How Monte works.
Your agent still writes the answer. Monte checks whether the answer is safe to show, before it reaches a user.
Your agent writes an answer.
A user asks a question in your product. Your agent writes an answer. Before that answer reaches the user, your product hands it to Monte.
Your product sends Monte the answer.
Three things go in: the user's question, the agent's answer, and the source text or data the answer should be based on.
Monte checks the answer.
Monte looks for claims that are not supported, numbers that do not match, missing proof, risky statements, and answers that should go to a human.
Monte returns a result.
A clear, structured response your product can act on. Confidence, risk level, flagged claims, and a recommended action.
Your product decides what to do.
You set the rules. Monte gives your product the signal it needs.
Where Monte fits.
Monte sits between your agent and your users. It does not replace your model. It checks the answer your model already wrote.
Three ways to use Monte.
What Monte is best for.
Monte works best when an agent answer should be grounded in something real.
- Help docs
- Company policies
- Product data
- Account data
- Support articles
- Internal knowledge
- Retrieved sources
- Support replies
- Agent summaries
- RAG answers
- Agent copilots
- Customer-facing chatbots
Not a new agent or model. Not a chatbot. Not a replacement for your product. Monte checks the answer before your product shows it. That is the whole job.
Stop bad answers.
Monte checks every reply your agent writes and flags what isn't supported, before a user ever sees it.