AI-Native Operations for Business-Critical Systems
Managed AI Services (MAIS) is an AI-native operating model for companies that already rely on AI in production and need it to scale reliably, safely, and predictably.
What is Managed AI Services?
Managed AI Services is an end-to-end AI operations model that optimizes business operations and workflows. This mode covers the full lifecycle of AI systems in production without adding additional AI tools.
Managed AI Services includes:
AI governance and control
Deployment and operation of agentic systems
Continuous ModelOps and optimization
Cost, quality, and performance monitoring
What do you actually get with Managed AI Services?
With Managed AI Services, you buy AI-native business outcomes:
Stable AI systems running continuously in production
Controlled AI behavior, cost, and quality
Measurable, KPI-driven business impact
Managed AI Services shifts responsibility from “building AI” to owning AI in production.
Discuss your AI production goalsHow does Managed AI Services work?
Managed AI Services follows a structured AI operations journey:
Business & Data Audit
Managed AI Services starts with auditing:
- Current business processes and decision points
- Data quality, flow, and ownership
- Existing AI usage and operational risk exposure
AI-Native Operating Roadmap
Managed AI Services defines:
- Where AI should assist or take control
- Which KPIs AI systems are accountable for
- Governance, escalation, and human-in-the-loop controls
Deployment of Agentic Systems
Managed AI Services deploys:
- Autonomous agents running in production
- Guardrails for safety, cost, and compliance
- Controlled handoffs between humans and AI
Continuous ModelOps & Optimization
Managed AI Services operates and improves AI systems through:
- Performance and quality monitoring
- Cost and inference optimization
- Model tuning, upgrades, and incident prevention
What business value does Managed AI Services deliver?
Managed AI Services is designed for operational impact. Companies using Managed AI Services achieve:
Reduced operational cost and manual effort
Increase of revenue, margin, and ROI
Predictable, KPI-driven outcomes
Lower operational, security, and regulatory risk
Managed AI Services turns AI into something the business can trust and rely on.
Discuss KPI-driven outcomesWho delivers Managed AI Services?
AI-Native Operations Team
Managed AI Services is delivered by a dedicated team responsible for AI systems in production:
AI architects — system design, safety, scalability
Data, process & subject matter experts — alignment with real business workflows
Autonomous agents — operating continuously in production
This team treats AI as a living operational system, not a one-time deployment.
Meet the Managed AI Services teamWhat is the engagement model for Managed AI Services?
Managed AI Services is a strategic, outcome-driven partnership, not a time-boxed project.
The engagement model includes:
Long-term responsibility for AI in production
Clear KPIs and ownership
Continuous evolution as business needs change
When do companies need Managed AI Services?
Managed AI Services becomes relevant when:
Manual oversight becomes a bottleneck
Reliability, cost control, and governance matter more than speed
Some companies arrive here after using our other delivery modes: RACE and AI Accelerated Engineering. Others start directly with Managed AI Services. Managed AI Services is where AI becomes part of how the business operates.
Assess Your Fit for Managed AI ServicesTime to value
Ongoing, impact-driven. With Managed AI Services, value compounds over time as AI systems mature, adapt, and take on more operational responsibility.
FAQ
What is Managed AI Services (MAIS) in simple terms?
Managed AI Services is an end-to-end operations model for AI systems in production: governance, monitoring, optimization, and ongoing ownership of AI system behavior.
When should we consider Managed AI Services?
When AI is business-critical, already in production, and you need reliability, cost control, and governance at scale.
What does “AI-Native Operations” mean here?
It means AI is treated as a core operating capability: deployed with guardrails, monitored continuously, and improved through ModelOps and optimization.
Does Managed AI Services include agentic systems?
Yes. Managed AI Services can include agentic systems running in production, with governance and controls defined in the operating model.
How is quality and safety maintained over time?
Managed AI Services applies continuous monitoring and optimization, including performance checks, cost controls, and governance processes aligned to production requirements.
What outcomes can we expect from Managed AI Services?
Reduced manual effort and operational cost, AI embedded into workflows, and measurable, KPI-driven impact.
