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Al Khobar, Saudi Arabia

AI Agents & Automation

Automation that runs inside your systems, not next to them

Your team spends hours a day copying data between email, spreadsheets and whatever ERP you run. We build agents that do that work directly inside Odoo, Zoho, HubSpot or your own database, in Arabic and English.

2 to 4

weeks to a working first version

24/7

agent coverage once live

2

languages supported from day one

Odoo integrationZoho integrationHubSpot integrationDocument processingApproval routingData entry automationArabic and EnglishSupabase and internal DBsScheduled reporting

The direct answer

AI Workflow Automation is a service where we design, build and hand over AI agents that execute a specific back-office or operational process inside the software your company already runs. It is for Saudi companies losing hours a day to manual data entry, document routing, approvals or status updates that pass through email, WhatsApp or spreadsheets before landing in a system of record. We do not sell you a chatbot. We automate the actual task.

Concept demo · in-house render
Before and after

What this removes.

Data entered twice, three times

Today

A quote comes in by email, someone retypes it into Odoo, then updates a tracking sheet by hand.

With the system

The agent reads the email, extracts the line items, and posts the record into Odoo directly.

Approvals stuck in inboxes

Today

Purchase requests sit in someone's inbox for days because there is no routing logic, just habit.

With the system

The agent routes each request to the right approver based on amount and category, and chases the reply.

Arabic documents nobody wants to process

Today

Invoices and contracts arrive in Arabic PDFs that get skimmed, not properly logged.

With the system

The agent extracts the fields in Arabic, translates what's needed, and files it correctly the first time.

No one knows the real status

Today

Managers ask 'where is this' in three different chats because the CRM is never updated in time.

With the system

The agent updates the CRM the moment something changes, so the dashboard is the source of truth.

What we build

What lands in your hands.

Process map

The exact steps, decision points and exceptions in your current workflow, documented.

Integration layer

Direct connections to Odoo, Zoho, HubSpot, Supabase or your internal database.

The agent itself

A working automation that reads, extracts, decides and writes back, tested on real data.

Human checkpoints

Approval or review steps kept wherever a person should still decide, not the model.

Arabic and English handling

Bilingual document and message processing built in, not bolted on later.

Monitoring and logs

A simple view of what the agent did, when, and what it flagged for a human.

Systems and platforms we work with

  • OpenAI
  • Anthropic
  • Google Gemini
  • Meta

Systems and platforms we work with

  • React
  • Next.js
  • TypeScript
  • Node.js
  • Python
  • Flutter
  • PostgreSQL
  • Supabase
  • Tailwind CSS
  • Docker
  • GitHub
  • Google Cloud
  • Figma
The delivery plan

Five stages. You sign off every one.

Read each stage as a small contract: what we need from you, what lands in your hands, and the sentence that has to be true before we move on.

01 / 05

Discovery

3 to 5 days

We map the workflow as it actually runs today, including the exceptions nobody writes down, and confirm which systems the agent needs to touch.

What you do
  • Walk us through the current process
  • Give access to the relevant systems
  • Name who approves what
What we deliver
  • A written process map
  • A list of integration points
  • A fixed scope and timeline
Exit criteria

We move on when we both agree on the exact workflow being automated and what stays manual.

02 / 05

Design

3 to 5 days

We design the agent's logic: what it reads, what it decides on its own, and where it must stop and ask a person.

What you do
  • Review the decision logic with us
  • Flag any edge cases we missed
What we deliver
  • A decision flow document
  • The list of human checkpoints
Exit criteria

We move on when the logic is signed off before we write a line of integration code.

03 / 05

Build

1 to 2 weeks

We build the integration and the agent logic, and connect it to a sandbox or test environment first.

What you do
  • Provide a test environment or sample data
  • Answer questions as they come up
What we deliver
  • A working agent in a test environment
  • Integration code connected to your systems
Exit criteria

We move on when the agent runs correctly against real sample cases without manual correction.

04 / 05

Pilot

1 to 2 weeks

The agent runs on live data alongside your current process, so you can compare output before switching over fully.

What you do
  • Run the old and new process in parallel
  • Report any mismatches
What we deliver
  • Daily or weekly accuracy reports
  • Fixes for anything flagged
Exit criteria

We move on when the agent's output matches or beats the manual process for two consecutive weeks.

05 / 05

Live operation

ongoing

The agent runs in production. We monitor it, fix issues, and extend it as your process changes.

What you do
  • Use the system day to day
  • Tell us when the process changes
What we deliver
  • Ongoing monitoring
  • A monthly support and adjustment window
Exit criteria

We move on when you have a working handover document and a direct line to us for issues.

Buyer questions

Asked before signing.

How do you price this?

We scope a fixed price after discovery, based on the number of integration points and the complexity of the decision logic, not a headcount or seat count. Most single-workflow builds land in a defined range we confirm before you commit to anything. There's a separate monthly fee for ongoing monitoring and support after go-live.

Does this work with our existing ERP or CRM?

Yes, that's the point. We connect to Odoo, Zoho, HubSpot, Supabase and most systems with an API or a database we can reach directly. If your system has no API, we look at what's realistic, sometimes that means a lighter integration or a different starting point, and we tell you honestly if it's not a good fit.

Can it handle Arabic documents and messages?

Yes. Arabic extraction and processing is built into the agent from the start, not added afterward. If your invoices, contracts or WhatsApp messages come in Arabic, the agent reads and processes them directly, and we test against your actual documents during the pilot, not generic samples.

What happens to our data, given PDPL?

We minimize what's sent to any external service, keep processing inside your own systems wherever possible, and document what data touches the agent and why. We'll walk through the data flow with you before build starts so your compliance team can review it, and we build in the ability to delete or export records on request.

Tell us the workflow that's wasting your team's time

Bring us one process that eats hours every week. We'll tell you honestly whether it's worth automating and what it would take.