AI That Does Not Degrade. A System That Learns.
80% of enterprise AI projects fail not at deployment, but in month 3. Not because of bad architecture. Because of missing maintenance.
Premium architecture for executive control
The Demo Is Impeccable. Month 3 Is a Different Story.
AI systems degrade. Your company's vocabulary changes. Processes evolve. Documents go out of date. An agent that is not calibrated starts giving wrong or outdated answers without anyone noticing — until the damage is already done.
Continuous Calibration is not passive maintenance. It is an active weekly improvement process with a Six Sigma methodology: measure, analyze, correct, and verify. The system does not just stay alive. It improves every month.
Six Sigma: Measured Precision, Not Promised
< 1%
Target error rate< 24h
Failure correctionWeekly
Metrics reviewMonthly
Calibration reportDo You Have an Installed AI That No Longer Works as Well as Before?
Weekly Failure Analysis
Review of every error log from the week. Severity classification. Prioritized correction plan.
Index Updates
Automatic reindexing of new or modified documents. The system always knows the latest information.
Parameter Tuning
Refinement of prompts, confidence thresholds, and relevance filters based on failure analysis.
Monthly Report
Executive report with usage metrics, accuracy, corrected failures, and improvement recommendations.
Continuous Model Training
Incorporation of new use cases as training examples to improve future accuracy.
Security Audit
Monthly review of access controls, audit logs, and potential exposure vectors.