Best for
Businesses whose website or business card traffic drops off because there is no immediate way to get a real answer, and who want a low-friction first touchpoint without a person on standby.
Live example
AI Assistant for Website and Business Card Leads
Answers questions about the business, explains the offer, and hands qualified prospects to a follow-up form in the moment. This is the exact assistant answering questions at kinact.ai/ask right now.
How it works best
It answers from a curated, public-safe knowledge base. Pricing and contract detail go to a person, and the chat keeps personal details out of the conversation.
The manual workflow
A prospect scans a QR code or lands on the site with a question. If nobody is available to answer straight away, they either wait for an email reply or lose interest and move on. Every question, however small, needs a person's time.
The AI-assisted workflow
An AI assistant answers immediately from a curated knowledge base, in the business's own voice, with clear boundaries around what it should say. When a conversation needs a person, it hands off to a follow-up form or email.
Reviewed output
What the human gets back.
Qualified follow-up submissions through the on-page form, including name, email, and the workflow or problem raised; chat conversations are reviewed afterwards to see what real visitors are actually asking, which feeds directly back into improving the knowledge base.
Human approval
AI can explain, answer, and qualify. It never collects personal details in the chat itself, never invents pricing or guarantees, and always hands genuinely commercial decisions to a person.
Self-improving
Real questions get reviewed afterwards, not to identify who asked them, but to see what people actually want to know. That review shapes what gets added to the knowledge base, so the assistant keeps getting sharper on the questions real visitors ask, not just the ones expected at launch.
30-day pilot shape
The same shape as every KinAct AI pilot.
- Week 1: Define what the assistant needs to know, confidently and honestly, and exactly where it should hand off to a person
- Week 2: Build a first working version connected to a real model, answering from that knowledge
- Week 3: Test it against real questions, tighten the guardrails, and fix anything that reads wrong
- Week 4: Deploy it live, with a clear escalation path and no black box
See it for yourself