AI Workflow Automation Services in Saudi Arabia and the Region
WhatsApp AI agents and workflow automation between your systems, for businesses in Saudi Arabia, the UAE, Jordan and across the Middle East. Built in Arabic and English by a team based in Jordan.
What it is
AI automation, in plain terms
We build two things. The first is a WhatsApp AI agent: it answers your customers in Arabic or English, takes bookings, and checks order status. The second is workflow automation: it moves data between the systems you already run, such as your POS, accounting, CRM, and spreadsheets, so nobody retypes it.
We build each one around how your business works. We start with a free 30-minute audit. See the details for WhatsApp automation and workflow automation. If you are weighing Arabic chatbots or voice agents, our guide to Arabic AI chatbots and voice agentscovers what works and what to test. If most of your team's work happens inside a CRM, our guide to AI-powered CRM in Saudi Arabia explains which jobs AI handles for your team and which decisions stay with a person.
Definition
What we mean by human-governed AI
The agent handles routine questions on its own. Anything that touches money, a contract, or a customer account waits for a named person on your team to approve it before it runs.
See it in action
One WhatsApp message, handled end to end
A customer asks a question. The agent reads it, looks up the answer, drafts a reply — and, for anything sensitive, waits for a human to approve. That approval step is the point: automation you can trust.
“Where is my order #4821?”
AI agent
Reading intent · looking it up
CRM
Order #4821 — shipped, arrives Tue
Human approval
Draft reply approved
Sent
Replied in 4 seconds
Scope
What we automate
Six jobs we are asked to automate most. Each one runs in Arabic and English.
Customer questions and bookings on WhatsApp
An AI agent answers the questions your team answers every day: prices, opening hours, availability. It takes bookings and hands anything unusual to a person. Arabic and English.
Order status
Customers ask where their order is. The agent looks it up in your system and replies, so nobody on your team has to check and type it out.
Follow-ups and reminders
Quotes that went quiet, appointments tomorrow, a service due in six months. Messages go out on time, using templates you approved in advance.
Moving data between your systems
POS to accounting, orders to a spreadsheet, a form to your CRM. We connect the tools you already use so nobody retypes the same numbers.
Scheduled reports
Daily sales, weekly follow-up counts, monthly totals. The report arrives in your inbox or on WhatsApp instead of waiting for someone to compile it. For a live screen instead of a report, see custom dashboards.
Lead routing and record updates
A new inquiry is sorted, saved in the right place, and sent to the right person.
Use cases
AI Automation Use Cases
From customer chat to compliance paperwork — where automation pays for itself.
Problem
Staff are overwhelmed by repetitive WhatsApp inquiries about stock, prices, and store hours.
What we would build
A WhatsApp AI agent that answers routine inquiries and passes anything unusual to a person.
Intended outcome
Staff have time for the customers in the store.
Problem
Reservation confirmations and reminders can take hours of manual messaging every day.
What we would build
WhatsApp booking confirmations, reminders, and post-visit follow-ups that go out on their own.
Intended outcome
Fewer missed reservations, and more guests who come back.
Problem
Sales teams miss follow-ups when leads are tracked in spreadsheets.
What we would build
AI lead qualification, automatic CRM updates, and scheduled follow-up messages.
Intended outcome
Every lead gets a follow-up on time, and the sales cycle gets shorter.
Problem
ZATCA e-invoicing rules keep tightening while invoices still leave from two or three different systems.
What we would build
Connect POS and ERP into one flow that generates, validates, and submits compliant invoices.
Intended outcome
Invoices go out compliant the first time, with a log you can show an auditor.
Problem
Talabat, Jahez, and HungerStation payouts never quite match what the POS says you sold.
What we would build
An agent reconciles every delivery-app settlement against POS orders and flags the gaps.
Intended outcome
You know what each platform actually owes you — without a weekend in Excel.
Problem
Iqamas, licenses, registrations, and insurance renew on dates nobody tracks until a fine arrives.
What we would build
Extract every expiry date once, then alert the right person well before each deadline.
Intended outcome
Renewals happen on time, and fines stop being a recurring line item.
Workflows
AI workflow automation in Saudi Arabia
A fixed workflow follows rules you write in advance. When a form is submitted, copy the name and phone number into the CRM. That works as long as every input looks the same. An AI workflow adds a step that reads. It takes a message or a document, works out what it is, and chooses the next step within rules you set. A person approves anything that involves money or a commitment.
Customers write in Arabic, English or both, and supplier invoices arrive as PDFs or photos in different layouts. A fixed rule struggles with that, and a step that reads handles more of it.
Invoice data entry
We would set up a workflow that reads a supplier invoice in Arabic or English, enters the fields into your accounting system and flags the ones it is unsure about. A person approves the entry. Invoices you issue are a separate job. ZATCA e-invoicing applies to those, and our ZATCA e-invoicing guide covers it.
Purchase order matching
We would set up a workflow that compares a purchase order, the supplier's invoice and the delivery note. Any mismatch goes to a person, and nothing is paid without approval.
Approval requests
Leave, purchase and discount requests would reach a manager as a message with the details already extracted. The manager approves or declines, the decision is recorded, and the workflow reminds the manager if nobody answers.
The workflow automation page shows how a project like these runs. The workflow automation guide covers where to start, and 20 examples of what you can automate lists more candidates.
Process
How AI Automation Works
From a free audit to a working system. For a defined scope, that is about six weeks.
Step 01
Free 30-minute audit
We look at how work moves through your business today. You get a one-page map of what to automate first and roughly what each piece involves.
A person approves anything that matters
For anything that touches money, a contract, or a customer account, the AI drafts and a named person on your team approves before it runs. We agree who that person is, and where the approval points sit, during the audit.
The free audit
What you get from the first 30 minutes
The audit is a 30-minute call. You walk us through a normal week: where customers write to you, where orders and invoices are recorded, and who does what by hand. You leave with:
- A one-page map of your current workflow, with the slowest and most repeated steps marked.
- A short list of what to automate first, and what is not worth automating yet.
- A plain answer on whether your current tools can be connected, and what we would need from you.
- A scope you can accept, change, or walk away from. There is no obligation to build with us.
To see one of these planned out, read how a WhatsApp booking system is planned for a service business.
Proof
What we have built and measured
Numbers from projects we delivered, as published in our case studies.
Takkeh, food delivery in Jordan
Takkeh took every order by phone. We built its ordering platform: custom software rather than an AI agent, built to take the manual steps out of each order.
- Order processing: from over an hour to 20 to 45 minutes
- Operators: from 6 to 2, about 60% lower operating cost
- Order errors: about 85% fewer
Chatwiser, our own platform
Chatwiser is the AI chat platform for WhatsApp, Instagram, and Facebook that we built. We run the automation we sell. A WhatsApp AI agent typically replies in about 4 seconds.
Al-Hallal, home maintenance in Amman
Al-Hallal is a company we are building with its founders. From plan to a live system took about six weeks.
More in our case studies.
Where we work
Built in Jordan, delivered across the region
BottleTech is based in Jordan, an AI automation agency working across the Middle East. We work with businesses in Saudi Arabia, the UAE, Jordan, and the wider Arabic-speaking region, and most of the work is delivered remotely. Calls, the audit, and the build all happen online, in Arabic or English.
If you run a business in Riyadh, Jeddah, Makkah, or anywhere else in the Kingdom, see what we do on our Saudi Arabia page. Questions about data residency, PDPL, or ZATCA depend on your case, so our team confirms what applies during the audit.
You can also run our free website scan.
Integrations
Platforms We Integrate With
Platform examples are shown for integration context only and do not imply official partnership.
Fit check
When AI Automation Is NOT the Right Fit
- You need complex strategic decision-making that requires deep domain expertise and human judgment.
- Your customer interactions are highly sensitive (medical, legal) and require licensed professional oversight on every interaction.
- You have no existing digital workflow — AI amplifies processes; it cannot create structure from pure chaos.
- You expect full automation with no human oversight — we believe in human-governed AI for accountability.
FAQ
Frequently Asked Questions
Pricing
Pricing is scoped after discovery. Every business has different systems, users, integrations, data migration, and support needs. BottleTech provides a clear scope and fixed proposal before implementation begins.
Start Automating Your Workflows Today
Book a 30-minute automation audit and see where AI can take repetitive work off your team.