Grounded answers
Retrieve from approved product, policy, and troubleshooting knowledge before responding.
Solution pattern · Customer service
AI agents for customer service that can do more than answer
Combine grounded answers, session memory, support-system tools, and clear confirmation or escalation points in one service experience.
- AI agents for customer service
- AI customer support agent
- customer service automation
Where it can help
AI agents for customer service: practical use cases
These are implementation patterns, not claims about unnamed customers. The exact scope depends on your systems, permissions, controls, and acceptance criteria.
Account-aware help
Call scoped MCP tools with the customer’s authenticated context to look up relevant records.
Safe resolution
Require confirmation for refunds, cancellations, or changes, and route exceptions to a person.
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 support UI or SyntheticBrew widget
- SyntheticBrew agent runtime and session memory
- Knowledge base plus scoped MCP support tools
- Your CRM, ticketing, and account APIs
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.