
AI Solutions That Do Real Work Inside Salesforce. And Beyond It.
Borrow the expertise, build the asset. Cirrius designs, builds, and hands over production AI agents your team owns and runs. Agentforce first, with custom Claude and OpenAI agents where the workload calls for them.
- Production agents, not pilots that stall after the executive briefing
- Built on the Salesforce data and security model you already trust
- Your team owns the code, the permission model, and the plan on day one
Proof, Not Promises
Seventeen years of Salesforce delivery, and the last two spent running our own company on AI agents wired to our own Salesforce org.
Agentforce First. Custom Agents Where They Fit.
Most enterprise AI work belongs on Agentforce. It sits on your Salesforce data, inherits your sharing model, and your admins already know how to run it. That is where we start every conversation.
Some workloads reach outside Salesforce: document-heavy research, cross-system orchestration, an executive’s inbox and calendar, a model that needs to be chosen by fit rather than by default. For those we build custom Claude and OpenAI agents that connect back into Salesforce through MCP servers, so Agentforce and the custom agent work as one team.
Either way the pattern is the same. We scope one pilot cohort, set priorities and capacity with you up front, and ship an asset you own.
Choose Your Starting Point
Nine ways in. Every one ends with something in production and a team that can run it without us.
How We Deliver
Most engagements reach a Production Readiness checkpoint at Day 30 and a live agent your team owns by Day 90. Priorities and capacity are set with you up front so the pilot cohort stays deliberately small.
Scope and Architecture
Pick the one workflow that moves a number. Choose Agentforce, Claude, or OpenAI by fit. Write the success metric, the owner, and the permission model down before any build starts.
Build and Secure
Production code on your infrastructure. Threat modeling, data classification, audit logging, and human-in-the-loop policy run alongside the build, not after it.
Hand Over and Run
Your team learns the agent and its failure modes. You leave with the code, the runbook, and the plan for the next cohort. We stay on only if you want us to.
Start With a Complimentary Workshop
Two hours with the people who build this every day. You leave with a written plan for one agent, the permission model it needs, and an honest read on whether it belongs on Agentforce or a custom stack.
Prefer a Claude-first conversation? Start with the Claudeforce readiness assessment.