Your AI customer-service employee and the tools behind its work.
Eight components bring together customer information, conversations, knowledge and team tools. ChatSheba handles enquiries within its scope and hands cases that need a person to the team with the information available for follow-up.
- 35+AI personas in production
- 14+industries deployed
- Secondsto a routine reply
- SupportedArabic dialects
- After hoursroutine questions answered
Core ChatSheba features
An integrated customer-management system
Manage contact information, customer fields and conversation states, with teams, permissions and reports to support customer-service follow-up.
Multimodal input
Customers send text, voice notes, and images. ChatSheba reads supported inputs in context and responds without moving work out of the conversation.
Sentiment analysis to support follow-up
Each message is scored for sentiment, so your team sees frustration early and escalation rules can fire before a conversation goes wrong.
Brand-voice tuning
We configure the assistant’s name, greeting, response style and rules to suit your brand identity and required languages.
Bilingual knowledge base
Responses draw on the content you maintain in Arabic and English. Knowledge is reviewed and updated when products, prices or policies change, followed by testing of relevant responses.
WhatsApp template lifecycle
Template submission and the 24-hour window are tracked for you, so proactive WhatsApp messaging stays inside policy.
Your brand identity within the service
The assistant’s name and service appearance are configured according to the customisation options available in each channel and the agreed scope.
Try it live
The real-estate assistant shows the CRM layer working — multi-step, data-heavy conversations.
