Own StaffingAI.

What you'd own.

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

• ●Landing page, cold outreach email and LinkedIn templates, 30-day pilot framework
• ●AI agent design spec with shift-filling and no-show prediction algorithms
• ●StaffingAI brand identity, positioning, and target customer persona documentation
• ●Year 1 financial model and customer acquisition unit economics
• ●Early customer conversations, agency feedback, and TAM validation research
• ●MVP codebase outline and compliance automation framework template
• ●Initial target account list of 50-500 worker agencies

What Roll Digital builds for you.

Custom scope to take StaffingAI from MVP shell to operating business.

• ▸Production backend on Python and FastAPI with Postgres database
• ▸Worker and agency dashboards with real-time shift assignment
• ▸Compliance document auto-generation with validation and legal review framework
• ▸No-show prediction model trained on historical agency worker data
• ▸Integration layer for existing staffing ATS and scheduling platforms
• ▸Multi-tenant auth with agency admin controls and worker login
• ▸SMS and email notification system for shift updates and alerts
• ▸Stripe subscription billing for agency tier pricing model

Why this could work.

StaffingAI targets a 25.5k-agency TAM where shift-filling and compliance automation directly address ops directors' most painful daily tasks. The 30-day pilot model on a single shift type lowers buyer friction and creates clear ROI proof. Healthcare and hospitality agencies face chronic worker shortages, making no-show prediction and rapid re-staffing valuable. If adoption exceeds 3-5% of the addressable market, unit economics become sustainable.

What you'd risk.

Staffing ops staff have trusted relationships with dispatchers and will resist AI that threatens their roles. Compliance document automation carries existential legal risk: a single botched I-9 or W-4 can trigger fines and destroy referral relationships instantly. No-show prediction requires 200+ worker historical profiles, which limits the real TAM to larger shops already using enterprise tools. At 13% success probability, this requires exceptional execution and market timing to win.

Who this fits.

Ideal buyer is a staffing or HR tech insider: former agency ops director, industry consultant, or tech founder with existing agency relationships. You understand compliance complexity, can overcome ops staff resistance, and execute B2B cold outreach. First-time SaaS founders without agency experience will struggle. You must tolerate $38k year 1 loss and commit to execution through profitability.

Timeline.

From contract signing to operating business.

1. Day 1
   Roll Digital onboards, accesses all product assets, begins production roadmap
2. Week 1
   MVP deployed to staging, Postgres and FastAPI infrastructure live
3. Week 3
   Private pilot with first agency on single shift-type, data collection begins
4. Week 6
   Compliance automation module tested, feedback gathered, roadmap adjusted
5. Day 90
   GTM launch with cold outreach campaigns, first sales live

Pricing.

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