1

Explorer

Curiosity-driven experimentation

At Level 1, individual employees have begun experimenting with AI tools like ChatGPT on their own initiative. There's growing interest but no organizational strategy or coordination around AI usage. Knowledge is siloed and results are not systematically tracked.

Human Involvement: 95%AI Automation: 5%

Key Characteristics

  • Individual employees using ChatGPT or similar tools
  • Informal, uncoordinated experimentation
  • No company-wide AI policy or guidelines
  • Results and learnings not tracked or shared
  • Potential security and compliance risks
  • Growing curiosity but limited strategic direction

Common Challenges

  • Shadow AI usage creating security risks
  • Inconsistent quality of AI-assisted work
  • Knowledge not being shared across teams
  • No measurement of AI impact or ROI
  • Potential for duplicate effort and wasted resources

Opportunities at This Level

Identify internal AI champions and early adopters
Learn from grassroots experimentation
Build momentum for formal AI initiatives
Discover high-value use cases organically
Low-cost proof points for leadership buy-in

Next Steps to Progress

1Survey employees to understand current AI usage patterns
2Document successful experiments and use cases
3Create basic AI usage guidelines and policies
4Identify AI champions who can lead knowledge sharing
5Evaluate enterprise-grade AI tools for standardization
6Establish a small AI pilot budget

Case Study: Marketing Agency

Challenge

Scattered ChatGPT usage with no quality control

Action Taken

Created AI usage guidelines and weekly sharing sessions

Result

Improved output quality and identified 5 high-value use cases

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