I Cut 80% of My Workload Using These 6 AI Workflows — And Became the Go-To Expert in My Company
Last Updated on December 4, 2025 by Editorial Team
Author(s): Usman Ahmad
Originally published on Towards AI.
From “why am I drowning?” to “why is my calendar suddenly free?”
Three months ago, I was staring at my terminal as it owed me an apology.

In this article, the author shares how they were overwhelmed with work until they implemented six AI workflows that dramatically reduced their workload by 80%. Each workflow is designed to automate repetitive tasks that previously consumed their time, allowing them to focus on more impactful work. The article emphasizes the transformative power of AI in enhancing productivity and suggests that developers should aim to automate not just their code, but their work systems entirely, leading to more efficient processes and better overall results.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.