Answers grounded in your business. Context that carries forward.
Connect the information agents need to answer accurately and the context they need to continue a customer relationship. Keep business knowledge, structured records and conversation memory under organization-level control.
A caller gets a sourced answer and a relevant next step without starting from scratch.
Answers with a source. Memory with boundaries.
Bring the right sources
Make approved business information usable inside a live conversation.
- Upload knowledge and manage the collections each agent can access.
- Connect Notion, Drive and Confluence knowledge sources.
- Use structured agent tables alongside documents, images and tables.
Find the relevant answer
Retrieve evidence before turning it into a spoken response.
- Combine keyword and semantic search for different question styles.
- Rerank retrieved material to improve the context passed to the agent.
- Track citations and evaluate retrieval quality with your own questions.
Remember with purpose
Control how much previous interaction informs the next conversation.
- Keep in-call history and summarize long exchanges.
- Continue across calls using phone or email context where configured.
- Apply tenant isolation and retention choices to knowledge and memory.
From a conversation
to a completed task.
Connect the steps that make the outcome possible.
- 01
Choose authoritative sources
Identify the policies, guides and records the agent should rely on.
- 02
Scope access
Assign relevant knowledge and decide which conversation context may persist.
- 03
Test retrieval
Ask ambiguous and specific questions, then inspect the evidence behind answers.
- 04
Improve the source
Use conversation search and evaluation to find gaps in business knowledge.
Make it useful
in your business.
Start with a specific conversation, connect the right systems, and define what a successful outcome looks like.
A support agent that explains the right policy with source context.
A returning customer continuing an earlier inquiry.
An internal voice assistant over approved operational knowledge.
What is the difference between knowledge and memory?
Knowledge is the business information an agent retrieves, such as policies and service guides. Memory is context from conversations. Configure them separately so prior customer interactions do not become general business facts.
How can I check why an agent answered that way?
Use retrieval citations and conversation inspection to examine the source context. Evaluate representative questions to find missing, outdated or poorly retrieved material.
Can different clients share the platform safely?
Knowledge and retrieval are tenant-isolated. Agencies and enterprise teams can keep client information in separate organizations while configuring the sources available to each agent.
Keep exploring.
Give your agent a job. Then teach it how to finish.
Build an AI agent around an outcome: qualify an inquiry, resolve a question, book an appointment or route a caller. Bring its behavior, knowledge, actions and voice together in one place.
Explore productCustomer supportResolve the question. Preserve the relationship.
Give customers answers grounded in your knowledge and actions connected to your systems. When a conversation needs judgment, hand it to a person with the issue, attempted steps, and customer context intact.
Explore solutionsSecurity & ControlGive every conversation clear boundaries.
Control who can operate agents, what data they use, where workloads run and how information is retained. Bring enterprise governance into everyday voice workflows with organization-level policy and traceable actions.
Explore productGive every conversation
somewhere better to go.
Start with one agent. Build an operation around what works.