Headless integration
Connect any web or mobile product through REST and structured SSE.
Solution pattern · SaaS & product teams
AI agents for SaaS and product teams
Add agent capabilities to the product you already have while keeping your frontend, auth, domain logic, model choices, and deployment strategy.
- AI agents for SaaS
- AI agent platform
- AI product integration
- enterprise AI agents
Where it can help
AI agents for SaaS: practical use cases
These are implementation patterns, not claims about unnamed customers. The exact scope depends on your systems, permissions, controls, and acceptance criteria.
Tenant-aware tools
Carry authorization and organization context into your domain APIs.
Choose the operating model
Use Cloud, self-host Community Edition, or ask SyntheticBrew to deliver the implementation.
Reference architecture
Secure AI agents: control at every boundary
SyntheticBrew handles reasoning and orchestration. Your application remains responsible for authentication, domain authorization, and the data or actions exposed through each tool.
- Your existing product frontend
- SyntheticBrew REST, SSE, sessions, and orchestration
- Knowledge, memory, and scoped MCP tools
- Your multi-tenant application services
Production controls included
- Per-agent tool and MCP server scoping.
- Forwarded JWT, organization, user, and tenant context.
- Confirmation gates before consequential actions.
- Structured events for progress, errors, and completion.
- Self-hosted or Cloud deployment with your choice of LLM.
Other solution patterns
More AI agent use cases
Choose how you want to ship.
Evaluate the workflow in Cloud, run the open-source engine on your infrastructure, or book your personal sales call for a delivered implementation.