Build AI assistants with a no-code agent builder where you define the knowledge sources, tools, actions, and behavior for each assistant — so it doesn't just retrieve information but actually executes workflows, collects structured data, and follows your business logic.
Most chatbots are one-dimensional — they search your knowledge base and return an article. That handles maybe 30% of what users actually need. The other 70% involves doing something: submitting a request, qualifying a lead, collecting information for a specific process, routing an issue to the right team with the right context. When the chatbot can only answer questions, every action still requires a form, a phone call, or a ticket. You've added a layer without removing any work.
MatrixFlows AI assistants are built around three things: what it knows, how it behaves, and what it can do. You pick the knowledge sources — so a support assistant only sees support content, not your entire database. You write instructions in plain language — tone, guardrails, escalation rules, process logic. And you give it tools — create a submission, trigger a workflow, collect structured data through conversation, call an API, route to the right team with context attached. A support assistant that collects issue details and creates a routed case. A sales assistant that qualifies and books. An onboarding assistant that walks users through setup. Each one configured separately, no code, all grounded in your actual content.