Scoped AI chat layer
EVA Chat is EVAVO's controlled website assistant layer. It is intentionally smaller than Support Agent System: best for FAQs, brand-aware answers, lead routing and simple human handoff before a business needs tickets, case tracking or complaint workflows.
Scope
EVA Chat is the lightweight website assistant layer. It is for FAQs, routing, lead capture and simple handoff, not full ticket management.
- Website answers
- Lead routing
- Simple human handoff
Knowledge
A good assistant needs a controlled brain: selected pages, supplied notes, FAQs, policies and clear answer boundaries.
- Approved source content
- Cached website knowledge
- No loose web guessing
Tone
The chat should sound like the business. Not a generic AI voice, not a support script, and not a brochure pretending to be useful.
- Human phrasing
- Brand-specific answers
- No AI filler
Control
The system should know when to answer, when to ask a scoping question, and when to hand off to a human.
- Fallback rules
- Usage caps
- Safe handoff paths
This demo uses the same direction we recommend for clients: scoped knowledge, practical prompts, clean handoff behaviour and public usage caps. Production versions can be tuned to a client's services, policies, documents, products and preferred tone of voice.
The public demo is intentionally capped. Client versions can use stronger model choices, deeper knowledge and tighter workflows depending on risk, traffic and budget.
EVA Chat questions
Is EVA Chat just a generic AI chatbot+
No. The useful version is a crafted website assistant: scoped knowledge, controlled tone, usage limits, fallback rules and a clear handoff path. The model matters, but the system around it matters more.
How is EVA Chat different from Support Agent System+
EVA Chat is the smaller website assistant layer for FAQs, routing and lead capture. Support Agent System is the larger support workflow product for complaints, tickets, issue tracking, follow-up and case handoff.
Can it sound like our business+
Yes. The assistant can be shaped around a voice guide, banned phrases, preferred answer patterns and real examples of how the business speaks. That is what keeps it human instead of AI-generic.
Can it be limited to our own content+
Yes. A production build can use selected pages, FAQs, policy notes, product/service details and supplied documents, with rules for what the assistant should not answer.
How do you stop it inventing prices or policies+
By separating known facts from unknowns. If a price, policy, guarantee or legal/compliance detail is not in the approved source content, the assistant should say so and route the user to the right human path.
Can EVAVO build this for clients+
Yes. EVAVO can plan, design and build the chatbot layer: content structure, prompt system, web integration, backend worker, safety rules, analytics, handoff path and ongoing improvement.
Human-feeling answers shaped around the brand, not default model behaviour
Practical routing from question to enquiry, quote, booking or support path
Approved knowledge and fallback rules so the bot does not invent policies or pricing
A smaller assistant layer that can later grow into Support Agent when ticketing and case tracking are needed