Own AIOps.

What you'd own.

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

• ●Production-ready alert correlation engine with LLM topology learning capabilities.
• ●Outbound GTM playbook targeting SRE leaders at 100-500 person companies.
• ●30-day trial conversion framework including white-glove integration and onboarding.
• ●SRE community presence strategy for Slack and incident response subreddits.
• ●Pricing tiers and financial model with 36k-540k year one ARR projection.

What Roll Digital builds for you.

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

• ▸FastAPI backend with Postgres multi-tenancy for scalable alert aggregation.
• ▸SAML/SSO and role-based access control for IT approval and security.
• ▸Production integrations: Datadog, Prometheus, New Relic with secure API credential management.
• ▸Stripe billing with tiered subscriptions, invoicing, and trial-to-paid automation.
• ▸Alert correlation engine using LLM with topology-aware pattern recognition.
• ▸Trial onboarding: guided setup, real-time conversion tracking, 30-day success dashboards.
• ▸Audit logging and compliance reporting for enterprise SOC2 and HIPAA.

Why this could work.

The 30,000 US company TAM is concrete and measurable. SRE leaders genuinely experience alert fatigue as a career problem. Cold outbound to this buyer segment works. White-glove integration setup buys time to build the topology model that unlocks the AI value. If you can survive the 90-day cold-start window and close 3-5 pilots, year-one ARR of 150k-200k is attainable. The $6k annual market spend baseline is proven demand.

What you'd risk.

The cold-start correlation problem is real. Prospects churn during trials before seeing value because the LLM needs trained on their specific topology and noise patterns. Enterprise security reviews block API key access to monitoring stacks. IT teams won't approve SSO-less trials. Most critically, Datadog, Dynatrace, and PagerDuty are shipping native AI alert correlation. Your buyer story shifts from 'standalone innovation' to 'does this beat what we already pay for.' That's a harder pitch.

Who this fits.

An operator with 5+ years in DevOps, SRE, or incident management, or a SaaS founder who has closed enterprise deals. Ideally someone with existing relationships in the SRE community or a consulting practice that can white-glove integrate for early pilots. Solo founders without an SRE network will struggle with cold outbound. You need domain credibility to survive the cold-start problem and close pilots.

Timeline.

From contract signing to operating business.

1. Day 1
   Assets transfer: product code, GTM playbooks, brand, financial model.
2. Week 1
   Audit integrations and security requirements; build production deployment timeline.
3. Week 3
   Backend and RBAC deployed; Datadog and Prometheus integrations live.
4. Week 6
   Launch free trial; white-glove onboarding for first 3-5 customers.
5. Day 90
   Evaluate trial conversion rate, AI cold-start time, and TAM fit.

Pricing.

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