AI Live Chat demo

What is AI Chat in Quantara Flow AI?

AI Chat is a website and in-app chat channel where an AI agent handles the conversation end to end: it greets the visitor, identifies the customer, answers from your own knowledge base with citations, performs approved actions, hands off to a human agent when needed and creates or links exactly one case for the conversation.

• Answers grounded in your articles and SOPs, never invented
• One case per eligible conversation, with SLA and wrap-up
• Full transcript, sentiment and QA score after the chat closes

Arabic AI chatbot for customer service

The chat widget runs right-to-left in Arabic and answers from your Arabic knowledge articles. Visitors can write in Arabic, English or a mix of both, and the reply follows the language of the question so the conversation reads naturally instead of being machine-translated.

English and Arabic customer-service chat in one queue

You do not need a separate bot per language. One configured AI Chat agent serves English and Arabic visitors, routes to the right queue or department, and records the language on the case so reporting, SLA and QA stay comparable across both.

Website AI chatbot you can install on one page

The widget is a single embeddable script with per-workspace branding, welcome message and business hours. Allowed origins are verified server-side for every request, so the widget only answers on the domains you have approved — there is no wildcard access.

RAG chatbot grounded in your own knowledge

Retrieval combines keyword and vector search over your published articles, then the answer is generated with the retrieved passages and their citations. If retrieval returns nothing relevant, or confidence is insufficient, the chatbot does not guess — it offers a human handoff and logs the knowledge gap.

Live-agent handoff with full context

A visitor can ask for a person at any point, and the AI escalates on its own when verification fails, sentiment drops, a tool fails or an approval is required. The human agent receives the transcript, the identified customer, the case and the suggested next action — so the customer never has to repeat themselves.

Customer 360 during the conversation

Once the visitor is identified, the agent view shows the customer's history across Voice, Chat, WhatsApp, email, social and reviews: open cases, recent contacts, repeat-contact signals, sentiment trend and SLA risk. The AI reads the same context, which is why it can answer account-specific questions instead of only generic ones.

Automatic case creation from chat

Every eligible chat creates or links to exactly one case. Informational chats that the AI fully answered are marked contained and resolved; transactional chats that need an action, approval, department or follow-up stay open with the correct SLA, queue and workflow. Retries and reconnects cannot create a duplicate case.

Chat QA and wrap-up after every conversation

After the chat closes, a durable post-chat job finalises the transcript, selects one active wrap-up reason from your configured list, scores the conversation against your published chat QA rubric and updates Customer 360 and reporting. Chat QA is in beta while its recorded acceptance evidence is completed.

UAE and Saudi Arabia customer-service use cases

Typical bilingual use cases in the Gulf: order and delivery status for e-commerce, invoice and payment questions, subscription and plan changes, appointment booking and rescheduling, document and application status for education and government-adjacent services, and complaint intake that must reach a named department with an SLA.