Ask your operationa question.Get a sourced answer.
Large language models grounded in your documents, data and systems, Arabic and English, hosted in-Kingdom, with every answer traceable to its source.
Why generative AI matters now
Operators are buried in manuals, tickets, reports and regulations. Language models can read all of it, if they are grounded, governed and kept inside the Kingdom.
Knowledge is unstructured
Procedures, incident reports and contracts live in PDFs and email, not databases.
Arabic-first demand
Staff and citizens expect answers in Arabic as well as English.
Hallucination risk
Ungrounded models invent facts; regulated operations need citations.
Data residency
Prompts and documents must not leave the Kingdom or the enterprise.
The answer: grounded, governed LLM assistants on in-Kingdom infrastructure, one workflow first.
Sources: SDAIA 2026; MIM National Industrial Strategy; Future Factories Program; GACA 2025; Saudi Aviation Strategy; Matarat Holding
Generative AI, grounded and governed
Assistants that answer from your approved sources, draft the documents you write every day, and hand off to people when confidence is low.
Grounded assistants
Retrieval over your manuals, tickets and data; every answer cites its source.
Document automation
Draft reports, summaries, RFP responses and shift handovers in your templates.
Talk to your data
Natural-language questions over ERP, MES and dashboards, with guardrails.
Building blocks of a generative-AI programme
Six components we assemble per use case, the gateway and retrieval layer are reused by every assistant.
Model gateway
One secure entry point to open and licensed models, hosted in-Kingdom or on-premises.
Retrieval layer
Vector search and knowledge graphs over approved documents and records.
Guardrails & policy
Prompt filtering, PII masking, topic limits and human escalation.
Assistant builder
Role-based assistants for operators, engineers, agents and citizens.
Evaluation & observability
Answer quality, citation rate and cost tracked per assistant.
Document pipelines
Ingestion, OCR and Arabic text handling for PDFs, scans and email.
How it works: from a question to a cited answer
A six-stage path that keeps answers grounded and auditable.
Ask
Arabic or English, text or voice
Check
Policy, identity and PII filters
Retrieve
Approved documents and records
Generate
Model drafts with citations
Verify
Confidence and guardrail checks
Deliver
Answer, draft or action with sources
Where generative AI earns its keep
Eight use cases that pay back first, each starts with documents you already have.
Procedure & manual assistant
Technicians ask how to fix an asset and get the right steps, cited.
Service-desk copilot
Drafts replies, classifies tickets and suggests next actions.
Report generation
Shift, incident and monthly reports drafted from live data.
Regulation & contract search
Find the clause, standard or requirement that applies, with source.
Citizen & passenger assistant
Bilingual answers on services, routes and permits.
Onboarding & training
Interactive guides built from existing documentation.
Talk to ERP / MES
Plain-language questions over inventory, orders and production.
Engineering copilot
Specs, test cases and integration code from requirements.
Where it creates value across Saudi sectors
The same gateway and retrieval layer, pointed at each sector’s documents and systems.
Industry & factories
Maintenance manuals, SOPs and quality records at the technician’s fingertips.
Airports
Passenger information, operations manuals and tenant correspondence.
Hajj & crowd mobility
Multilingual pilgrim guidance and command-centre summaries.
Fleet & logistics
Driver guidance, customs documents and incident reports.
Utilities & energy
Grid procedures, regulatory filings and outage communications.
Retail & FMCG
Product, pricing and replenishment questions for field reps.
Start with one assistant on one document set, then add sources and roles on the same gateway.
A day with a grounded assistant
Illustrative sequence from a utility operations team.
shift handover
The assistant drafts the handover from overnight alarms and tickets; the supervisor edits and signs.
field question
A technician asks how to isolate a valve type; the answer cites the OEM manual page.
customer letter
An outage notice is drafted in Arabic and English from the incident record.
compliance check
An engineer asks which NCA control applies to a change; the clause is returned with its source.
Low-confidence answers escalate to a person, the assistant never guesses on safety or compliance.
Illustrative scenario, not a case study.
Where this technology goes to work
Let us ground the firstassistant in your documents.Know now.
A 45-minute walkthrough of your operation, and the one workflow worth proving first.