AI deployments don't manage themselves. Models drift. Workflows break. Knowledge bases go stale. Our Managed AIOps service keeps every AI agent in your production environment running at peak performance — with 24×7 monitoring, proactive retraining, and SLA-backed support.
All tiers include SLA-backed support, monthly ROI reporting, and a dedicated Customer Success Manager.
Every AI agent in your production environment is monitored around the clock — response latency, error rates, confidence score drift, and throughput — with automated alerts before issues impact users.
AI models degrade over time as language, products, and processes evolve. Our team proactively identifies when a model needs retraining and executes the update — before performance drops.
As your business evolves, your AI agents need to evolve too. New products, new policies, new workflows — our team handles all configuration updates, knowledge base refreshes, and workflow changes.
Every month, you receive a detailed ROI report showing ticket deflection rates, cost savings, agent performance, and business impact — in terms your CFO and board can act on.
We manage the entire AI infrastructure stack — N8N workflows, Supabase databases, vector stores, LLM inference servers, and monitoring tools — so your IT team doesn't have to.
Every Managed AIOps client gets a dedicated Customer Success Manager who understands your business, tracks your AI roadmap, and ensures you're extracting maximum value from every deployment.