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Islamic Education & Dakwah

From General AI Use to Agent-Powered — How a Quran Coordinator Found a Faster Path to Organised, Focused Work

Muhammad Shazwan Bin Mansoor, Executive at Dakwah Iqra and Quran Coordinator, was five months into his role when he attended the Mastering Agentic AI workshop. Curious about AI but unsure whether he was using it correctly, he left with a clear path to using AI more intentionally — with agents he now knows how to explore — and identified 7 hours per week of recoverable time.

MS

Industry

Islamic Education & Dakwah

Role

Executive Dakwah Iqra & Quran Coordinator | 5 Months

Location

Singapore

Course

Mastering Agentic AI — Klicco Academy, August 2026

The Challenge

Using AI — But Without the Agent Layer

📧

Replying to emails — particularly in a role that requires consistent, respectful community communication — was taking significant time without AI support for drafting, structuring, or managing the volume.

✅

Managing tasks and deadlines manually — without a structured AI-assisted tracking system — was creating the risk of things slipping through across multiple concurrent coordination responsibilities.

🔍

Research for educational and dakwah content was conducted without a structured AI workflow, making it slower and more fragmented than it needed to be.

🤔

General AI use without targeted application to recurring tasks — Muhammad Shazwan was using AI generally but without certainty about whether his existing use was correct or comprehensive.

The Solution

Mastering Agentic AI — Klicco Academy

🧭

What to Explore — Now Clear

Muhammad Shazwan left knowing at least what he can explore with agents — a crucial shift from uncertain general use to intentional, directed exploration.

🤖

Agents Introduced and Ready to Build

The workshop introduced AI agents as the next layer of structured automation — with Muhammad Shazwan more curious to explore further with his agents and a clear direction for building them.

📬

Email and Task Management Framework

Replying to emails and tracking deadlines — the two biggest operational pain points — were identified as prime targets for AI-assisted workflows, giving a clear starting point.

⏰

7 Hours Per Week Reclaimed

Across emails, task tracking, and research, approximately 7 hours per week was identified as recoverable through structured AI use — hours returned to the coordination and community work.

Project Timeline

1

Before Workshop

5 months into Islamic education coordination; using AI generally; emails, task tracking, and research all manual

2

August 2026

Attended the full-day hands-on Mastering Agentic AI workshop facilitated by Abdul Adzhim at Klicco Academy, Singapore

3

During Session

Introduced to AI agents; identified email and task management frameworks; learned structured research workflow

4

Post-Workshop

~7 hours per week identified for recovery; clear path to being more organised with AI agents

The Results

Numbers That Matter

7 hrs/wk

Time Identified for Recovery

General→Intentional

AI Use Direction Shift

Agents ready

To Build for Coordination Tasks

Organised

Clear Path Forward with AI

"Before today I was just using general AI. Now I am more curious to explore further with my agents. I now know how to work faster and focus on more important matters."

— Muhammad Shazwan Bin Mansoor, Executive Dakwah Iqra & Quran Coordinator · Mastering Agentic AI, Klicco Academy · August 2026

Technology Stack

Claude (Anthropic)AI AgentsEmail AutomationTask & Deadline Tracking
Klicco

Using AI generally — ready to use it intentionally?

Join Mastering Agentic AI and learn what agents can do for your specific role — moving from general AI use to structured, agent-powered workflows.

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