Stop Playing AI on Hard Mode
Most companies approach AI implementation backward, focusing on flashy products instead of practical adoption. As someone who’s studied successful AI transformations, I’ve observed a clear pattern that works better. Let me share the strategic progression I’ve seen deliver real results.
Table of Contents
Start Simple
I’ve noticed that executives often try to be heroes by building elaborate new AI products for press coverage and peer recognition.
But that’s playing AI on hard mode.
The smarter approach? Start with the basics and build up gradually.
Phase 1: Single Player Tools
The journey begins with individual-level adoption:
- Train team members to use ChatGPT for their specific work needs.
- Get engineers comfortable with Claude/Codex to boost productivity.
Phase 2: Individual Processes
Next, focus on rebuilding single-task processes.
For example, create an AI system for handling support tickets that one person manages.
Phase 3: Product Enhancement
Now you can start enhancing existing products.
Think about how Notion implemented its AI chat feature. It’s a perfect example of adding AI capabilities to a non-AI-native product.
Phase 4: Team Processes
This is where things get more complex.
You’re ready to rebuild multi-step processes that require coordination across teams, like revamping your entire sales process with AI integration.
Phase 5: AI-Native Solutions
Finally, you can consider building products that could only exist because of generative AI.
Consider tools like Gamma for presentations; they represent truly AI-native solutions.
Conclusion
The path to becoming an AI-first company isn’t about making headlines; it’s about methodical implementation, starting with your people and existing processes.
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