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24×7 AI Operations & Support Desk

Round-the-clock AIOps services that keep your models, LLM applications, and AI agents running in production. Our engineers monitor, fix, and improve your AI systems every hour of every day. You focus on growth while we carry the pager.

24x7 AI operations and support desk.

What Is a 24×7 AI Operations and Support Desk?

A 24×7 AI operations and support desk is a managed AI services model in which a dedicated team and tooling layer monitors, maintains, and fixes AI systems in production around the clock. It combines AIOps practices, MLOps workflows, and traditional IT support into a single point of contact for everything that happens after deployment. The goal is simple: your AI keeps producing accurate, safe, and cost-controlled output without your internal team carrying the pager.

Why Production AI Needs Round-the-Clock Operations

AI systems fail differently from conventional software. A web server either responds or fails, while a model can keep responding as its predictions quietly degrade because live data has drifted from its training data. LLM applications add new failure modes such as hallucinated answers, prompt injection attempts, rate limits from model providers, and sudden token cost spikes.

These problems rarely announce themselves during office hours. Customer-facing AI runs across time zones, batch pipelines often execute overnight, and a third-party model API can degrade on a weekend. Without 24/7 coverage, issues surface only when a customer complains or a monthly report looks wrong, usually the most expensive moment to find them.

Our AIOps Services: What the Desk Covers

Continuous Monitoring and Observability

We instrument your AI stack end to end, from data ingestion and feature pipelines to model endpoints and downstream applications. Our engineers work with tools such as Prometheus, Grafana, OpenTelemetry, and Datadog, or plug into the observability platform you already run. Every system gets dashboards and alert thresholds tuned to its real behavior, so every alert means something.

Model Drift Detection and MLOps Services

Our AI model monitoring and MLOps services track data drift, concept drift, and prediction quality against baselines set during onboarding. When performance drops below threshold, the desk triggers a defined response that runs from investigation and root cause analysis through retraining, validation, and controlled redeployment. Model versions, experiments, and rollbacks are managed through registries such as MLflow so every change stays traceable.

LLM and AI Agent Operations

Generative AI applications need their own operating discipline. We monitor response quality, latency, guardrail violations, retrieval accuracy in RAG pipelines, and token spend per workflow. For AI agents, the desk watches tool call failures, loops, and unexpected actions, and keeps fallback paths ready when a model provider has an outage.

Incident Response and Escalation

Every alert routes through a structured incident process aligned with ITIL 4 practices, with severity levels, response targets defined in your service agreement, and clear ownership at each tier. L1 engineers triage and contain, L2 specialists diagnose model and pipeline faults, and L3 AI engineers handle deep fixes and code changes. You receive incident summaries and post-incident reviews so the same failure does not repeat.

AIOps Platform Integration and Automation

Repetitive operational work should not need a human every time. We set up an AIOps platform layer that correlates alerts, reduces noise, and runs automated runbooks for known issues such as restarting failed jobs, scaling inference capacity, or switching to a backup model. Engineers then spend their time on problems that need judgement.

Security, Compliance, and Governance Support

Production AI carries security and regulatory obligations that do not pause after launch. The desk monitors access, logs model decisions for audit, and supports alignment with frameworks including the NIST AI Risk Management Framework, ISO/IEC 42001, SOC 2, and GDPR where they apply. Governance reporting is delivered on a schedule your compliance team sets.

Why Choose KriraAI

KriraAI builds and deploys production AI for enterprise clients across more than 22 industries, so our support engineers understand the systems they operate from the inside. The same team that knows how to build a RAG pipeline or an agent workflow is the team diagnosing it at 3 a.m. That depth matters when an incident needs a code or model fix rather than a restart.

We also work as an extension of your team. Every alert, decision, and change is logged and visible to you. Engagement terms flex with the number of systems you run.

Keep Your AI Running Around the Clock

Your AI systems should not depend on someone checking dashboards during office hours. Talk to KriraAI about bringing your models, LLM applications, and agents under 24×7 AI operations and support. We will map your current setup and show you what coverage looks like.