸Customer dashboard for managing AI responses and support tickets
• ▸LLM orchestration with token metering and cost tracking
• ▸Email and Slack connectors for incoming customer queries
• ▸Admin controls for prompt tuning and hallucination prevention
• ▸Rate limiting and billing across three subscription tiers
• ▸30-day customer success program with daily onboarding standups

Why this could work.

The TAM is substantial: 140k SMBs spend roughly $2k annually on customer support software. Cold email GTM shows validation with 20 demos monthly and 3-4 converts, indicating product-market fit in your addressable segment. Most AI support solutions target enterprise or require complex integrations, leaving price-sensitive SMBs underserved. The $150 MRR price point aligns with existing CS budgets, reducing adoption friction.

What you'd risk.

Forty-eight percent of comparable businesses fail. The competition is entrenched: 20+ VC-backed incumbents already own this category with brand trust and deep integrations. Token economics create a margin trap where your best customers (high-volume) consume the most tokens yet are most price-sensitive, making unit economics negative. AI hallucinations on policy or pricing generate chargebacks and scathing reviews, tanking NRR before you can recover.

Who this fits.

This fits an operator with GTM experience in B2B SaaS or ecommerce, ideally someone with a warm audience in those niches. You should be comfortable iterating on LLM prompts and managing support quality. Risk tolerance matters: the business has a 12% success probability and loses money in year 1. Best suited for solo founders or small teams who can execute quickly and pivot if needed.

Timeline.

From contract signing to operating business.

1. Day 1
   Own landing page, email playbook, agent models, financial model
2. Week 1
   FastAPI backend deployed to staging with test database
3. Week 3
   First customer onboarded; collecting LLM performance and cost data
4. Week 6
   Stripe billing live with rate limits; customer dashboard operational
5. Day 90
   Launch to production; first paying customers generating revenue

Pricing.

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