Knowledge
Answers grounded in your documents, not the model’s imagination
Upload your policy wordings, endorsements, claims procedures and FAQs. Point it at a URL. Every answer the agent gives is retrieved from those documents and cites the one it came from.
What you get
How it works
Cited, every time
Each answer names the document and section it came from. Your compliance team can audit a conversation without taking anyone’s word for it.
Multi-stage, not one prompt
Understand the intent, retrieve the relevant passages, generate the answer, then validate it against what was retrieved. The validation step is what keeps accuracy defensible.
Ingest what you already have
PDF, DOCX, spreadsheets, or a URL to crawl. No one is rewriting the policy wording into a bot script.
Improves from real conversations
Where answers were weak, Heard surfaces the gap and suggests the knowledge that would have closed it.
Questions
Frequently asked
How do you stop the AI making things up?
Answers are retrieved from your documents before they are generated, then validated against what was retrieved. When the knowledge base cannot support an answer, the agent says so and escalates rather than guessing.
What file types can I upload?
PDF, DOCX and plain text, plus URL crawling for anything already published on your site.
Explore
The rest of the platform
Voice agents
No IVR trees. No hold music. A caller explains what happened in their own words, and the agent takes it from there — verifying the policy, opening the claim, and booking the assessor before they hang up.
Learn moreChat agents
Not a separate bot per channel. One agent, one knowledge base, one set of conversation logic — reachable from an embed script on your site, a WhatsApp number, or a support inbox.
Learn moreFlow editor
Drag nodes onto a canvas, connect them, and watch data move through your workflow node by node. The ops lead who owns the process owns the flow — no engineering ticket, no release train.
Learn moreSee Heard on your own calls
A 30-minute call. Bring a recording of a real customer conversation and we will show you what the agent does with it.