AI & knowledge
AI that talks like your team, and reads your docs.
Qualify visitors in real time, ground answers in sources you trust, and hand off to your team with full context when someone is ready to go further.
Conversations (AI)
Engage, qualify, and escalate, without a form wall.
A visitor leaves a high intent page, or the launcher opens, and the thread starts the way you would, short, human, in your language. The assistant holds the first minute so your team is not the bottleneck on every cold click.
Qualification is light, not a twenty field form: role, use case, region, and what they already tried, enough for a rep to pick up a warm handoff, not a blank lead. You define what “ready for sales” means, and which paths stay in product marketing or self serve.
When a human should step in, the conversation, page URL, and a short internal summary are visible in your existing tools, so the first rep reply is not “who are you again?”. The same design works with the major model families behind the assistant, the exact provider is a product and policy choice, not a fork in how you work.
- First message fast enough that a visitor does not reach for a tab in doubt
- A tone that matches your brand, and guardrails for pricing, health, and similar topics you flag
- Handoff to sales or success with thread plus page, campaign, and region context
- Plays the same on key landing pages, docs, and the pricing story you care about
Knowledge (RAG, docs)
Ground answers in what you already published.
The assistant can pull from what you already maintain, help center, product and API docs, security and DPA text, and approved snippets for pricing and packaging, so a visitor gets something closer to a trained answer, not a generic blurb. Retrieval means claims stay tied to your wording where that matters, with room for a short, friendly paraphrase in between.
You set how “creative” answers may be, from strict, doc only replies on sensitive topics, to a slightly more open tone on marketing copy, always within the boundaries you publish. You can use different model families in the same workspace when your policy or geography asks for it, for example OpenAI, Anthropic, or Google Gemini, depending on your contract and security review, without rebuilding your playbooks each time.
When the assistant does not find a solid answer, the behaviour is also yours, say a clear “we do not show that here, talk to the team” path, or a handoff, instead of a made up spec line.
- Sources you control, plus update rhythm that follows your own doc releases
- Optional citations, when that helps a technical or security reader trust the reply
- Defaults that fit B2B and long sales cycle conversations, not a consumer support bot in disguise
- Stricter “doc only” or regional modes when you need a hard bar for approval