Service
AI Chatbot Development for Websites & Support
Answering the same five questions before anyone is ready to buy?
VelvoAI builds a site assistant for the questions that arrive before a conversation with your team is warranted: pricing, availability, policies, order status, whether you serve a particular need. Grounded in your real content, it answers accurately and hands off cleanly when it should not be answering at all.
Built by VelvoAI, an independent AI systems studio. One engineer scopes and writes every system.
What the system does
- In your content
- Grounded
- Availability
- 24/7
- Every question
- Logged
- ComponentNext.js
- ComponentOpenAI
- ComponentRAG
- ComponentPython
- ComponentWebhooks
The problem
Why this keeps costing you
Decision-tree chatbots frustrate people because they cannot answer anything their author did not anticipate. Meanwhile support inboxes fill with the same twenty questions, and visitors who could not get a quick answer leave without ever making contact.
What we build
Inside an AI chatbot we ship
- Retrieval-grounded answers drawn from your site, docs, and policy content
- Lead capture that reads as a natural part of the conversation
- Live handoff to human agents with full conversation context carried over
- Order, booking, and account lookups via authenticated API calls
- Multilingual support with automatic language detection
- Conversation analytics highlighting the gaps in your content
How we approach it
The part most implementations skip
We ground the bot in your actual content and give it firm boundaries. It answers what it can support with a source, captures context for anything else, and escalates to a person with the full conversation attached. We also instrument what people ask, because that log is one of the most useful research assets a business can have.
Deliverables
What you actually receive
Every VelvoAI engagement ends with working software you own, not a slide deck. Here is what ships with an AI chatbot.
How a build runs, step by step- D.01Embeddable widget matched to your brand styling
- D.02Grounding corpus with a refresh process for content changes
- D.03Escalation rules and routing into your support tooling
- D.04Conversation dashboard with search and tagging
- D.05Monthly gap report showing questions the bot could not answer
By industry
AI Chatbot Development in your sector
AI Chatbot Development, applied to the workflows and rules of the sectors we work with most.
- 01
AI Chatbot Development for E-commerce
Deflecting a ticket is not the same as answering the question.
- 02
AI Chatbot Development for SaaS
Your documentation already contains the answer. Nobody finds it.
- 03
AI Chatbot Development for Education
Students study at midnight and ask questions at midnight.
- 04
AI Chatbot Development for Hospitality
Guests book at the moment they decide, not during your office hours.
- 05
AI Chatbot Development for Healthcare
Patients want to know the process, not a diagnosis.
Common Questions
01How do you stop it inventing answers?
It answers only from retrieved content, and when retrieval comes back empty it says it does not know and offers a handoff. We test this explicitly with questions we know are not covered in the corpus.
02Can it hand over to a real person?
Yes. The handoff target can be a help desk, a shared inbox, or a Slack channel — whatever your team already watches — and the whole conversation travels with it so the customer does not repeat themselves.
03How long does setup take?
A grounded site assistant is typically live in one to two weeks. Adding authenticated lookups like order status extends that depending on your API.
Related services
Often built alongside this
- Written by
- Usman Ali, Founder
- Last reviewed
Next step
Ready to scale operations without more busywork?
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