Your AI works perfectly today. What about in 6 months?
Eighty percent of enterprise AI projects fail in the first 90 days due to lack of maintenance. Audit and Continuous Calibration keeps your system at optimal performance month after month, without you having to worry about it.
Premium architecture for executive control
The AI installed 6 months ago no longer works the same. Nobody knows why.
Silent degradation
The first week the system works perfectly. Months pass, documents and processes change, and the system keeps answering with old references. Performance declines without a clear signal until the failure becomes visible.
Failures nobody analyzes and that keep repeating
Many AI projects degrade between month 3 and month 12 not because of bad initial implementation, but because nobody maintains them. When that happens, the company keeps paying for a system that answers worse every week.
The provider that disappears after delivery
When nobody continuously calibrates the system, a late recovery ends up costing more than the monthly maintenance that was avoided.
The calibration team working on your system while you work on your business
Audit and Continuous Calibration is the monthly active maintenance service that keeps any enterprise AI system at optimal performance. It works with AuroraCortex systems or with any third-party system that allows access to logs and configuration.
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Monthly analysis of logs and detected incorrect answers
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Correction and recalibration of the responsible agent or prompt
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Policy and knowledge-base updates
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Monthly executive report with metrics, corrected failures, and applied improvements
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30-minute monthly review meeting with your team
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Compatible with AuroraCortex systems or third-party systems
Gartner and McKinsey converge on one key idea: most enterprise AI failures do not come from the initial installation, but from the lack of active maintenance, knowledge updates, and continuous calibration. The conclusion is simple: an AI system is not a project. It is a living service that requires active care.
Source: Gartner / McKinsey 2024Six Sigma sets an objective of extreme defect reduction. Applied to enterprise AI, we set a pragmatic target: less than 1% error rate in responses and actions. We measure it with three metrics: error rate, detection time, and correction time. These metrics are reported every month. They are not estimates. They are data.
Real scenarios
Four months after deployment, the team was reporting strange answers. Usage had dropped by 40%.
Internal documents had been updated, processes had changed, and the system kept answering with obsolete references. The team stopped trusting it.
Implementation: 3-week audit, full recalibration, and monthly maintenance plan.
Usage recovered to 90% of peak in 3 weeks. The audit identified 127 outdated documents and 14 poorly calibrated prompts.
Maintenance was on demand and never happened. The system had significantly degraded.
They had contracted an AI system from another provider. Post-sales maintenance was reactive and late. The system silently degraded for 8 months.
Implementation: Technical audit plus monthly maintenance plan on the third-party system.
Performance recovered to 85% in 6 weeks. Savings versus replacing the system: €45,000.
Active maintenance cycle
Baseline audit
We audit the system’s current state: existing failures, outdated knowledge, poorly calibrated prompts, and real performance level.
Month 1 — inherited fixes
We correct the problems identified in the baseline audit to restore the system to optimal level.
Weeks 1–2 — analysis and correction
We review logs, classify error patterns, and apply calibration corrections.
Weeks 3–4 — update and report
We update the knowledge base and deliver the monthly report with the review meeting.
Investment and return
Indicative pricing by number of AI systems. The exact price is defined in the initial technical audit.
1 system
€800
€450/month
Maintenance of 1 AI system
Full monthly cycle
30-minute monthly meeting
Urgent SLA: response <2h / resolution <24h
6-month minimum
Up to 3 systems
€800
€850/month
Maintenance of up to 3 AI systems
Everything in the 1-system plan
Unified metrics dashboard
Team training included
6-month minimum
>3 systems
Contact us
From €1,200/month
More than 3 AI systems
Pricing by number of systems and complexity
Contract-defined SLA
Dedicated engineering
Custom integrations