Own Software for Agents.

What you'd own.

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

• ●Production codebase with agent framework, connectors, and deployment infrastructure
• ●Early customer list with 2-3 live contracts and references
• ●Proven LinkedIn GTM playbook with messaging and target list
• ●Financial model, metrics dashboard, and 12-month revenue projections
• ●Technical documentation and runbooks for agent reliability troubleshooting
• ●Brand positioning as reliability-focused solution for mid-market engineering
• ●30-day trial framework and customer onboarding process templates

What Roll Digital builds for you.

Custom scope to take Software for Agents from MVP shell to operating business.

• ▸Multi-tenant backend with API key management and access controls
• ▸Library of pre-built connectors for Zendesk, NetSuite, Salesforce, and Slack
• ▸Audit log system with full agent action replay for compliance
• ▸Stripe billing with trial provisioning, usage metering, and webhooks
• ▸Admin dashboard for monitoring agent reliability, latency, and error rates
• ▸Open-source SDK for TypeScript, Python, and Go with examples
• ▸Customer onboarding portal with sandbox environment and integration wizard
• ▸SLA enforcement tooling, alerting system, and incident response documentation

Why this could work.

The market is clear: 15,000 mid-market tech companies actively building AI workflows, each spending $8,000 annually on infrastructure tools. The GTM motion is surgical: proven LinkedIn outreach to VPs of Engineering at 100-500-person companies, reliability-focused product-market fit, and closing 6-10 deals per month at $700-1,200 MRR. A disciplined operator can build a $500k-$1M+ ARR business in 18-24 months if execution matches the playbook.

What you'd risk.

The core business faces existential headwinds. OpenAI, Anthropic, AWS, and Google are shipping native agent-to-software integration layers; your reliability differentiation could be commoditized within 12-18 months by vendors with 10x your distribution. Agent failures in customer production create immediate churn and reputation damage in tight developer communities. Each enterprise customer demands custom connectors (NetSuite, SAP, Zendesk), creating a maintenance treadmill that competes with feature development for engineering resources.

Who this fits.

This business suits an operator with SaaS sales experience targeting mid-market tech companies. Ideally someone with engineering credibility in AI, an existing network among CTOs and engineering leaders, and tolerance for the integration maintenance treadmill. Prior product-market fit success or enterprise sales leadership at B2B software companies preferred. Requires willingness to be a sales operator first.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive all IP, customer list, codebase, and GTM playbook handoff
2. Week 1
   Deploy production backend, run security audit, onboard engineering team
3. Week 3
   Launch LinkedIn outreach campaign, iterate demo for reliability messaging
4. Week 6
   Close first 1-2 customers, refine positioning based on buyer feedback
5. Day 90
   Three live customers, validated product roadmap, hire sales operator

Pricing.

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