2
Adopter
Standardized tools, measurable results
Organizations at Level 2 have moved beyond experimentation to standardize AI tool usage in specific departments or workflows. There are official licenses, basic training programs, and initial measurement of results. AI is becoming part of how certain work gets done.
Human Involvement: 75%AI Automation: 25%
Key Characteristics
- Company-licensed AI tools deployed to teams
- Basic training programs for AI tool usage
- Select workflows actively using AI assistance
- Initial productivity metrics being tracked
- Emerging AI governance and guidelines
- Budget allocated for AI tools and training
Common Challenges
- Scaling successful pilots across the organization
- Maintaining consistent usage and adoption
- Integrating AI tools with existing systems
- Building internal AI expertise
- Managing change and overcoming resistance
Opportunities at This Level
Proven ROI to justify expanded investment
Growing internal expertise and confidence
Clear use cases for expansion
Competitive advantage in select areas
Foundation for deeper integration
Next Steps to Progress
1Expand successful AI implementations to new departments
2Develop comprehensive AI training curriculum
3Create formal AI governance framework
4Establish cross-functional AI committee
5Begin documenting processes for AI integration
6Evaluate advanced AI tools and custom solutions
Case Study: E-commerce Retailer
Challenge
Customer service team overwhelmed with tickets
Action Taken
Deployed AI-powered ticket categorization and response drafting
Result
45% faster response times and 30% reduction in escalations
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