Understand everyrequest, in Arabicand English.
Natural-language processing and conversational assistants for citizens, passengers, staff and field teams, text and voice, with hand-off to people when it matters.
Why conversational AI matters now
Service volumes are growing with the Kingdom’s population, visitors and digital services. Language technology now handles Arabic dialects well enough to serve at scale.
Volumes are rising
Passengers, pilgrims and citizens expect instant answers on every channel.
Arabic and dialects
Modern models handle Gulf Arabic, mixed-language and transliteration.
Agents need help too
Classification, summaries and suggested replies cut handling time.
Residency & consent
Conversations hold personal data and must stay in the Kingdom.
The answer: assistants grounded in your services and systems, with people in the loop.
Sources: SDAIA 2026; GACA 2025; Saudi Aviation Strategy; Matarat Holding; GASTAT, RCMC and Ministry of Hajj & Umrah, Hajj 1446; amsisaudi Company Profile 2026 (1446H–1447H)
Conversational AI, grounded in your services
Assistants that understand intent, answer from approved content, complete transactions in your systems, and escalate with full context.
Assistants
Web, app, WhatsApp, kiosk and voice channels in Arabic and English.
Language analytics
Classify, summarise and search tickets, calls, reviews and reports.
Agent assist
Live suggestions, summaries and after-call notes for contact centres.
Building blocks of a conversational programme
Six components, the language core and knowledge layer serve every channel.
Language core
Intent, entity and sentiment models for Arabic and English.
Speech
Arabic and English speech-to-text and text-to-speech.
Knowledge & grounding
Approved content, FAQs and records with citations.
Transaction connectors
Book, pay, report and update through your systems' APIs.
Hand-off & agent assist
Escalation with full context; suggestions for human agents.
Conversation analytics
Topics, resolution, satisfaction and compliance across channels.
How it works: from a message to a resolved request
Six stages across any channel, with escalation at any point.
Receive
Text or voice, any channel
Understand
Intent, entities, language
Ground
Approved content and records
Act
Transaction in your systems
Escalate
Hand to a person with context
Learn
Analytics and improvement
Where language AI earns its keep
Eight use cases that cut waiting time and handling cost.
Passenger assistant
Flights, parking, wayfinding and services at kiosks and in the app.
Pilgrim guidance
Multilingual directions, schedules and alerts across channels.
Citizen services
Permits, bills and requests answered and submitted in one conversation.
Contact-centre agent assist
Live suggestions, summaries and compliance prompts.
Ticket classification
Route and prioritise requests automatically.
Report summarisation
Incident, inspection and shift reports condensed for managers.
Field voice assistant
Hands-free procedures and logging for technicians.
Voice of the customer
Sentiment and topic trends from calls and reviews.
Where it creates value across Saudi sectors
Every sector talks to its customers and staff; the language layer is shared.
Industry & factories
Voice procedures and logging for technicians on the floor.
Airports
Passenger assistance across kiosks, apps and lounges.
Hajj & crowd mobility
Multilingual guidance for millions of pilgrims and field staff.
Fleet & logistics
Driver, dispatcher and customer conversations in one layer.
Utilities & energy
Outage notices, billing questions and field voice logging.
Retail & FMCG
Store, rep and customer queries answered from product data.
Start with one channel and the ten most common requests, then add transactions.
A journey with a bilingual assistant
Illustrative sequence from an airport passenger.
booking
A passenger asks in Arabic for long-stay parking near Terminal 1; the assistant books and confirms.
guidance
A voice question at the kiosk returns the route to check-in with walking time.
proactive
A gate change triggers a message with the new route and time to gate.
hand-off
A lost-bag query escalates to an agent with the full conversation attached.
Assistants resolve the routine; people handle the exceptions, with context, not from scratch.
Illustrative scenario, not a case study.
Where this technology goes to work
Let us answer yourten most common requests.Know now.
A 45-minute walkthrough of your operation, and the one workflow worth proving first.