Real systems built for real business operations

Case Studies That Show How Automation Works In Practice.

Explore examples of systems built to reduce manual work, centralise operations and help teams handle daily processes with fewer repeated steps.

4system examples
10+workflow areas
1central dashboard

What was built and why it matters

Each case study is structured by the operational problem, the system modules built, and the practical business outcome.

01
KKPL Logo
Interior Fittings & Furniture Hardware

KKPL

AI Lead, Delivery Order and Inventory Forecasting System

KKPL can manage qualified sales enquiries, delivery orders and inventory from one centralised system. AI document recognition speeds up delivery processing and stock updates, while forecasting provides clearer visibility for future purchasing decisions.

AIenquiry handling
DOrecognition workflow
Stockforecasting visibility
Challenges
  • Sales staff spent time responding to repetitive product and service enquiries.
  • Spam and low-intent enquiries made it harder to focus on genuine customers.
  • Inventory levels, incoming stock and outgoing stock required frequent manual checking.
  • Delivery orders had to be reviewed manually before stock records could be updated.
  • Management had limited visibility when planning future stock requirements.
What We Built
AI enquiry handlingLead qualificationSpam filteringSales agent assignmentLive chat handoverInventory managementIncoming and outgoing stock trackingAI delivery order recognitionAutomatic SKU and quantity extractionInventory updates from delivery ordersLow-stock monitoringInventory forecastingStock movement reporting
02
AMD Transportation Logo
MGT Logo
PRESTIGZE ASIA Logo
Workforce & Operations

AMD, MGT & PRESTIGZE ASIA

Booking, Workforce and Operations Management System

Booking enquiries, staff records, schedules, attendance and assignments can be managed through one centralised workflow, reducing manual coordination across daily operations.

AIbooking support
Shiftschedule control
Reportoperation visibility
Challenges
  • Booking enquiries and arrangements required manual replies and coordination.
  • Employee, driver and operational records were managed across separate files and communication channels.
  • Shift schedules, attendance and job assignments required frequent manual coordination.
  • Payroll, claims and operational reporting involved repeated administrative checking.
What We Built
AI booking agentAutomated booking enquiry handlingBooking confirmation and follow-upEmployee profilesJob and project assignmentRecurring shift schedulesWhatsApp remindersAttendance check-inLate attendance trackingPayroll and claims supportManagement reporting
03
Happify Piano Studio Logo
Music Education

Happify Piano Studio

Music School Management System

Lesson, payment, teacher and student information can now be managed from one centralised platform.

Portalstudent and guardian
Creditlesson tracking
WApayment reminders
Challenges
  • Attendance and lesson credits were tracked manually.
  • Payment reminders required repeated WhatsApp follow-ups.
  • Teachers and guardians had limited access to lesson and package information.
What We Built
Student and guardian portalTeacher portalLesson credit trackingAttendance managementPayment approvalWhatsApp remindersInvoice generationTeacher salary calculation
04
WERK SG Logo
Marketing & Content Production

WERK

AI Marketing Idea and Storyboard Generation System

WERK can transform raw campaign ideas and market insights into structured scene-by-scene storyboards, helping the team reduce pre-production work and show clients how an advertising concept may flow before filming begins.

Trendresearch input
6scene storyboard
Promptimage and video
Challenges
  • Raw client ideas required significant time to develop into structured advertising concepts.
  • Storyboard planning and scene visualisation were prepared manually before production.
  • The creative team needed a faster way to connect campaign ideas with current market trends.
  • Preparing image and video prompts for every scene involved repetitive work.
What We Built
Market trend researchAI marketing idea generationSix-scene storyboard generationScene title and description planningScene duration planningAI image prompt generationAI video prompt generationScene visual generationStoryboard file storageClient campaign visualisation

We start from workflow, not from software features

The goal is not to force a business into a fixed system. We map the actual daily process first, then build the dashboard, user roles, automation and documents around that flow.

1

Understand the actual workflow

We look at how enquiries, documents, staff actions and approvals currently move through the business.

2

Identify repeated manual work

We separate routine steps from decisions that still require human judgement.

3

Build the system around the process

Dashboards, portals, automation and documents are designed around the agreed workflow.

4

Launch, support and improve

After rollout, we support users and adjust the system based on real operational use.

Have a similar operational problem?

Show us your current workflow. We will map what can be automated.