AI Operations-as-a-Service
Novantsys remains responsible for monitoring, maintaining, and improving deployed AI workflows—covering Monitoring, Optimization, Integration Maintenance, Governance, Support, and Monthly Value Reporting.
Novantsys remains responsible for monitoring, maintaining, and improving deployed AI workflows. Deploying AI into production is only the beginning—models drift, token costs fluctuate, upstream ERP/CRM APIs change, and governance policies evolve. With AI Operations-as-a-Service, Novantsys takes end-to-end operational ownership across six managed service layers so your AI workflows remain healthy, cost-optimized, compliant, and continuously delivering measurable business value.
Core Capabilities & Technical Scope
- Monitoring: Workflow health, failures, latency, usage and model performance
- Optimization: Prompt/model/workflow improvements and cost optimization
- Integration Maintenance: APIs, ERP/CRM connections and business-system changes
- Governance: Access, auditability, human approval and usage controls
- Support: Incident response, user support and continuous improvement
- Reporting: Monthly operational and business-value reporting
Client Deliverables
- Live AI Workflow Health, Latency, Failure & Model Performance Telemetry
- Continuous Prompt, Model Routing & Token FinOps Optimization Releases
- Proactive API, ERP/CRM Schema & Business-System Integration Maintenance
- Monthly Executive Operational Health & Business-Value ROI Report
Technologies & Frameworks
24/7 AI Workflow & Model Monitoring • Measurable & Sustainable Cost FinOps • Enterprise Trust & Zero-Drift Governance • Agile Continuous Workflow Enhancement • Change Management & User Adoption Support • Prompt, Model & Token Cost Optimization • ERP / CRM & API Integration Maintenance • RBAC, Auditability & Human-in-the-Loop Controls • SLA-Backed Incident Response & Support • Monthly Business-Value & ROI Reporting • LLM Observability & Drift Detection
Business Impact
Measurable Outcome: Ensures 99.9%+ AI workflow reliability, reduces LLM inference and operational costs by 25–40%, and eliminates internal maintenance burden with predictable monthly SLAs.
Back to AI Solutions | Contact Principal Architects for AI Operations-as-a-Service
