AI maintenance: Keep your production models accurate and reliable
A managed service to detect drift, quickly adjust, and sustain results with SLAs and a business dashboard. It reduces operational risk and ensures seamless continuity.
- Detects model drift and data drift before it impacts
- Fast, measurable, and frictionless adjustments
- Executive report and impact dashboard
When AI became misaligned, the cost had already begun.
The deterioration of AI models in production has a silent but measurable impact. Identify the warning signs before the problem escalates and affects critical business decisions.
Loss of confidence
Inconsistent outputs that generate doubts among users and reduce internal adoption of the system
Wrong decisions
Model drift directly impacts operations, business, and the quality of delivered results.
Invisible rework
Emergencies, constant patchwork solutions, and time wasted putting out operational fires
AI-managed maintenance from alert to remediation
We monitor and maintain your machine learning models to ensure they continue to generate value without interruption. This isn't reactive support; it's continuous operation with service level agreements (SLAs), proactive alerts, and constant model optimization.
- Monitoring AI models in production: Constant surveillance with automatic alert systems.
- Continuous updating: Implementation of iterative adjustments with measurable results.
- Reporting and control: Delivery of monthly reports and impact dashboards designed for business owners.
Our services include:
Managed operation
Ongoing maintenance without expanding your internal team
Integration with your stack
Compatibility with existing tools and current pipelines
Business Visibility
Clear dashboards that communicate real value and impact
Benefits of managed AI service with SLA
Achieve a structured operation that integrates technology, processes, and governance to ensure the long-term accuracy and reliability of your AI systems.
- 24/7 MonitoringDrift, latency, and cost alerts with continuous monitoring of critical performance metrics
- Adjustments and improvementsMeasurable and iterative changes based on real production data
- Impact boardClear visibility for stakeholders: clarity in decisions and measurable ROI
- SLAs and reportsPredictable, governed and documented operation with precision metrics (RMSE, F1, Accuracy)
Who is this service ideal for?
Designed for organizations that rely on production models and need to reduce operational risk while maintaining speed of business.
- Companies with AI in productionCritical systems in operation that require sustainability and continuous reliability
- Teams with multiple critical modelsComplex management that requires centralized visibility and scalable operation
- Organizations with an existing stackEstablished technological infrastructure that requires seamless integration
- Operations where error costsSectors such as finance, automotive, food and mining where precision is non-negotiable
Frequently Asked Questions
Why does a model degrade if it already works?
Data evolves. Data drift and model drift occur when reality changes and the model does not adapt, progressively losing accuracy.
Do I need a large internal team?
No. The service is managed. We operate autonomously and coordinate flexibly with your point of contact according to your needs.
What exactly do they monitor?
Model drift, data drift, latency, computational cost, prediction accuracy, and anomalies in input and output distributions.
How do they control hidden risks and costs?
With AI governance and sustainability: preventative alerts, validated iterative changes, and continuous optimization of computational resources.
How do they measure improvement?
With standard metrics tailored to your needs: RMSE for regression, F1 and Accuracy for classification, plus relevant business indicators.
What happens if it doesn't deliver value?
The pilot program includes a Go/No-Go decision. If we don't reach defined goals, we don't continue. No forced commitments.
Does it include business reports?
Yes. Monthly executive report plus ongoing impact dashboard with clear visibility for non-technical stakeholders.
How do I begin?
With initial diagnosis or direct to a 4–6 week pilot. We evaluate critical models, define metrics, and get started quickly.
Make your AI always work like it did on day one.
Maintain AI models with continuous monitoring, measurable adjustments, and executive visibility for the business. Reduce risks, ensure operational continuity, and free up capacity for your internal team.
Managed service, measurable approach, operation with SLA
Have a project in mind?
Get in touch, we're ready to help you.