Own Architecture Guard.

What you'd own.

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

• ●Brand identity, positioning, and architectural compliance messaging framework
• ●Production-ready landing page and marketing site with audience research
• ●GTM playbook: GitHub presence strategy, HackerNews positioning, community outreach
• ●Financial model and customer acquisition metrics from founder testing
• ●Product roadmap mapping framework integrations and compliance features
• ●Founder persona and early sales discovery notes from demos
• ●MVP codebase and initial agent monitoring implementation

What Roll Digital builds for you.

Custom scope to take Architecture Guard from MVP shell to operating business.

• ▸Production backend API on FastAPI with Postgres and full test coverage
• ▸Multi-tenant architecture with isolated agent analysis and compliance tracking
• ▸SDK/package integrations for LangGraph, AutoGen, CrewAI, and Semantic Kernel
• ▸Real-time architectural drift detection and alerting with compliance rule engine
• ▸Stripe billing implementation supporting free tier and three pricing bands
• ▸Email and Google OAuth authentication with multi-tenant user management
• ▸Comprehensive API documentation and integration guides for tier-1 frameworks
• ▸30-day customer success support to land and expand initial cohort

Why this could work.

Five thousand companies globally are actively building multi-agent AI systems with recurring governance spend budgets today. Your go-to-market has been validated: free tier conversions to paid demos at 12-15 monthly, with average customer value of $600-1000. The beachhead is developers and engineering teams already paying for observability. Architectural compliance will be table-stakes within 18 months as systems scale and fail.

What you'd risk.

Most AI teams today still operate in build-and-break mode, and architectural drift as a named, paid-for problem is not yet universally felt or budgeted for. Framework consolidation could devalue months of integration work overnight. Cloud platforms are bundling governance features for free, and each sales cycle demands 30 minutes of category education before demo. Year 1 projects a loss despite modest top-line growth.

Who this fits.

An engineer-founder with existing SaaS experience and credibility in AI communities. You should have hands-on familiarity with LangGraph or multi-agent frameworks, or willingness to immerse. You thrive in developer-led sales and can sustain the category education phase. You need capital runway to survive year 1 losses and patience for governance adoption to crystallize.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive codebase, GTM playbook, and customer outreach materials
2. Week 1
   Production deployment complete and founder transition meeting scheduled
3. Week 3
   First two customers onboarded and initial compliance data captured
4. Week 6
   Retention and churn metrics available from early cohort
5. Day 90
   3-4 paid customers generating $2400-4000 monthly recurring revenue

Pricing.

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