Enterprise Knowledge Base: Your Answers, Loaded Into the Phone

The AI's answers are only as good as what it is allowed to say. The clawvs knowledge engine organises your company's material into a structured base that the phone retrieves from on every call and reply.

What Goes Into the Base

• Product documents — descriptions, usage notes and selling points in your agreed wording.
• Frequently asked questions — the questions customers actually ask, with the answers you approve.
• After-sales rules — warranty handling, returns steps and escalation paths, as policy rather than improvisation.
• Quotation talk tracks — how your team presents terms and answers commercial questions.
• Do-not-say lists — topics, claims and wording the AI must never use.
• Contact profiles — accumulated history and preferences per contact, feeding the memory described under voice dialogue.

How Answers Are Built

When a call or message arrives, the engine retrieves the relevant entries, injects them into the conversation context and the AI answers from that material. Change the base and every handset in the fleet answers the new way — a product update or a policy change is made once, centrally, instead of being re-briefed to every operator.

Why Buyers Ask About This

Distributors and enterprise buyers evaluating an AI phone usually ask the same question: who controls what the AI says? On the LXN Lobster AI Phone the answer is the buyer's own knowledge base, structured by category, with explicit exclusion lists. For OEM projects the base can be pre-built around an industry — see OEM & enterprise editions.

Data-handling arrangements — where deployment data is stored and how it is separated between customers — are confirmed in writing for each enterprise deployment.