Capability
AI Customer Experience
Smart chat and voice assistants, conversation analytics and agent-assist tools for customer service. They are designed to resolve routine requests correctly and hand over to people smoothly, with quality measured in every conversation.
Customer-facing AI designed to resolve cases, not to deflect them, with measurable quality and a complete handover to human agents.
01Architecture
Reference architecture
A typical arrangement of the components. Every implementation is adapted to your systems, data-residency and security requirements.
Channels
- Web and app chat
- VoiceTwilio
- Messaging
Assistant
- Dialogue orchestrationLangGraph
- Language modelOpenAI
- Knowledge retrievalPinecone
Business systems
- CRM and ticketingSalesforce · Zendesk
- Account APIsFastAPI
Quality
- Conversation analytics
- Handover to human agents
02Components
What this capability covers
01
AI chat and voice
Natural assistants that understand context, retrieve facts and act through tools.
02
Knowledge grounding
Live retrieval from your help content, policies and account systems.
03
Conversation analytics
Topic, intent, sentiment and quality insights for each conversation and across customer groups.
04
Agent assist
In-tool copilots that draft, summarise and suggest the next best action for human agents.
03Implementation
How we implement it
We start from real conversation logs to find which requests are frequent, answerable and safe to automate. The assistant is measured on resolution quality and customer effort, not only on how many conversations it contains.
- Answers are grounded in approved content and account data through defined tools.
- A handover to a person carries the full conversation and context.
- Gulf Arabic phrasing is tested with real customer wording, not translated scripts.
04Deliverables
What you receive
Conversation analysis and automation scope
Assistant with knowledge and tool integrations
Handover and escalation design
Quality dashboard
Technology
Technologies we work with
- LangGraph
- OpenAI
- Twilio
- Zendesk
- Salesforce
- Pinecone
- FastAPI
- Postgres
Chosen per project and aligned with your existing standards. Listed as technologies we use, not as partnerships or endorsements.
05Use cases
Typical applications
Patterns this capability is designed for, not a list of delivered projects.
01
Always-available support assistant
Routine questions and simple account actions handled at any hour, with a safe handover to people when needed.
Performance depends on your data, hardware and context, and is confirmed during the engagement.
02
Voice IVR replacement
Natural voice flows for high-volume customer journeys, in Arabic and English.
03
Quality assurance and coaching
Automated conversation scoring and coaching insights for team leads.
06Related
Where to go next
Industry contexts
More in Intelligent Systems & Automation
- AI Systems Engineering
Computer vision, natural language, deep learning, multi-modal and predictive systems engineered for real-world deployment, not demonstrations.
- Generative AI
Custom AI assistants, document intelligence, content generation and enterprise copilots, grounded in your own data.
- Enterprise AI Agents
AI agents that plan and complete multi-step tasks across your systems: gathering information, preparing work and taking actions through approved tools.
- Knowledge & RAG Systems
Enterprise knowledge systems that answer questions from your own policies, procedures and documents, with citations to the source.
- Document Intelligence
Arabic and English documents — forms, invoices, contracts, certificates and correspondence — turned into validated, structured data.
- Intelligent Automation
RPA, workflow automation, decision engines and intelligent document processing for operational efficiency.
Next step
Scope AI Customer Experience for your organisation
Share your process, data and constraints. We will propose an approach, the evidence to collect first and a realistic plan.