Automation examples

The manual process

Leads come from PropertyFinder, Bayut, website forms, WhatsApp. Someone has to copy each lead into the CRM, remember to follow up, and post the same listing on 4 different portals. When a price changes, every portal needs manual updates.

The automated workflow

• Leads from any source captured in CRM within seconds
• Auto-reply sent via WhatsApp or email
• Lead assigned to agent based on area or property type
• Follow-up reminders triggered automatically
• Listings published to all portals from one entry
• Price and status changes synced across all platforms
• Sold properties removed from all portals automatically

Results

The manual process

Support team spends hours telling customers where packages are. Drivers update the system, but customers don't see it. Dispatchers manually assign deliveries. Everyone frustrated.

The automated workflow

• Driver marks status → customer gets WhatsApp notification
• Automated updates at each stage (picked up, in transit, delivered)
• Delivery photo sent to customer automatically
• New orders assigned to nearest available driver
• Real-time tracking visible to dispatch and customers
• End-of-day reports generated automatically

Results

The manual process

Every order requires checking inventory, sending to fulfillment, creating shipping labels, updating customers, logging in spreadsheets. With 50+ orders daily, that's hours of repetitive work.

The automated workflow

• New order triggers the workflow automatically
• Inventory checked and reserved
• Order details sent to fulfillment partner
• Shipping label created
• Customer emailed with tracking info
• Everything logged in reporting sheet
• Exceptions flagged for human review

Results

The manual process

Hundreds of documents arrive: invoices, contracts, applications. Someone opens each one, reads it, types the key data into your system. Mind-numbing work with frequent errors.

The automated workflow

• Document arrives via email or upload
• AI extracts relevant data (dates, amounts, names, etc.)
• Data validated against your rules
• Records created in CRM, ERP, or destination system
• Uncertain extractions flagged for human review

Results

The manual process

Support team drowning in tickets. Half are the same questions repeated. Someone reads each ticket, types a response, or figures out who should handle it. Response times suffer, team burns out.

The automated workflow

• AI reads and classifies incoming tickets
• Common questions answered automatically
• Complex issues routed to the right specialist
• Draft responses generated for tricky cases
• Everything logged for quality tracking

Results