AI implementation · Riyadh
Aziz Saif builds one AI agent for your Riyadh company, wired to the report or reconciliation your team already runs, and hands you the finished workflow. No half-day session, no slides, no one on your side learning to code. You supply the real data, whether that is a Saudization return, ZATCA-connected invoice data or a giga-project progress report, and a way into your systems. You get back something that runs the task on its own, with the code and credentials sitting in your own accounts from day one.
An AI implementation build in Riyadh is a fixed-scope project where Aziz Saif builds one AI agent that performs a real reporting or reconciliation task on its own, connects it to the system or template that task already runs on, tests it on your real data, and hands it over running in accounts you control. There is no training component and no group session. You supply the workflow and the access. You receive the finished automation.
These are the jobs that come up most often in Riyadh companies, and each one ships as a single focused agent connected to what you already use.
Pulls ZATCA-connected invoice data out of your accounting or POS system and matches it against your ledger, ready for your finance team to review.
Builds the headcount and nationality return from your HR and GOSI data against the current reporting format, ready for submission each cycle.
Turns site data and consultant updates into the client's progress-report template, correctly ordered and formatted, instead of retyping the same content.
Tracks documents moving between your firm and the client or authority, and flags anything overdue before it becomes a delay claim.
Pulls numbers across entities into one consolidated pack for a Riyadh head office managing branches across the Kingdom.
Sets supplier or subcontractor quotes side by side against your bid template and flags where the numbers do not line up.
Most Riyadh build requests are not about a new system at all. They are about a recurring return or report a regulator, a client or a bank expects on a set schedule: a Saudization return, a ZATCA reconciliation, a board pack. A build that works from a stable template and a few real examples ships fast. One where the source system changes shape often takes longer, so that is confirmed before a start date is agreed.
A large share of Riyadh's white-collar workload sits around the Vision 2030 development programme and its contractors and consultants. That work produces enormous volumes of structured documents on fixed templates, progress reports, submittal logs, transmittals, payment applications, which makes it some of the strongest automation material anywhere in the Kingdom.
Scoping call. You describe the task in twenty minutes, we agree exactly what the agent will do, and you get a fixed quote and a start date.
Access and samples. You send real, redacted-where-needed data such as a recent Saudization return or a submittal log, plus either system access, an API key, or an export routine.
The build. The agent is built against your real data, not a demo dataset, and tested until the output matches what your team would produce by hand.
Your review. You run it on a live cycle alongside your current manual process and compare the two before anything replaces the manual step.
Keys and walkthrough. Code and credentials move into your own accounts, and a short call shows your named contact how it runs and what to check each cycle.
Saudi Arabia's Personal Data Protection Law, administered by SDAIA, governs personal data in Riyadh. A build is scoped around this before your first document is shared.
Early testing runs on data with national ID numbers, Iqama numbers, payroll and client identifiers stripped out wherever the workflow allows it.
The finished agent runs inside your own systems and cloud accounts. Nothing about your business data is stored on a system I control after handover.
Every build touching personal data is scoped against the Personal Data Protection Law before real data moves, not after.
Every tool below is live, free, and runs in your browser. They were built the same way a paid implementation is built, which is why you can try the approach before you pay for it.
Same builder, two different things. Pick the one that matches what you actually want to walk away with.
هذه الصفحة تخص التنفيذ لا التدريب. الفرق بسيط: التدريب يعلّم فريقكم كيف يبني الأتمتة بنفسه، أما التنفيذ فيعني أن يقوم عزيز سيف ببناء وكيل ذكاء اصطناعي واحد يقوم بمهمة تقرير أو تسوية حقيقية داخل شركتكم، سواء كانت تسوية فواتير مرتبطة بمنصة فاتورة التابعة لهيئة الزكاة والضريبة والجمارك، أو تقرير سعودة مبني على بيانات التأمينات الاجتماعية، أو تقرير تقدم لأحد مشاريع رؤية ٢٠٣٠ الكبرى، ثم ربطه بنظامكم أو القالب الذي تعتمدونه، واختباره على بياناتكم الفعلية، وتسليمه جاهزاً للعمل داخل حساباتكم الخاصة. لا توجد جلسة تدريبية ولا شرائح عرض، بل أداة تعمل بنفسها من أول يوم.
ثلاثة أشياء فقط. بيانات حقيقية من المهمة المراد أتمتتها، مثل تقرير سعودة حديث أو سجل تقديمات مشروع. طريقة دخول إلى النظام الذي تُحفظ فيه البيانات المصدرية، سواء نظام إداري أو منصة فوترة مرتبطة بفاتورة أو ملف تصدير يعمل. وشخص واحد مسؤول عن هذه المهمة يمكنه الرد بسرعة أثناء البناء.
الأداة وشفرتها البرمجية وبيانات الدخول تُسلَّم إلى حساباتكم أنتم، لا إلى حسابات المطوّر. تحصلون على مكالمة قصيرة توضح كيفية عملها وكيفية التعديل عليها لاحقاً. حتى لو توقف التعامل مع المطوّر تماماً، تستمر الأداة في العمل لأنها ملككم الكامل من لحظة التسليم.
الشركات في الرياض تخضع لنظام حماية البيانات الشخصية السعودي، الذي تشرف عليه الهيئة السعودية للبيانات والذكاء الاصطناعي سدايا. يُصمَّم البناء بحيث تُخفى أو تُعالَج داخل أنظمتكم البيانات المعرِّفة مثل أرقام الهوية الوطنية والإقامة وبيانات الرواتب والعملاء، متى سمح مسار العمل بذلك.
سعر ثابت متفق عليه بعد مكالمة مجانية، حسب نطاق العمل المحدد لكل مهمة. لا يوجد اشتراك شهري ولا نسبة من أي مبلغ. أما التدريب، إن كنتم تفضلون أن يبني فريقكم الأتمتة بأنفسهم، فيُقدَّم داخل مكتبكم مقابل 100 دولار أمريكي للساعة.
A working AI agent that does one job on its own, built around a document or reporting cycle you already run such as ZATCA e-invoice data, a Saudization headcount return or a giga-project progress report, tested on your real files, and handed over to your own accounts. You are buying the finished workflow, not a class about how to build one.
Usually one to two weeks per workflow once your sample data and system access are ready. A reporting cycle with a fixed template moves faster than one needing a new system integration, so the exact figure is fixed at scoping, not before.
Three things. Real sample data from the workflow you want automated, such as a recent Saudization return or a submittal log. A way into whatever system holds the source data, whether that is an ERP, ZATCA-connected invoicing software, or an export routine. And one named person on your side who owns the workflow and can answer questions fast.
The agent, its code and its credentials go into accounts you control, not mine. You get a short walkthrough call showing exactly how it runs and how to change the parts you might need to change. If I disappear the next day, the workflow keeps running.
This page is the build only. If you want your own staff to learn to build and run automations themselves, that is the corporate AI training class instead, run at your Riyadh office. Many companies do both: a build first so a reporting cycle stops eating a day every week, then a training day so the team can extend it.
Common Riyadh systems and formats, including ERP exports from SAP, Oracle, Tally, Focus or Zoho, ZATCA-connected e-invoicing data for VAT reconciliation, GOSI headcount data for Saudization reporting, and the client templates used for giga-project submittals and progress reports. If a system can export a file or expose an API, it can usually be wired into the build.
Yes. A Saudization return draws from a fixed set of fields such as headcount, nationality and job category, sourced from GOSI or your HR system, and it is exactly the kind of repeatable, rule-bound report an agent can assemble reliably once it has seen a few real examples and the current reporting format.
Yes, for the reconciliation and reporting layer around it. A build can pull ZATCA-connected invoice data out of your accounting or POS system and match it against your ledger, or turn it into whatever management report your finance team currently assembles by hand. It does not replace your ZATCA-compliant invoicing software itself.
The training class teaches your staff to build and run automations themselves over a half-day or full-day session. This page is the opposite buyer intent. You want the finished agent delivered and running, without anyone on your side needing to learn to build it.
Riyadh companies sit under Saudi Arabia's Personal Data Protection Law, administered by SDAIA. Builds are scoped so identifying information such as national ID numbers, Iqama numbers, payroll and client records is redacted or handled in your own systems wherever the workflow allows it.
Message me and we scope the change like any other piece of work. Because the code and credentials sit in your own accounts, a small internal team or another developer can also make changes without needing me at all.
No. Each build is a fixed scope agreed before work starts. There is no retainer and no percentage of anything. If you want ongoing changes, those are scoped and quoted as they come up.
Any size where one reporting or reconciliation task repeats often enough to be worth automating. In practice most builds come from companies of 10 to 150 staff where one person is currently assembling the same return or report by hand every cycle.
No. You need someone who knows the workflow, not someone who can code. That person supplies real examples and confirms the output is right. The build itself is done by me.
Message me on WhatsApp or email with the workflow you want automated, whether that is a Saudization return, a ZATCA reconciliation or a giga-project report. A free call follows to confirm scope, then a fixed quote and a start date.