Own Capacity Planner AI.

What you'd own.

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

• ●AI capacity forecasting model with accuracy benchmarks against live projects
• ●Landing page, outbound sequence templates, and founder GTM playbook
• ●Integrations: Jira, ClickUp, Harvest, Asana for real-time capacity data
• ●Pricing tiers and financial model showing $85k year-one ARR
• ●Customer onboarding materials and success metrics framework for agency ops
• ●LinkedIn lead list and outbound campaign reaching 500 target COOs

What Roll Digital builds for you.

Custom scope to take Capacity Planner AI from MVP shell to operating business.

• ▸Production backend on FastAPI with Postgres for multi-tenant architecture
• ▸Integrations: OAuth connectors to Jira, ClickUp, Harvest, Asana for live sync
• ▸Stripe billing integration for three pricing tiers with usage metering
• ▸Frontend dashboard showing capacity forecasts with confidence intervals and alerts
• ▸Email and Google OAuth authentication with role-based access control
• ▸API endpoints for capacity queries, team data, and project imports
• ▸Email notifications when forecast confidence drops or capacity breach predicted
• ▸Customer success dashboard tracking adoption and forecast accuracy per account

Why this could work.

The GTM is proven: outbound to COOs and ops managers in 20-100 person agencies produces 25 demos and 4 closes per month at $175-250/month. The pain is acute: spreadsheet-based capacity planning is the bottleneck when projects slip. The TAM is large: 75k US professional services firms spend $1,600 yearly on workforce tools. If forecast accuracy holds and churn stays under 5% monthly, unit economics support $85k+ ARR by year-end.

What you'd risk.

Spreadsheet inertia is lethal. Most agencies 'solve' capacity planning with a shared Google Sheet and weekly standup, and they won't pay $200/month unless a crisis just bit them. Integration tax is real: each new Jira or Harvest variant costs dev time with no clear end. Forecast accuracy is load-bearing: AI predictions off by 20% and customers churn within 90 days. The 12% success probability reflects these execution risks.

Who this fits.

An ops-savvy founder or agency operator with existing network in professional services. You must understand integration challenges and be capable of running lean ops. You should have sold to ops leaders before or have access to 10+ warm intros monthly. Solo founders or small co-founder teams best positioned for execution.

Timeline.

From contract signing to operating business.

1. Day 1
   Own codebase, customer list, integrations stack, GTM playbook, financial model
2. Week 1
   Deploy on production infrastructure with custom domain and Stripe billing
3. Week 3
   Migrate 3 existing customers, launch first cold outbound campaign sequence
4. Week 6
   Validate forecast accuracy with live project data across all integrations
5. Day 90
   Target: 10 customers, 85% forecast accuracy, $5-8k MRR run-rate

Pricing.

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