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.

Headless integration

Connect any web or mobile product through REST and structured SSE.

Tenant-aware tools

Carry authorization and organization context into your domain APIs.

Choose the operating model

Build it yourself on Cloud, 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.
  • Your choice of LLM provider on your own API keys.

Choose how you want to ship.

Evaluate the workflow in Cloud on the free plan, or book your personal sales call for a delivered implementation.