Most AI tools won't pull real-time data from your internal docs. They can't connect to support tickets. Previous customer conversations? They forget them. API calls to resolve issues? Not happening. Twig AI builds infrastructure that turns AI from a chatbot into an agent—one that knows your company's knowledge base and takes action.
You get over 30 data connectors. They hook into everything from Zendesk to Snowflake. Authentication retries? Handled. Data load tracking? Built in. No manual syncing headaches. A support engineer can deploy an agent that pulls from Confluence docs, checks customer records in Salesforce, and creates Jira tickets. No integration code from scratch required.
The RAG backend sets this apart from plugin libraries or simple API wrappers. Smart chunking breaks documents into usable pieces. PII screening keeps sensitive data out. You can test 21 different RAG strategies through playbook builders—before shipping anything to customers.
Deployment options cover most use cases: REST API for developers, browser extensions for support teams, email integration, an in-app plugin. There's an agent studio where internal users can tweak responses without bothering engineering. The MCP interface lets you connect to Claude and other models that support the protocol.
The free plan gets you started. The evaluations workflow helps catch hallucinations before customers see them. Over 1,200 support agents already use it. You'll still need engineering time to set everything up properly though. This isn't a no-code solution (despite the studio interface).
