Your AI journey doesn't end at deployment. It's just beginning.

AI Managed Services are ongoing support and management arrangements for agreed artificial intelligence systems, agents, workflows and supporting components. They may include technical assistance, governance reviews, configuration maintenance, data-source improvements and operational optimisation.

An implementation project focuses on introducing a particular AI capability. AI Managed Services focus on the ongoing activities required to maintain, support and improve systems after deployment.

An AI Accelerator can help identify potential use cases and build a roadmap. Managed AI services may then be useful for implementing selected projects and supporting their operation over time, depending on the organisation's internal capabilities.

Custom agent requirements can be assessed and scoped, including the business task, technical platform, connected systems, information access and project delivery responsibilities. Availability of specific development services should be agreed before implementation.

Managed Agent Support is an agreed ongoing service for selected AI agents and their dependencies. It can cover technical issue investigation, configuration reviews, authorised changes and operational support within a defined scope.

Potential support for existing agents depends on their platform, documentation, ownership, technical access and maintainability. An initial assessment may be needed before agreeing to take responsibility for an existing solution.

The responsible support team should investigate the issue under the agreed support process, including relevant logs, configuration, dependencies and recent changes. Resolution options depend on the underlying cause and the components covered by the agreement.

Not automatically. Support hours, monitoring arrangements, response targets and escalation procedures depend on the specific service agreement. Continuous platform activity does not necessarily mean continuous human support.

Intelligent Data Development involves preparing, organising and improving the data and knowledge sources used by AI systems. It may include data quality assessments, document preparation, integration planning and information access reviews.

Many Microsoft-based AI solutions depend on Microsoft 365, Copilot Studio, SharePoint, Microsoft Entra ID or Power Automate. The management options available depend on the selected products, permissions, licensing and agreed technical scope.

Yes. Depending on the platform, changes may include improving instructions, updating knowledge sources, adjusting workflows, refining access permissions or addressing issues identified through user feedback and testing.

Protection requires appropriate identity controls, information access permissions, platform configuration, privacy measures, data handling policies and governance processes. The specific safeguards depend on the solution and the sensitivity of the information involved.

An agreed managed service can support relevant governance and security activities, such as access reviews, documentation and operational controls. However, it does not by itself establish regulatory compliance or certification.

Not necessarily. Managed AI services can supplement internal IT, development and security teams by providing agreed technical support or specialist assistance with AI operations.

Yes. A single, well-defined agent or workflow may be an appropriate starting point. The organisation can evaluate its operation, employee adoption and practical value before considering additional use cases.

Pricing depends on the number and complexity of supported AI systems, connected services, licensing, service hours, monitoring needs, support responsibilities and change requirements. Contact IRON IT Group to discuss a suitable scope and quotation.