AI Technology
Selecting and deploying the right AI tools
The AI Technology pillar evaluates the AI tools and technologies you've deployed, how well they're implemented, and how their performance is monitored and optimized. It ranges from basic AI assistants to custom-built models.
Assessment Areas
Tool Adoption
Breadth and depth of AI tool usage
L0: No toolsL1: Individual useL2: Licensed toolsL3: Integrated suiteL4: Custom + commercial
Custom Development
Proprietary AI capabilities
L0: NoneL1: ExploringL2: Proof of conceptL3: Production deploymentL4: Competitive advantage
Performance Monitoring
Tracking and optimization of AI outputs
L0: No monitoringL1: Ad-hoc checksL2: Basic trackingL3: Comprehensive KPIsL4: Real-time optimization
Innovation Pace
Speed of adopting new AI capabilities
L0: LaggingL1: Slow adoptionL2: Following peersL3: Early adopterL4: Industry pioneer
Best Practices
- Start with proven, enterprise-grade AI tools
- Pilot new technologies before broad deployment
- Monitor AI performance and accuracy continuously
- Build internal expertise alongside tool adoption
- Maintain a balanced portfolio of build vs. buy
- Stay current with AI developments and trends
Common Mistakes
- Chasing the latest AI trends without business case
- Not monitoring AI accuracy and performance
- Over-investing in custom development too early
- Vendor lock-in without exit strategy
- Ignoring integration requirements
Sample Assessment Questions
1What AI tools and technologies are you currently using?
2How do you measure and monitor AI performance?
3Have you developed any custom AI solutions or models?
4How quickly do you adopt new AI technologies?
5What is your approach to build vs. buy for AI?
Assess Your AI Technology
Take our comprehensive assessment to get detailed scores and recommendations for this pillar and all others.