Customer self-service
Answer frequent questions from approved content.
Services
AI customer support
Answer repetitive requests faster without leaving sensitive cases to a bot
We build a multilingual support agent connected to approved content and your ticketing tool. It answers covered requests, gathers context, and hands complex cases to a person.
More availability with a clear escalation path
- Immediate answersCovered questions receive a response at any hour.
- Contextual escalationHuman agents receive the request, history, and collected details.
- Multilingual consistencyRules, sources, and tone stay aligned across French, Arabic, and English.
- Continuous improvementUnresolved requests expose knowledge-base gaps.
Deliverables
What an operable support agent requires
The scope covers answers, routing, limits, and post-launch observation.
Ticket sample analysis
Retrieval-ready knowledge base
Answer and escalation scenarios
Channel and ticketing connection
Multilingual and sensitive-case tests
Resolution, escalation, and satisfaction dashboard
Use cases
Three AI support layers
Ticket triage
Detect topic, urgency, language, and handling group.
Agent copilot
Summarize history and draft a response for review.
Anonymized deployment
E-commerce: automation of repetitive support
The anonymized case reports the metrics for its stated scope; they are evidence from that deployment, not a universal guarantee.
Review the evidence and context65%
tickets auto-resolved
<30 sec
reported response
+40%
reported satisfaction
How we launch your first AI system
01
Scope
We choose one concrete use case: customer chatbot, internal assistant, or business automation.
02
Build
We create the prototype, prompts, workflows, guardrails, and required integrations.
03
Connect
We connect the agent to your documents, CRM, forms, emails, tickets, or APIs.
04
Improve
We observe real usage, correct answers, measure gains, and prepare the next use case.
FAQ
Support-agent questions
How do you limit invented answers?
The agent uses approved sources and escalates when confidence or coverage is insufficient.
Can it work on WhatsApp?
Yes, depending on your WhatsApp Business provider and applicable messaging and data rules.
Does it replace the support team?
No. It handles repetitive requests and prepares context while people manage cases requiring judgment.
Which metrics matter?
Resolution, escalation, routing accuracy, response time, satisfaction, and human correction volume.
Launch a useful AI agent, not a vague project
Describe your need. We help you choose the first AI system to build: chatbot, internal assistant, or business automation.