I’ve been working on something exciting behind the scenes.
Most TAB workflows today still rely on manual entry, handwritten notes, and fragmented tools. It slows everything down and introduces unnecessary errors.
So I started building a different approach.
An AI-powered system that can:
• Read handwritten test sheets
• Convert voice input into structured data
• Process field data into automated reports
• Combine voice and images to trigger full workflow automation
The goal is simple — reduce manual work, improve accuracy, and standardize reporting across projects.
This is just the beginning, but I’m looking forward to sharing more as it evolves.
If you’re in TAB, commissioning, or building systems — I’d love to connect and hear your thoughts.
LumaClean was losing hours to manual quoting, scheduling, confirmations, rescheduling, and follow-up. LumaFlow turns that entire process into one automated booking workflow.
I built LumaFlow for a fictional Chicago cleaning business, LumaClean.
The problem was simple: too much back-and-forth just to turn a customer inquiry into a confirmed booking.
n8n is absolute gold for orchestrating lead pipelines like this! Connecting Gmail parsing with LLM qualification saves teams dozens of hours weekly. As someone who builds custom agentic lead automation workflows, seeing clean visual architectures like this is super satisfying. Top-tier build, Talha!.