Automation Labs/Systems & Automation

We build systems
that do the work.

AI automation, data systems and purpose-built software for workflows where manual processes stop scaling.

Explore our work

What we do

From repetitive operations to intelligent systems.

Automation Labs designs and builds software that turns complex, repetitive or data-heavy processes into reliable systems.

Selected work

Systems we've built.

05 projects
CALL QA / BUILT01
01CALLRECORDED DATA
02TRANSCRIBECONVERSATION
03ANALYZEQA CRITERIA
OUTPUTSTRUCTURED QA REPORT
QUALITYINSIGHTSCOACHING
01

Call QA Automation

AI-powered call analysis designed to automate quality assurance across recorded conversations.

AIAutomationSaaS
MARKET / SCANNER02
PSXMOMENTUM
02

PSX Momentum Scanner

A market-analysis system built to identify momentum signals across Pakistan's stock market.

DataMarketsAnalytics
MARKET / PLANNING03
ENTRY—
STOP—
TARGET—
TRADE PLAN / READY
03

PSX Trade Plan

A structured decision-support workflow for turning market data into actionable trade plans.

DataAnalysisWorkflow
HEALTHCARE / QUEUE04
NOW SERVINGA-047
A-048A-049A-050A-051
04

Aman Clinic Queue

A queue-management system designed to coordinate patient tokens, attendants and clinic operations.

OperationsHealthcareSoftware
WEB / TEMPLATE UPDATE05
01OLD TEMPLATE
→
02AUTOMATED UPDATE
→
03650+ PAGES
05

Kitaabghar Template Update

An automated workflow for applying a new website template across Kitaabghar's existing collection of 650+ HTML pages.

AutomationWebTransformation

Capabilities

The technology follows the problem.

01

AI Automation

Intelligent workflows that process information, evaluate content and automate decisions.

02

Data Systems

Data pipelines, analysis engines and interfaces that turn raw information into usable signals.

03

Operational Software

Purpose-built systems for teams whose workflows don't fit inside off-the-shelf software.

04

Product Engineering

From internal tools to customer-facing products, we build the software around the workflow.

Our approach

Understand the workflow.
Then automate it.

01

Understand

Map the existing workflow, constraints and decisions before choosing technology.

02

Design

Define the system architecture, interfaces and automation boundaries.

03

Build

Develop the system in small, testable pieces and validate against the real workflow.

04

Deploy

Put the finished system into operation and keep the architecture ready for iteration.

Have a workflow worth automating?

Let's build the systemaround it.

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