2h • General Discussion 💬
AI Decisions Still Belong to You
When a human makes a bad call, responsibility is obvious.
When AI makes a bad call, accountability suddenly gets blurry.
I’ve seen AI systems:
- block legitimate customers
- greenlight risky transactions
- send messages that shouldn’t have gone out
- rank the wrong leads as “high priority”
- trigger automations that caused real damage
And when things broke, the explanation was always the same:
“It was automated.”
Here’s the reality founders need to face:
AI doesn’t carry consequences.
Your company does.
Customers don’t care:
- what model you deployed
- how good the benchmarks look
- whether it was a rare scenario
They only see the result.
And they hold *you* responsible for it.
Everything changed for me when I stopped asking:
“How smart is this system?”
And started asking:
“If this decision is wrong, who eats the cost — financially, legally, and reputationally?”
That question forces better architecture, better guardrails, and better deployment decisions.
If ownership isn’t defined before AI goes live,
the business always pays for it later.
4
3 comments
AI Decisions Still Belong to You
skool.com/ai-automation-society
A community built to master no-code AI automations. Join to learn, discuss, and build the systems that will shape the future of work.
Leaderboard (30-day)
1
🔥
+11694
2
🔥
+7869
3
+3538
4
🔥
+3020
5
🔥
+2055
Powered by