8–12 Hours of Data Analysis Down to 15 Minutes
A Co-Founder and Head of Strategic Growth with 10 years of experience was already using Claude — but using it wrong. The workshop gave him the specialised AI employee framework that reduced data analysis from a full working day to 15 minutes and identified 18 hours per week to reclaim.
Industry
Strategic Growth & Business Development
Business Type
Co-Founder & Head of Strategic Growth, Tashkila
Location
Singapore
Course
Mastering Agentic AI — Klicco Academy, June 2026
The Challenge
Already Using Claude — But Using It Wrong
Data analysis consumed 8–12 hours per cycle — a full working day or more — before Adil could extract the insights he needed to make strategic decisions. For a co-founder responsible for growth, that meant operating on incomplete information for days at a time.
AI was being used without the right framework — Adil was already in Claude and appreciated its efficiency, but without the specialised employee structure, he was leaving the majority of the tool's capability untouched.
Strategic planning was constrained by the analysis bottleneck — when data analysis takes 8–12 hours, the time available for strategic planning and growth work shrinks accordingly, limiting output across the entire growth mandate.
18 hours per week were being lost to slow data and analysis processes — one of the highest estimates across all workshop participants — time that should have gone into strategic decision-making, not manual data crunching.
The Solution
Mastering Agentic AI — Klicco Academy
Specialised AI Employees Built for Distinct Functions
Adil built AI employees each specialised in specific skills — moving from a generalised AI workflow to a structured system where each function has a dedicated, optimised tool working on his behalf.
Data Analysis: 8–12 Hours Reduced to 15 Minutes
The most transformative result of the session. A data analysis process that consumed 8 to 12 hours was demonstrated — live, during the workshop — to be achievable in 15 minutes with correctly deployed AI.
AI Automation Deployed Efficiently
Adil left with a framework for automating the right parts of his workflow efficiently — not just using AI for tasks, but structuring it to run independently on recurring analytical and operational functions.
Correct Use of Claude — Not Just Frequent Use
The workshop corrected the foundational misapplication — giving Adil the structured framework that transforms Claude from a useful tool into a high-output system for strategic growth work.
Project Timeline
Before Workshop
Already using Claude — but without the specialised employee framework; data analysis consuming 8–12 hours per cycle
June 2026
Attended the full-day hands-on Mastering Agentic AI workshop facilitated by Abdul Adzhim at Klicco Academy, Singapore
During Session
Built specialised AI employees; reduced data analysis from 8–12 hours to 15 minutes live during the workshop
Post-Workshop
18 hours per week identified for recovery — redirected entirely towards strategic planning and growth initiatives
The Results
Numbers That Matter
15 Min
Data Analysis (was 8–12 hours)
18 hrs/wk
Time Identified for Recovery
Specialised
AI Employees Built for Distinct Functions
Strategic
Focus Shifted to Planning & Growth
"Before today I was using Claude the wrong way. Now I am using it better. Creating specialised AI employees and automating efficiently has helped me focus on better strategic planning and growth."
— Adil, Co-Founder & Head of Strategic Growth, Tashkila · Mastering Agentic AI, Klicco Academy · June 2026
Technology Stack
Using AI — but using it wrong?
Join Mastering Agentic AI and learn the specialised employee framework that turns Claude from a useful tool into a high-output system — and reclaim hours every week.
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