AIMMe

Assessment of AI Maturity Model for Example Company:

Strategy and Vision: You mentioned AI is strategic and well-funded in your organization, indicating a clear vision and commitment. However, the actual integration into production appears cautious. Stage: 3
Data Management: Data quality is described as just okay with notable noise, suggesting challenges in leveraging data as a strategic asset fully. Stage: 2
Technology and Infrastructure: You’re leveraging major AIaaS and have experimented with models in production, hosted on Databricks. This shows a good level of technological readiness, though not yet fully optimized. Stage: 3
People and Culture: There is a dedicated training program by AI specialists, which points to a strong AI-adaptive workforce and an AI-ready culture. Stage: 4
Governance and Ethics: The presence of a change management board suggests sound governance, though it also introduces delays in AI solution delivery, indicating a focus on risk management that could hinder agility. Stage: 3
Performance and Scalability: Monitoring is done through service provider dashboards, showing an awareness and active management but perhaps not a full optimization or proprietary monitoring solution in place yet. Stage: 3