LinkedIn Content Strategy & Writing Style
Inside the companies doing $1M+ revenue per employee
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Haris positions himself as an analyst and builder studying companies that achieve extraordinary revenue per employee, especially those becoming AI-native. His content centers on the shift from people-led growth and fragmented RevOps to system-led, autonomous businesses, using examples like Moss, ElevenLabs, MCPs, GTM engineering, and AI operations to make the transformation concrete. He stands out by combining operator-level process insight with an expansive, optimistic vision of work becoming optional, rather than treating AI as merely a productivity tool. The intersection is especially compelling: he is turning consulting and research into a product that could automate the very work his agency once sold.
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5.0 posts/week
Posts / Week
20
Total Posts Analyzed
HIGH
Posting Frequency
27.8%
Avg Engagement Rate
STABLE
Performance Trend
270
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
88/10
Uniqueness Score
YES
Question Usage
0%
Response Rate
Writing style breakdown
<start of post>
The fastest way to make a company AI-native is not to buy more software.
It is to change how the work gets done.
Most companies still ask people to move information between systems, check reports, update fields, and prepare things for someone else.
That is not a technology problem.
It is an operating model problem.
A person sees a request.
They open five tools.
They copy some data.
They look for missing context.
They create a document.
Then another person reviews it.
This is how work gets done in most companies.
Why does a person have to do this at all?
understand the request
find the relevant data
decide what needs to happen
execute the work
ask for help when it gets stuck
That sounds simple, but it requires more than adding a chatbot to Salesforce.
The data needs to be reliable.
The processes need to be clear.
The systems need to be connected.
And leadership needs to trust the new way of working.
This is where most AI projects fail.
They start with a tool instead of starting with the work.
Meanwhile, the companies that get it right are removing entire layers of manual coordination. Not because their people work harder, but because their systems do more of the work.
That changes the economics of the business.
A small team can serve more customers.
A sales team can spend more time with buyers.
Finance can close the books faster.
Leaders can see what is happening without waiting for a weekly report.
This is not about replacing every person.
It is about removing the work that never needed a person in the first place.
The hard part is not the model.
The hard part is changing the company.
But once the system starts working, it compounds.
Every workflow creates more data.
Every decision improves the next workflow.
Every manual task that disappears gives the team more room to build.
That is the real opportunity with AI.
Not another tool.
A different way to run the business.
Happy building!
<end of post>
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