15 Years in Government — Already Implementing AI — And Still Found 20 Hours Per Week to Recover
A government agency professional with 15 years of experience and two years actively implementing AI in the workplace came to the Mastering Claude workshop looking for the next level — specifically how to build agents, link them across a project, and create a master prompt that truly knows their working style. By the end of the session, they had built exactly that — and identified approximately 20 hours per week of recoverable time.
Industry
Government & Public Service
Experience
15 Years in Government | 2 Years AI Implementation
Location
Singapore
Course
Mastering Claude — Klicco Academy, August 2026
The Challenge
Already Implementing AI — But Not Yet Building Agents
Two years of AI implementation experience is a significant head start, but implementing AI across a workplace is different from building a structured agent system. The participant had been using AI broadly — without the agent framework that would let it operate at full capacity.
Case notes, reports, emails, meeting notes, and data entry all remained manual. Case notes alone were taking 1–2 hours each to create manually, across a role requiring significant documentation output.
Approximately 50% of working time was being consumed by administrative tasks that AI could handle — drafting reports, managing emails, preparing meeting notes, and entering data.
The deeper frustration was the gap between knowing AI could help and having the structured agent system to make it help consistently and at scale — no master prompt personalised to individual working style existed.
The Solution
Mastering Claude — Klicco Academy
Multi-Agent System Built and Linked
The participant built multiple agents and linked them within a single Claude project — the specific capability they came looking for, completed during the session itself.
Personalised Master Prompt Created
A master prompt was built that knows the participant's working style — eliminating the need to re-brief AI tools with personal context at the start of every task.
Case Notes: 1–2 Hours Cut to Half
Case note creation — a 1–2 hour manual process — was demonstrated to be reducible to approximately half the time using Claude. Directly applicable to one of the most frequent documentation tasks in the role.
20 Hours Per Week Reclaimed
Across case notes, report drafting, email management, meeting notes, and data entry, approximately 20 hours per week — 50% of working time — was identified for recovery through structured AI deployment.
Project Timeline
Before Workshop
15 years in government; 2 years implementing AI broadly without agent-level structure; case notes taking 1–2 hours each
August 2026
Attended the full-day hands-on Mastering Claude workshop facilitated by Abdul Adzhim at Klicco Academy, Singapore
During Session
Built a multi-agent system linked in one project; created a personalised master prompt; saw case note creation reduced by half
Post-Workshop
20 hours per week — approximately 50% of working time — identified for recovery; advanced agent fluency established
The Results
Numbers That Matter
20 hrs/wk
Time Identified for Recovery (~50% of Working Time)
½ time
Case Note Creation Reduced By
Multi-Agent
System Built and Linked in One Project
Noob→Educated
Agent Creation Fluency Shift
"Before today I was a noob at agent creation. Now I am an educated noob — more versed in creating and using agents in AI platforms. He is very good. Calm and composed yet excited to share about his experience and knowledge."
— Anonymous, Government Agency Professional | 15 Years Experience · Mastering Claude, Klicco Academy · August 2026
Technology Stack
Already using AI — but ready to go deeper?
Join Mastering Claude and learn how to build linked agent systems and personalised master prompts that make AI work at its full capacity in your role.
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