AI Performance Monitoring
AI needs monitoring. This workflow monitors it.
AI Performance Monitoring
AI Performance Monitoring is the systematic approach to ai is unmonitored, degrading silently. This guide defines the problem, workflow, and human-review requirements.
AI needs monitoring. This workflow monitors it.
Problem definition
AI is unmonitored, degrading silently.
Observable symptoms
- ✓The problem recurs despite effort
- ✓No systematic approach exists
- ✓Manual workarounds do not scale
- ✓Outcomes are inconsistent or unmeasured
Likely causes
- ✓No defined process for this problem
- ✓Manual handling that varies by person
- ✓No automation to enforce consistency
- ✓No review or measurement of outcomes
Required inputs
- ✓A defined process
- ✓A system to track and enforce it
- ✓Clear ownership
- ✓Measurement of outcomes
Recommended workflow
Follow this sequence to address the problem systematically.
- ✓Define the process for this problem
- ✓Implement the workflow steps systematically
- ✓Add automation for repeatable steps
- ✓Set human review checkpoints for judgment decisions
- ✓Measure outcomes and refine
- ✓Document and train the team on the process
Automation boundaries
Automation handles repeatable steps and tracking. Judgment decisions, exceptions, and strategic choices require human review.
Human review requirements
A person reviews judgment decisions, handles exceptions, and is accountable for outcomes. Automation enforces consistency.
Risks
Implementing the workflow without measuring outcomes creates a process that may not actually solve the problem. Measure and refine.
Limitations
No workflow is perfect. Continuous review and refinement based on outcomes is essential to keep it effective.
Measurement criteria
Track the occurrence of the problem before and after, the time to resolution, and the outcomes of the workflow.
Frequently Asked Questions
What is ai performance monitoring?
It is the systematic approach to ai is unmonitored, degrading silently, combining process, automation, and human review.
Can this be fully automated?
No. Repeatable steps can be automated, but judgment decisions and exceptions require human review.
How do we measure success?
By tracking the occurrence of the problem, the time to resolution, and the outcomes before and after implementing the workflow.
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