AI-Powered Automation for Canal Digital
Mir Arshad Ali Talpur
Agentic Automation System That Saved a Founder 10+ Hours/Week
— A real case study on using automation to unlock business clarity & scale
When I talk about automation, I don’t mean “nice-to-have tools.”
I mean systems that think, act, and operate on behalf of the business — reducing noise, speeding up decisions, and giving founders their time back.
Recently, I built a full end-to-end automation system for a fast-growing founder who was drowning in repetitive tasks:
Checking emails
Extracting client details
Manually replying
Booking calls
Updating Notion
Reviewing transcripts
Writing summaries
Preparing proposals
He wasn’t scaling — he was stuck maintaining.
By designing an agentic automation workflow using Make.com, Notion, GPT, Email, JSON parsing, Webhooks, Circleback, Calendly, and Google Workspace, I helped him reclaim 10+ hours every single week and create a more predictable, scalable pipeline.
Here’s what I built 👇
⚙️ 1. Intelligent Email → CRM Pipeline (Zero Inbox Time)
The founder used to spend hours checking inbound emails to see which were leads, which needed replies, and which needed to be added to the CRM.
I automated the entire process.
🔹 How it works:
Make.com captures and scans incoming client emails
Extracts names, contact details, project context, intent, and availability
Cleans the data using JSON parsing
Automatically creates a record in Notion
Generates a personalized email reply
Sends a customized Calendly link for instant call booking
🎯 Outcome:
The founder completely stopped checking emails
Every lead now receives a professional, fast, personalized response
Lead capture accuracy is now 100%, not dependent on manual attention
This alone removed hours of weekly operational drag.
🎙️ 2. Automatic Meeting Intelligence (Transcripts → Summaries → Notion)
After every client call, the founder used to read the transcript, extract insights, and update the CRM manually.
Now the system handles everything.
🔹 How it works:
Circleback sends the transcript via email
Make.com parses it instantly
GPT creates:
A clear summary
Action steps
Key points
Lead quality insights
Everything is stored in Notion inside a structured database
🎯 Outcome:
No manual note-taking
Every meeting is documented consistently
Data is organized and usable instead of collecting dust
😀 3. Automated Sentiment Analysis (Who Is a Good Lead?)
Not all calls are equal.
Some clients are ready to buy, and others aren’t interested at all.
So I built a sentiment scoring system.
🔹 How it works:
GPT analyzes the call summary
Scores the sentiment
Labels each lead as positive or negative
🎯 Outcome:
The founder instantly knows where to focus
No emotional guessing
No reading transcripts
The business now prioritizes intelligently.
📄 4. One-Click Proposal Generator (From Notion → Google Docs → Drive)
Before this system, proposal writing took 20–40 minutes of manual work.
Now, it takes one click.
🔹 How it works:
When a lead is labeled “positive,” they move into a “Proposal Needed” stage
A Notion button triggers a Make.com webhook
A personalized proposal is auto-generated in Google Docs
Saved directly into Google Drive with the right naming conventions
🎯 Outcome:
Proposals are produced instantly
Follow-up speed increased
Close rate improved
Founder saves more time every single week
🧠 **The Bigger Picture:
Automation Isn’t About Tools — It’s About Business Clarity**
When I design automation, I’m not trying to replace people.
I’m removing friction so founders can operate at their highest level.
What this system delivered was more than convenience:
✔ A clear, repeatable client pipeline
✔ Zero dependency on manual effort
✔ Instant documentation and insights
✔ Faster conversions
✔ Freedom from operational chaos
✔ An additional 10 hours/week reclaimed
This is what automation looks like when it’s tied directly to business outcomes, not just “cool workflows.”
🔥 Final Thought
A founder’s time shouldn’t be spent checking emails, writing summaries, or creating proposals.
It should be spent closing deals, directing vision, and building the business.
Automation makes that possible — not by adding more tools, but by building agentic systems that operate like an extension of the business itself.
If you're scaling and the operations feel heavy, it's not a sign that you need more effort.
It’s a sign that you need better systems.
Like this project
Posted Nov 26, 2025
Automated workflows and optimized campaign oversight for Canal Digital using AI. An agentic system that removed operational barriers and saved 10 hours week
