Managed AI Services in Dubai
AI systems need ongoing care. Fusion AI provides 24/7 monitoring, model maintenance, and incident response so your AI keeps delivering value long after deployment.
AI Systems Degrade Without Maintenance
Deploying an AI model is not the finish line — it's the starting point. Production models face data drift, changing business conditions, and infrastructure issues that erode performance over time. Without active monitoring and maintenance, a model that was 95% accurate at launch can drop to 70% accuracy within months.
Most UAE enterprises don't have dedicated MLOps teams. The data scientists who built the model move on to the next project, and nobody is watching whether the model is still performing as expected. By the time someone notices a problem, the damage is already done — incorrect predictions, poor customer experiences, or flawed business decisions.
Managed AI services solve this by providing dedicated, expert oversight of your production AI systems. Fusion AI handles monitoring, retraining, optimisation, and incident response so you get the sustained value from your AI investment without building an expensive internal operations team.
What We Deliver
24/7 Monitoring
Continuous monitoring of model performance, data drift, latency, and system health. We detect degradation before it impacts your business and alert you with actionable context, not just raw metrics.
Model Retraining & Updates
Scheduled and triggered model retraining to maintain accuracy as your data evolves. We manage the full retraining pipeline — data validation, training, evaluation, and safe deployment of updated models.
Performance Optimisation
Ongoing tuning of inference speed, resource utilisation, and cost efficiency. We identify opportunities to reduce cloud spend while maintaining or improving model performance.
Incident Response
Rapid response when things go wrong — model failures, data pipeline breaks, or unexpected behaviour. Our team diagnoses root causes and implements fixes with minimal disruption to your operations.
Our Process
Onboarding
We audit your existing AI systems, establish monitoring baselines, and set up alerting thresholds aligned with your business requirements.
Monitoring
Continuous automated surveillance of all model and pipeline metrics, with human review of anomalies and trend analysis on a regular cadence.
Maintenance
Proactive model retraining, dependency updates, and infrastructure optimisation to keep your AI systems performing reliably.
Reporting
Regular performance reports with clear metrics, trend analysis, and recommendations for improvements or new capabilities.
Why Fusion AI
Fraction of the Cost of In-House
A managed service from Fusion AI costs significantly less than hiring a full MLOps team. You get senior-level expertise without the overhead of recruitment, training, and retention.
Proactive, Not Reactive
We detect and address issues before they impact your business. Our monitoring catches drift, degradation, and anomalies early — so you avoid costly surprises.
Transparent Reporting
You always know how your AI systems are performing. Regular reports cover model accuracy, system uptime, incident summaries, and recommendations — no black boxes.
Frequently Asked Questions
What SLAs do you offer for managed AI services?
We offer tiered SLAs based on your requirements. Standard includes business-hours monitoring with four-hour response times. Premium provides 24/7 monitoring with one-hour response for critical issues. We define SLA terms during onboarding based on the criticality of your AI systems.
How is managed AI priced?
Pricing is based on the number of models, complexity of your infrastructure, and the SLA tier you require. We offer fixed monthly retainers so you can budget predictably. The cost is typically a fraction of hiring a full-time MLOps team.
What is included in the managed service?
Core services include monitoring, alerting, model retraining, performance optimisation, incident response, and monthly reporting. We can also include data pipeline management, infrastructure scaling, and new feature development depending on your needs.
Can you manage AI systems that were built by another team?
Yes. We regularly take over management of AI systems built by internal teams or other vendors. Our onboarding process includes a thorough audit of the existing architecture, code quality, and operational gaps before we assume responsibility.
How do you handle model drift?
We monitor for data drift and concept drift using statistical tests on incoming data and model predictions. When drift exceeds defined thresholds, we trigger automated retraining pipelines or escalate for manual investigation depending on the severity and business impact.
Ready for Reliable AI Operations?
Let Fusion AI take care of your production AI systems. Book a call to discuss your requirements and get a tailored managed services proposal.
Book a Consultation