AI portal for government and enterprise · Built for the Gulf

Your organisation’s knowledge, one question away.

معرفة مؤسستك… على بُعد سؤالٍ واحد

Tawi connects to every document store, database and legacy system you already run, speaks Arabic natively, respects who may see what, and acts through agents your own team configures without code. On your servers.

  • Permissions enforced before retrieval
  • On-premises or sovereign cloud in your country
  • Arabic first, English too
طويّ · بوابة الوزارة
ما المستندات المطلوبة لتجديد ترخيص منشأة صغيرة، وكم تستغرق المعاملة؟

تحتاج إلى السجل التجاري، وبطاقة الهوية، وشهادة عدم ممانعة من البلدية. تستغرق المعاملة يومَي عمل عند تقديمها إلكترونياً.

المصدر: دليل الإجراءات، الفصل الثالث، صفحة 14
Permissions checked Answer cited Logged for audit

A real question, a cited answer, and permissions applied before retrieval.

The problem

A normal day in a government office

Five everyday tasks that quietly consume the working week.

The buried document

It exists, in a shared drive, an inbox or a DMS folder nobody remembers.

«الملف موجود… لكن أين؟»

The answer in a stack

The answer is spread over forty PDFs. Keyword search returns four hundred hits and no answer.

«نبحث عن الكلمة… لا عن المعنى»

The question for IT

A simple figure needs a SQL query. A ticket, a queue, and days of waiting.

«اطلبها من قسم تقنية المعلومات»

The picture you remember

You remember what the photo shows, never its file name or its folder.

«أذكر الصورة… لا اسم الملف»

The one colleague who knows

Only one specialist can operate the legacy system. Hours or days until they are free.

«انتظر حتى يفرغ الموظف المختص»

The cost shows up in the numbers

25%

of the working week goes to searching for information

Atlassian, State of Teams 2025

3 h

a day looking for information in large organisations

Coveo, EX Relevance Report 2025

47%

of digital workers can’t find the information they need

Gartner, 2023 (4,861 workers)

5.3 h

a week waiting on colleagues or redoing existing work

Panopto / YouGov

5,000employees in one ministry
25%of the week searching
1,250full-time equivalents

What it means for one ministry

Roughly one working day a week, for every employee. In a ministry of 5,000 people, that is the time of about 1,250 full-time staff spent looking for information instead of serving the public.

Illustrative: a global survey figure (Atlassian, 2025) applied to a hypothetical headcount. The pilot replaces it with your own numbers.

Why now

The Gulf has already decided to move

Every Gulf state now has a national AI strategy, sovereign Arabic models are being built in Riyadh, Abu Dhabi, Doha and Muscat, and data-protection laws require governed, in-country data. Governments and enterprises across the region are moving from pilots to platforms.

6 of 6

GCC states with a national AI strategy or roadmap in place

4

sovereign Arabic language models built in the Gulf: ALLaM, Jais, Fanar and Mu’een

$14.6B

AI spending across the Middle East, Türkiye and Africa by 2028, up from $4.5B in 2024

Top 3

UAE, Saudi Arabia and Qatar lead the Arab world in the 2024 Government AI Readiness Index

In force

data-protection laws across the Gulf: AI must run on governed, in-country data

Sources: BCG, The GCC AI Pulse (2025) · IDC, AI spending in the Middle East, Türkiye and Africa (Jan 2025) · Oxford Insights, Government AI Readiness Index 2024 · national data-protection laws of Saudi Arabia, the UAE, Qatar, Bahrain, Kuwait and Oman

The solution

Meet Tawi طويّ

An AI portal that connects to any knowledge base, speaks Arabic natively, runs on your servers, and acts through agents your own team configures, without code.

Any source

SQL, NoSQL, file systems, DMS, email, SaaS

Any content

Text, tables, images, graphs, scanned Arabic

Any tool

MCP builder for apps and legacy systems

Any model

On-prem or via API, chosen per task

Any channel

Portal, WhatsApp, Teams, Telegram, Meta, email

Architecture

How Tawi works

Everything in the diagram is configured by your own team from Tawi Studio, without code.

Channels

Web portal · WhatsApp · Teams · Telegram · Meta · Email · Voice · API / A2A

Agent runtime

Router · planner / executor · validator · memory · guardrails · full trace

Model gateway

On-prem or API, routed per task

Knowledge index

Vector + keyword + graph · ACL-filtered · cited

Semantic layer

Schema discovery · glossary · governed SQL

Tools gateway

MCP · OpenAPI · A2A · auth · audit

Documents

DMS, SharePoint, Drive, file shares, email, CMS

Databases

Oracle, SQL Server, PostgreSQL, data lakes

Apps and legacy systems

ERP, HR, GIS, ticketing

Capabilities

Knowledge

Find the document, even the one you only half remember

  • Read everything. Arabic and English OCR, layout-aware; tables stay tables; images are described.
  • Index three ways. Meaning (vectors), exact terms (keyword), relations (graph).
  • Respect permissions. Who may see a file is indexed with it and filtered before retrieval, never after.
  • Answer with citations. Rerank, expand to the parent section, and point to the exact passage or image.

Connect every repository

  • SharePoint
  • OneDrive
  • Google Drive
  • SMB / NFS
  • OpenText
  • Alfresco
  • Laserfiche
  • Exchange
  • Gmail
  • Confluence
  • CMS
  • S3 / Azure Blob
  • Push API + SDK

«ابحث عن صورة الوزير مع الوفد في الميناء — تلك التي تظهر فيها الرافعات الزرقاء»

Tawi finds the photo by what it shows, not by its file name or folder.

Structured data

Ask the database in Arabic, no ticket to IT

How it stays governed

  • Schema discovered automatically, described in business terms, approved by data owners.
  • Only the few relevant tables reach the model, never the whole schema.
  • Queries run read-only as the user; row- and column-level security apply.
  • The SQL is always shown; certified metrics are preferred over free-form SQL.

Works with PostgreSQL, SQL Server, Oracle, MySQL, Snowflake, BigQuery, Databricks and Fabric.

كم معاملة أُنجزت هذا الشهر، موزّعة حسب الفرع؟

SELECT branch, COUNT(*) AS completed
FROM transactions
WHERE status = 'completed'
  AND month = '2026-10'
GROUP BY branch
ORDER BY completed DESC;

Results by branch, with the SQL and the source tables shown, ready to export or chart.

Tools and legacy systems

Turn any system into a tool with the MCP builder

  1. 1

    Point

    At an API specification, a database’s stored procedures, or a legacy system’s screens and exports.

  2. 2

    Generate

    An MCP server: tool schemas, authentication, confirmation rules and Arabic descriptions the agent understands.

  3. 3

    Govern

    One gateway: least privilege, rate limits, an audit record of every call, and a confirmation before any write.

Examples

  • Leave balance from the HR system
  • Parcel lookup in the GIS platform
  • Tender status from a 2009 procurement system
  • Open a ticket in the service desk

The specialist’s know-how becomes a procedure any employee can run, in Arabic, from WhatsApp or Teams.

Agent harness · Tawi Studio

Your team shapes each agent, no code

Identity

Name, persona, tone, Arabic and English, employee or citizen audience

Instructions and procedures

Step-by-step flows for key requests, written in plain language

Models

Primary and fallback model per step: router, answerer, SQL writer

Knowledge

Which collections and data models the agent may use, and how it retrieves

Tools

Search, SQL, MCP servers, OpenAPI actions, other agents, with confirmation rules

Memory

Session and long-term memory per person, with a retention period

Guardrails

Allowed topics, PII redaction, injection filter, groundedness check, spend limits

Handoff

When and where to escalate to a person, with the full conversation

Channels

Where the agent is published and how answers are formatted per channel

Every published version is tested against an evaluation set, can be A/B-tested against the previous one, and rolled back in one click.

Arabic

Arabic first, in reading, searching and answering

  • Arabic OCR for scanned and handwritten records, with layout and tables kept
  • Arabic-tuned embeddings and hybrid search: meaning plus exact terms, tolerant of spelling variants and diacritics
  • Understands Gulf dialects in questions; answers in clear formal Arabic
  • Right-to-left interface, Hijri and Gregorian dates, Arabic and Latin numerals
  • Ask in Arabic and cite an English document, or the other way round
  • Arabic evaluation sets and guardrails; runs on sovereign Arabic models such as Mu’een, Jais, ALLaM or Fanar

Omnichannel

Meet people where they already work

  • Tawi portalWeb and mobile, single sign-on, Arabic and English
  • WhatsAppBusiness API, approved Arabic templates for outbound
  • Microsoft TeamsFor employees, beside or inside Microsoft 365 Copilot
  • TelegramBot API, groups and direct messages
  • MetaMessenger and Instagram for citizen-facing services
  • EmailLonger answers with attachments, handled asynchronously
  • VoicePhone and IVR with Arabic speech (phase 2)
  • API and A2AOther agents and apps, including Copilot Studio agents

One agent, one memory per person

A WhatsApp number, a Teams login and an email resolve to the same person, so context follows them. Handoff to a human carries the full conversation.

Hosting and models

Runs on your servers, with the model you choose

On-premises

Inside the ministry’s own data centre. No data leaves the network.

Sovereign cloud in your country

Hosted by a national provider in Saudi Arabia, the UAE, Qatar, Oman or elsewhere in the Gulf. Data residency by default, aligned with your national data-protection law.

Hybrid

Control plane hosted; connectors, index and database access stay inside your network.

One model gateway, routed per task

TaskOn-prem, sovereignVia API
Intent routingQwen, Llama (small models)—
Arabic answersMu’een*, Jais, ALLaM, FanarClaude, GPT, Gemini
SQL writingQwen-Coder, LlamaClaude
Embeddingsbge-m3 (multilingual)—

*Where made available by the national provider. Bring your own keys; swap a model without rebuilding an agent.

  • Every prompt, retrieval, query and tool call in the audit log
  • SSO with Entra ID or Okta; per-user permissions enforced at retrieval
  • No training on your data, ever

Use cases

Where it starts

HR and policy assistant

Leave, allowances, circulars and procedures answered from HR policies and the HR system.

Channel · Teams

Legal and records

Decrees, case files and scanned Arabic archives searched by meaning, with citations to the page.

Channel · Portal

Citizen services

Permit requirements, application status and appointments, answered from the service catalogue and case system.

Channel · WhatsApp

Finance and performance

KPIs, budget execution and transaction volumes asked in plain Arabic over the data warehouse.

Channel · Portal and Teams

Procurement

Tender status and supplier documents pulled from a legacy procurement system through a generated MCP tool.

Channel · Portal

Executive briefing

One question across ministries’ documents and databases, with a cited summary for the morning meeting.

Channel · Email and portal

Each starts with one agent, one set of sources and one channel, then grows from there.

Next steps

A ten-week pilot, measured

  1. Weeks 1–2

    Connect

    Three document repositories and one database, installed on your servers.

  2. Weeks 3–5

    Configure

    Two agents, their procedures, an Arabic evaluation set and guardrails.

  3. Weeks 6–8

    Launch

    Portal plus WhatsApp or Teams for about 200 staff in one ministry.

  4. Weeks 9–10

    Measure

    Review the numbers together and decide on the scale-out.

What we measure

  • Time to answer
  • Questions resolved without a person
  • Answers cited and correct
  • Hours returned per employee

One ministry, real documents, real users, your servers, and a decision based on your own numbers rather than a demo.

Let’s put your knowledge one question away.

لنجعل معرفة مؤسستكم على بُعد سؤالٍ واحد

Book a 30-minute introduction, or go straight to the ten-week pilot in one ministry.