AI Observability & Monitoring Services.

AI Observability & Monitoring Services include AI observability, ML observability, LLM monitoring, drift detection, cost tracking, quality evaluation, performance dashboards, governance reporting, alerting and managed operations.

AI observability is the practice of monitoring how artificial intelligence systems behave in production, including output quality, latency, cost, errors, data drift, model performance, user feedback and business impact.

ML observability focuses on machine learning model behaviour, including drift, features, predictions and model degradation. AI observability is broader and can include LLMs, agents, RAG systems, prompts, retrieval quality and workflow performance.

Enterprises need AI monitoring services because AI systems can change over time as data, models, prompts, users and business workflows evolve. Monitoring helps detect issues before they affect users or decisions.

Yes. Logiciel can assess and monitor existing AI systems, including ML models, LLM applications, RAG pipelines, copilots, agents, AI product features and enterprise workflow automations.

Yes. We offer milestone-based pricing once scope, AI systems, KPIs, monitoring needs, governance requirements and delivery milestones are agreed.

You retain ownership of all dashboards, monitoring rules, alerts, evaluation assets, governance workflows, documentation, runbooks, integrations and implementation materials.

Yes. We run managed operations with observability, incident response, alert tuning, model performance reviews, cost tracking, reliability support and continuous improvement.