AI Management –
Keep Your AI Running at Peak Performance
AI management is the ongoing operation, optimization, and scaling of AI systems after deployment. Alice Labs provides managed AI services that ensure your models stay accurate, your integrations stay reliable, and your ROI keeps growing. From model monitoring to organizational scaling—we handle AI operations so you can focus on business outcomes.
What is AI management?
AI management is the operational discipline of running production AI systems — model versioning, drift monitoring, incident response, governance reviews and continuous retraining. It is the post-deployment counterpart to AI implementation, typically delivered as a managed service from €10,000/month per system to ensure long-term reliability and ROI.
Part of the team that delivers
An experienced team with broad AI and tech backgrounds from leading companies
Linus
Co-founder & AI Consultant
Alice
CEO & Co-founder
Jens
AI Consultant
Eric
Co-founder & AI Consultant
Lisa
Project Lead & Implementation
Why enterprises pick Alice Labs
Production-grade AI delivery, EU-native, senior team
Results From Our Clients
Verified outcomes from completed AI implementations
AI Agent for Order Management
Ljusgårda (Supernormal Greens)
- 83% cost reduction
- 70-80% automation
- 6-week implementation
Document Automation: 60h → 3min
Public Sector
- 95% time reduction
- 60h → 3min/doc
- 1000+ hours/month saved
AI-Driven Content Production
Media Company
- $100K first year
- $40K/month recurring
- 12-month build-up
Ready to see similar results?
Book a free discovery call - we'll map your highest-impact AI opportunities.
uptime guarantee
AI systems managed
avg. performance improvement
monitoring & alerting
Why AI Systems Need Management
AI isn't "set and forget"—it requires continuous attention to maintain and improve performance
Model Drift is Real
AI models degrade as data patterns change. Without monitoring, accuracy can drop 20-30% within months. Proactive management catches drift before it impacts business outcomes.
Continuous Optimization
AI systems improve over time—but only with active optimization. Our managed service delivers an average 40% performance improvement in the first year.
Scale with Confidence
Expanding AI from one use case to ten requires infrastructure, governance, and expertise. We help you scale systematically without the growing pains.
Management Services
Comprehensive AI operations—from monitoring to scaling
Model Monitoring
Real-time performance tracking, drift detection, anomaly alerts, and automated health checks across all your AI systems.
Optimization & Retraining
Scheduled and triggered model retraining, prompt optimization, and performance tuning to keep accuracy at peak levels.
Security & Compliance
Continuous security monitoring, access control management, audit logging, and compliance reporting for GDPR and industry standards.
Integration Maintenance
Keep all system integrations running smoothly. API updates, data pipeline monitoring, and proactive compatibility management.
User Support & Training
Ongoing user support, training for new team members, and adoption programs to maximize AI utilization across your organization.
Scaling & Expansion
Strategic planning and execution for expanding AI to new departments, use cases, and geographies. Grow your AI footprint systematically.
Service Level Tiers
Standard
- Model monitoring
- Quarterly retraining
- Email support
- Monthly reporting
Professional
- Everything in Standard
- Bi-weekly optimization
- Priority support
- Live dashboard access
Enterprise
- Everything in Professional
- Dedicated AI ops team
- 24/7 monitoring
- Custom SLA terms
The Complete AI Journey
AI management is the final stage of our end-to-end AI journey. From Discovery to Strategy, Pilot, Implementation, and ongoing Management—we're your partner at every stage.
Let's discuss your AI journey
Our team will help you prioritize use cases and build a concrete roadmap.
What Our Clients Say
"We decided early on to embrace AI technology and needed a partner who could explore opportunities, propose solutions, lead change management, and build them. With Alice, we got everything in one place and have implemented multiple solutions that increased efficiency so significantly that an entire team could be reallocated."
Andreas Wilhelmsson
CEO & Co-founder
Supernormal Greens / Ljusgårda
"Alice Labs' AI training gave us all a real aha-moment, whether we were completely new to the field or experienced! The training contained a perfect balance between theory and practice. We have definitely become more efficient at work!"
Åsa Nordin
IT Manager
Trollhättan Energi
"The collaboration with Alice Labs has been easy, educational, and incredibly supportive. We engaged them to improve our processes and create more efficiency in the team, and the result truly exceeded expectations. Through their guidance, we've gained better structure, faster workflows, and more time for what actually creates results."
Frida
Partner Manager
Bruce Studios
"Fast, professional, and wonderful people. Find out for yourself <3"
Johannes Hansen
Founder
Johannes Hansen AB
Frequently Asked Questions
Everything you need to know about ongoing AI management and scaling
What is AI management and why is it needed?
AI management is the ongoing operation, optimization, and scaling of AI systems after initial deployment. Without proper management, AI models degrade over time (model drift), integrations break, and ROI erodes. Professional AI management ensures your AI investments continue delivering value—and grow with your business.
What does your AI managed service include?
Our managed service covers model monitoring, performance optimization, retraining schedules, integration maintenance, security updates, user support, and scaling. We provide monthly reports with KPI tracking, proactive issue resolution, and continuous improvement recommendations. Think of it as a dedicated AI operations team without the overhead.
How do you handle model drift and performance degradation?
We implement automated monitoring that tracks model accuracy, latency, and output quality in real-time. When performance drops below thresholds, our team investigates root causes—data distribution changes, edge cases, or system updates—and retrains or adjusts models proactively, before users notice issues.
Can you manage AI systems we didn't build?
Yes. We regularly take over management of AI systems built by other consultancies or in-house teams. We start with a comprehensive audit to understand the architecture, identify vulnerabilities, and establish baselines. From there, we create a management plan tailored to your specific systems.
How is AI management different from traditional IT support?
Traditional IT support is reactive—fix things when they break. AI management is proactive and domain-specific. AI systems require continuous monitoring for model drift, data quality issues, and performance optimization that standard IT teams aren't equipped to handle. Our team combines ML engineering, data science, and operations expertise.
What SLAs do you offer?
We offer tiered SLAs based on your needs: Standard (next-business-day response, monthly reviews), Professional (4-hour response, bi-weekly reviews), and Enterprise (1-hour response, weekly reviews, dedicated team). All tiers include 99.5%+ uptime guarantees for managed systems.
How do you help us scale AI across the organization?
We follow a proven scaling framework: identify high-impact expansion opportunities, adapt existing models for new use cases, ensure infrastructure can handle increased load, train new user groups, and measure ROI at each stage. Most clients expand from 1-2 AI use cases to 10+ within 12 months of managed scaling.
What reporting and visibility do we get?
Monthly management reports include: model performance metrics, usage statistics, cost analysis, incident reports, optimization actions taken, and recommendations for improvement. We also provide a live dashboard for real-time system health monitoring. All reports are designed for both technical and executive audiences.
How much does ongoing AI management cost?
AI management costs typically run 15-25% of the initial implementation investment per year. This includes all monitoring, maintenance, retraining, and optimization. Compared to building an in-house AI operations team (€200K+ annually), managed services deliver significant savings while providing access to a broader range of AI expertise.
Can we gradually bring AI management in-house?
Absolutely. We design our managed services with knowledge transfer in mind. We can train your team progressively, hand over specific responsibilities over time, and transition to an advisory role. Many clients start fully managed, then move to co-managed within 6-12 months as their internal capabilities grow.
Have more questions? Let's talk.
No commitment - just a conversation about what AI can do for your business.
Ready to Scale Your AI Operations?
Schedule a consultation to discuss your AI management needs
Explore more AI services
Combine multiple services for maximum impact – we help you find the right mix