Products need ongoing stewardship - monitoring, maintenance, improvement, and protection. AI can serve as this steward: watching for problems, flagging opportunities, handling routine maintenance, and alerting you to issues requiring human judgment. This frees you to create new products while existing ones continue performing.
Key Takeaways:
- Products need ongoing stewardship
- AI can handle routine monitoring and maintenance
- Stewardship extends product productive life
- Freed capacity enables new creation
- Balance automation with human judgment
Playbook
Define stewardship responsibilities for each product
Implement AI monitoring for key metrics
Create maintenance playbooks AI can follow
Set escalation thresholds for human involvement
Review stewardship effectiveness regularly
Common Pitfalls
- Over-delegating judgment to AI
- Ignoring AI alerts until crisis
- Stewardship that costs more than value
- Missing issues outside AI's monitoring scope
Metrics to Track
Product health scores over time
Issue detection and resolution time
Stewardship cost vs. product revenue
Human intervention frequency
Product longevity with vs. without stewardship
FAQ
What does AI stewardship actually do?
Monitors performance metrics, checks for broken links, identifies outdated content, tracks customer feedback, and handles routine updates.
How much oversight do I need to provide?
Regular reviews of AI decisions and metrics, plus judgment on escalated issues. The goal is reduced but not eliminated attention.
When should I retire a product vs. steward it?
When stewardship costs exceed revenue or when the product no longer serves customers well despite maintenance. Sometimes retirement is the right choice.
Related Reading
Next: browse the hub or explore AI Operations.