A wrong assumption of B2B founders
B2B owners think they lack AI talent.
Most of the time, they don’t.
After building 30+ internal AI systems and talking to dozens of execs, I noticed a pattern.
Teams spend months and serious money hiring AI roles they never needed.
The cost stacks up fast:
expensive salaries
long hiring cycles
recruiter fees
Yet the teams actually moving forward with AI are doing something simpler.
They change how work is structured.
I call this DECISION REDESIGN.
The wrong assumption
Being AI-first means hiring AI specialists.
That belief slows teams down.
What works instead
1) Redesign roles around human strengths
Most roles are bloated with repetitive work.
AI should remove that.
Free people to focus on:
decisions
context
communication
If AI adds work, you designed it wrong.
2) Teach teams how to work with AI
Teams should be comfortable using modern tools.
More important than tools:
They must know when to use automation and when to stop it.
Weekly internal sessions work well.
Short. Practical. Role-specific.
3) Assign clear ownership
One person owns AI adoption.
Not strategy slides.
Not tools.
Adoption.
Someone who understands how work actually happens and has authority to change it.
This is the most critical part.
We once shipped a lead qualification system that worked perfectly.
Technically flawless.
And then nothing happened.
Slowly, the team stopped using it.
Why?
No owner.
No one responsible for making the change stick.
TL;DR
Decision redesign comes before AI transformation
Making your existing team AI-native beats hiring an AI-native team
Tag the person responsible for AI adoption in your team, if you have one.
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5 comments
Diptamoy Barman
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A wrong assumption of B2B founders
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