@RuzTV Seems like they don't know how to do email outreach.
I build an email-outbound engine called system3 that connects to each prospect with EXTREME level of personalization which makes them "how the hell he know this much about me"
However, twitter is good as well, keep it up
produce the outcome your client actually needs.
Because clients don't necessarily pay you for how much you know.
They pay you for:
The problem you can solve.
The outcome you can create.
The work you can take off their plate.
That's how I think about being an Operator.
In case you don't know me yet:
I'm the Grey Hat Guy.
I'm:
→ An operator
→ A fractional GTM guy
→ A 1:1 partner for founders
→ Helping with admin, operations & delivery
→ Slightly obsessed with cold-email outbound
Basically, I like figuring out:
"How do we get shit done?"
Now, before you think:
“Another jack of all trades.”
Here's the thing.
You don't need to be an absolute expert at everything.
You can have beginner-to-intermediate level expertise across a few different areas...
And still..
what the AI was about to say.
The result?
~7% reply rate.
The biggest lesson:
Cold outreach automation isn't about sending more emails.
It's about removing the robotic parts without removing the context.
positive, another workflow would read the entire conversation and generate a contextual reply.
Not:
“Thanks for getting back to me! Would love to schedule a call.”
Actually responding to what the person said.
Before sending, it would alert me on Telegram so I could review..
I built an AI cold outreach system that didn't just send emails.
It researched the prospect.
→ Found relevant context
→ Wrote a personalized email
→ Sent it automatically
→ Monitored the reply
But the interesting part came after someone replied.
If the response was..
@GardRogne Plot twist: the best AI automation expert probably isn't obsessed with AI automation😅
They’re obsessed with finding the one broken process that’s costing the business time every day - and fixing it.
I'm currently doing this with businesses that have repetitive operational workflows they want to reduce.
If there's a process inside your company that your team keeps saying:
“There has to be a better way to do this.”
Send me “PROCESS”.
I'll take a look at it.
Then I'd calculate:
How often does it happen?
How much time does it consume?
How much does it cost?
What happens if we get it wrong?
And only then would I decide whether it deserves an automation.
That's where I think AI can create leverage.
Not because AI can 'do everything.'
But because it can remove the repetitive layer of work sitting between your people and the work that actually matters.
Looks relatable?
LMK in the comments!
Most companies don't have a productivity problem.
They have a repetitive work problem. Someone is:
→ Copying data from one system to another
→ Downloading reports every week
→ Cleaning spreadsheets
→ Building the same report
→ Manually moving information between tools
None of these tasks look significant individually.
But add them together.
5 employees × 2 hours/week × 50 weeks
That's 500 hours/year.
And that's just one process.
The interesting part?
A lot of this work doesn't require more employees.
It requires a better system.