Managed AI is an operating model
A managed AI engagement should cover more than model access. It normally includes use-case definition, data preparation, integration, monitoring, security, support and a process for improving the solution as users and business rules change.
Questions to ask a provider
- Which business outcome and user workflow will the AI improve?
- What data is required and who remains responsible for its quality?
- How are access, privacy, approvals and human review controlled?
- How will failures, drift, cost and performance be monitored after launch?
- What support and change-management process is included?
Start with a controlled workflow
A focused workflow with clear inputs, users, controls and success measures is usually a better starting point than deploying AI broadly. Once the operating model is dependable, additional use cases can be added in phases.