MANAGED AI_
Service · Ongoing Operations
Managed ai services that keep your models performing after go-live.
For teams that have AI in production and need a dedicated partner to monitor it, maintain it, and continuously improve it without building an internal MLOps team.
Engagement: $3K to $50K per month
Commitment: Month to month or annual
Team: 1 customer success manager + on-call engineers
Output: SLA-backed AI operations
AI Model Monitoring and Maintenance
AI THAT
WORKS NEXT
MONTH TOO.
AI models degrade silently. Data shifts, edge cases multiply, and accuracy drops before anyone notices. Our managed ai services keep your models monitored, maintained, and continuously optimized so your AI investment performs in month 18 the same way it performed in month one.
99.7%
Avg system uptime
Across managed deployments
30 day
Notice to scale up or down
No lock-in contracts
48 hr
Avg incident response time
For standard tier clients
80%
Client inquiries resolved by AI
Post managed ai services deployment
Ongoing operations · Four pillars
THE METHOD
Our managed ai services operate across four continuous pillars. Each one runs in parallel from the first day of your retainer.
Pillar 01 · CONTINUOUS
AI Model Monitoring
Real-time ai model monitoring across accuracy, latency, data drift, and output quality.
Accuracy and drift monitoring
Latency and throughput tracking
Anomaly alerts with root cause
Weekly performance reports
Pillar 02 · SCHEDULED
AI Maintenance and Updates
Scheduled ai maintenance covering patches, dependency updates, compliance reviews, and version control.
Security and dependency patches
Model version control
Compliance review cadence
Change log and audit trail
Pillar 03 · TRIGGERED
Model Retraining
When ai model monitoring detects drift or degradation, we trigger retraining and benchmark validation.
Drift-triggered retraining
Champion-challenger pipeline
Benchmark validation
Staged rollout to production
Pillar 04 · ON-DEMAND
Support and Optimization
On-call technical support for incidents, integrations, and feature enhancements.
Named customer success manager
On-call incident support
Feature enhancement requests
Monthly executive review
Six deliverables
WHAT YOU GET EVERY MONTH
01 -
AI Model Monitoring Dashboard
Live visibility into model accuracy, prediction confidence, input data quality, latency, and cost per inference.
02 -
Weekly Performance Report
Concise weekly summary of model health, incident log, retraining activity, and emerging drift signals.
03 -
Monthly Executive Summary
One-page monthly summary tied to business KPIs, including cost-vs-value analysis.
04 -
AI Maintenance Log
Audit trail of every patch, update, config change, and model version update applied during the month.
05 -
Retraining Reports
Full report whenever retraining is triggered: trigger signal, data used, improvements, and champion-challenger result.
06 -
SLA and Incident Reports
Documented response times, resolution logs, and SLA performance for every incident during the month.
What clients say
TRUSTED BY TEAMS THAT SHIP
"We went live with our fraud detection model and handed it to alien.fi for managed ai services. Six months later, accuracy had improved by 12% through three retraining cycles we did not have to manage ourselves." -- Chief Technology Officer, Regional Insurance Company
"Their ai model monitoring caught a data drift issue two weeks before it would have caused a significant accuracy drop." -- VP of Data Science, Mid-Market Financial Services Firm
"We do not have an internal MLOps team. alien.fi's managed ai services are our MLOps team." -- Head of Technology, Healthcare Provider Group
Got questions
FAQS