Own Support Agent Guard.

What you'd own.

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

• ●Support Agent Guard brand identity and core positioning narrative
• ●Production-ready landing page with lead capture and email funnel
• ●Agent policy enforcement architecture and design specifications
• ●Outbound GTM playbook targeting Series B-D SaaS CX leads
• ●Three-year financial model with CAC, LTV, and ARR targets
• ●Customer success framework and post-sale expansion playbook
• ●Integration architecture for Zendesk, Intercom, and custom AI agents

What Roll Digital builds for you.

Custom scope to take Support Agent Guard from MVP shell to operating business.

• ▸Multi-tenant SaaS backend that evaluates AI responses against customer-defined policies
• ▸Real-time policy rule engine with condition-based decision logic
• ▸Zendesk and Intercom integrations that intercept outbound AI messages
• ▸Admin dashboard for creating policies, reviewing violations, managing teams
• ▸Stripe billing implementation supporting monthly and annual subscription tiers
• ▸Audit trail and incident logging for compliance and customer reviews
• ▸Customer onboarding flow and API documentation for custom agents
• ▸Monitoring, alerting, and SLA-based customer success support framework

Why this could work.

The market is measurable: 15,000 SaaS companies with deployed AI agents. The pain is acute: rogue AI decisions cause refunds, policy violations, and PR damage. Existing platforms like Zendesk and Intercom lack native guardrails, so customers ship workarounds and manual reviews. Your GTM motion works: three $300/month closes from Series B-D outbound prove product-market fit in the specific buyer segment. The window is small, but early traction suggests you can close faster than competition builds.

What you'd risk.

The largest risk is speed: Intercom, Zendesk, and Freshdesk could ship native policy enforcement in 12-18 months, commoditizing your core product before you scale. Pipeline is cold until a customer's AI agent makes a public mistake. Even closed customers churn instantly if they switch AI platforms or support tools, and there's no switching cost holding them. Integration maintenance scales with customer count but doesn't generate differentiation.

Who this fits.

You've run customer success or AI operations at a Series A-C SaaS and have a list of Series B-D CX leads. You understand the pain of rogue AI agents. You're either a solo operator willing to partner with a technical cofounder, or an ex-CX/AI ops leader transitioning to founder. You can close deals but need the product and infrastructure built. You have 12-18 months of cash runway.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive codebase, GTM playbook, landing page, financial model
2. Week 1
   Scope backend architecture, integration requirements, and production roadmap
3. Week 3
   Deploy staging environment with policy engine and Zendesk integration
4. Week 6
   Live beta with first customer, gather feedback, refine policies
5. Day 90
   Production-ready SaaS with billing, 2-3 paying customers, audit trail

Pricing.

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