Managed AI Operations

Keep private AI reliable after go-live

Models, runtimes, drivers, demand, and security requirements keep changing after launch. Izwi monitors and maintains the AI layer, with clear ownership across your team and ours.

Operating principle

You own the environment. Izwi helps operate the AI layer.

What we operate

Keep performance, updates, and incidents under control

Runtime health

Monitor endpoint availability, health checks, errors, queueing, resource pressure, and service dependencies.

Performance and capacity

Track latency, throughput, concurrency, GPU utilization, memory, storage, and demand trends.

Model and runtime lifecycle

Plan approved upgrades, pin versions, test changes, stage rollouts, maintain release notes, and prepare rollback.

Security maintenance

Track relevant runtime, container, dependency, and infrastructure updates within the contracted boundary.

Incident support

Investigate agreed incident classes, coordinate with customer teams, and maintain records and remediation plans.

Optimization and reporting

Review utilization, performance, configuration, capacity, and infrastructure cost, then provide recommendations.

Who owns what

Clear responsibilities from day one

This is a typical division of responsibilities. During onboarding, we adapt it to your architecture, team, and support needs so everyone knows who approves, operates, and responds.

AreaCustomerIzwiShared
Physical or cloud infrastructurePrimaryAdvisoryCapacity planning
Customer network and identityPrimaryIntegration supportChange coordination
Izwi Voice AI RuntimeVisibilityPrimary under contractRelease approval
Private LLM serving stackVisibilityPrimary under contractModel approval
Application code and workflowPrimaryIntegration supportIncident triage
Model and runtime upgradesApprovalPreparation and executionScheduling and testing
Security and compliance decisionPrimaryEvidence and documentationRemediation planning

Ways to work with us

Support aligned to the workload

Choose periodic guidance, active management, or coverage designed around a critical workload. We agree support hours, response targets, maintenance windows, and reporting before service begins.

Advisory Operations

Periodic health reviews, recommendations, and support for planned changes.

Managed Operations

Active monitoring, maintenance, optimization, reporting, and incident support.

Critical Workload Support

Coverage hours, response targets, and escalation paths designed around a business-critical workload.

Make the operating model part of the deployment

Define monitoring, updates, rollback, escalation, and ownership before production traffic arrives.