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Al Khobar, Saudi Arabia

AI Agents & Automation

Customer support that answers at 2am in Arabic and English

Your customers message on WhatsApp expecting a fast answer, not a ticket number. We build an AI agent that reads your order data, answers correctly the first time, and brings in a human the moment it should.

24/7

coverage across WhatsApp, chat and email

2 to 4

weeks to a working first version

2

languages handled natively, Arabic and English

WhatsApp answersOrder status lookupArabic and EnglishHuman handoffOdoo and Zoho syncRefund and return flowsFAQ and policy answersAfter-hours coverageTicket summaries

The direct answer

Customer Support AI is an agent that reads and replies to customer messages on WhatsApp, live chat and email, connected to the order, ticket or CRM data you already keep in Odoo, Zoho, HubSpot or a plain database. It is built for Saudi companies whose support volume grows faster than their support team, or whose customers expect Arabic replies outside office hours. It answers what it can verify and passes the rest to a person, with the full conversation attached.

Concept demo · in-house render
Before and after

What this removes.

Slow replies lose customers

Today

A WhatsApp message sits unread for hours because your team is on the phone or it's after 6pm.

With the system

The agent replies within seconds, day or night, and flags anything urgent for a human straight away.

Same questions, every day

Today

Your team retypes the same answers about order status, return policy and delivery times all day.

With the system

The agent answers routine questions from your actual data, so your team only handles what's genuinely new.

Arabic support is a bottleneck

Today

Only one or two staff can reply properly in Arabic, so everyone else waits for them to be free.

With the system

The agent replies fluently in Arabic or English depending on how the customer wrote in, no bottleneck.

Nobody knows what customers actually ask

Today

Complaints and questions live scattered across phones, inboxes and someone's memory.

With the system

Every conversation lands in one place with a summary, so patterns and recurring issues are visible.

What we build

What lands in your hands.

WhatsApp and chat agent

Answers customer messages directly, connected to your live data.

Email triage and reply

Reads inbound email, drafts or sends replies based on the rules you set.

System connection

Reads order, ticket or account status from Odoo, Zoho, HubSpot or Supabase.

Human handoff rules

Defines exactly when the agent stops and a person takes over the thread.

Arabic and English replies

Detects the customer's language and matches it, no manual switching.

Conversation log and summaries

Every exchange stored and summarized so your team can review it fast.

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

Map the conversations

3 to 5 days

We look at your last few months of real customer messages to see what people actually ask and where your team gets stuck.

What you do
  • Share a sample of past conversations
  • Name your top 10 recurring questions
What we deliver
  • A written map of question types and volumes
  • A first draft of what the agent should and shouldn't answer
Exit criteria

We move on when we agree on the question types the agent will own in version one.

02 / 05

Connect the data

1 week

We connect the agent to the systems that hold the real answers, order status, account details, ticket history, so it never guesses.

What you do
  • Grant read access to Odoo, Zoho, HubSpot or your database
  • Confirm which fields are safe to expose to customers
What we deliver
  • A working data connection with test queries
  • A list of fields the agent can and cannot see
Exit criteria

We move on when the agent can pull a real order or ticket status correctly in a test.

03 / 05

Build and test the agent

1 to 2 weeks

We build the reply logic, the Arabic and English handling, and the handoff rules, then run it against real past conversations.

What you do
  • Review sample replies and flag anything wrong
  • Approve the handoff rules
What we deliver
  • A working agent tested against 30 to 50 real conversations
  • A handoff rule set your team signs off on
Exit criteria

We move on when your team approves the agent's replies on a batch of real historical messages.

04 / 05

Run alongside your team

1 to 2 weeks

The agent runs live on a limited channel or time window while your team watches every reply before it decides to trust it fully.

What you do
  • Review flagged conversations daily
  • Tell us what to fix
What we deliver
  • Daily accuracy notes
  • Fixes applied within the same week
Exit criteria

We move on when your team is comfortable letting the agent run without a review step on the covered question types.

05 / 05

Live operation and support

ongoing

The agent runs across your live channels. We monitor it, fix what breaks, and add new question types as your business changes.

What you do
  • Flag new question types as they come up
  • Tell us about any process changes
What we deliver
  • Ongoing monitoring and fixes
  • Monthly review of what the agent handled versus what it escalated
Exit criteria

We move on when we're on a standing support arrangement with a clear monthly review.

Buyer questions

Asked before signing.

How is this priced?

Setup is a fixed project fee based on how many channels and systems we connect, quoted after the scoping call. Ongoing operation is a monthly fee that covers monitoring, fixes and new question types. We give you both numbers before any work starts, no surprises later.

Does it actually work in Arabic, not just translated English?

Yes. The agent detects the language the customer wrote in and replies in kind, including Saudi dialect phrasing where relevant. We test this against your real conversation history before launch, not generic sample text, so you can judge the quality yourself before it goes live.

What happens to our customer data?

Data stays within the connections you approve, and we only expose the fields you confirm are safe for the agent to use. We follow PDPL requirements on data handling and can walk through the specific setup with your team before granting any system access.

Can it connect to the systems we already use?

In most cases yes. We connect directly to Odoo, Zoho, HubSpot, or a Supabase or internal database through their existing APIs. If your setup is unusual we say so during scoping rather than after we've started building, so you know upfront if there's a gap.

Ready to stop losing customers to slow replies?

Tell us how your customers currently reach you and what your team spends the most time answering. We'll tell you honestly whether an agent is the right fix.