Managed AI services
Keep AI useful, secure and aligned after launch.
Managed services cover the operating lifecycle of AI agents, knowledge, integrations, controls and platforms.
Service management
Availability, incidents, requests, changes and dependency coordination.
Quality management
Evaluation, user feedback, policy adherence and improvement actions.
Knowledge operations
Source updates, indexing, access, freshness and content quality.
Model and configuration lifecycle
Controlled review, testing and release of changes.
Cost optimisation
Usage, model consumption, infrastructure and efficiency reporting.
Governance reporting
Risk events, approvals, evidence and lifecycle status.
Support that continues after launch
Managed services connect service support, AI quality, knowledge operations and controlled change throughout the operating lifecycle.