What Success Looks Like

User Adoption

• Increase active engagement across business users, analysts, developers, and operational teams.
• Demonstrate sustained growth in product adoption and usage.

Accuracy and Trust

• Deliver reliable AI experiences with measurable improvements in response quality, relevance, and user satisfaction.
• Establish evaluation frameworks that ensure transparency and confidence in AI-generated outputs.

Productivity Impact

• Improve business, analyst, and developer productivity through AI-powered automation and insights.
• Reduce manual effort and accelerate access to information and decision support.

Scalability and Enablement

• Enable onboarding of additional domains, functions, and teams through reusable AI capabilities and improved metadata quality.
• Increase organizational readiness for enterprise AI adoption.