Solution Capability · 6.5
Give users and technical teams a clear route to resolve AI incidents, access issues, failed integrations, content problems, and operational questions.
AI support requests can cross application, model, content, data, access, integration, policy, and user-experience boundaries. Traditional help desks may not know how to classify or resolve them.
AI users and business teams
Application owners
IT service and support teams
AI engineering and platform teams
Risk, security and governance teams
Define support scope, service channels, categories, severity, ownership, escalation, and service expectations.
Create runbooks, knowledge, diagnostics, access paths, and communication templates.
Integrate support with monitoring, incidents, evaluation, releases, and governance.
Resolve issues and identify recurring patterns.
Convert repeated support findings into product and process improvements.
User access and permission issues.
Incorrect or unsupported answers.
Failed tools, workflows or integrations.
Content and knowledge problems.
Performance, availability or cost incidents.
Policy, safety or escalation concerns.
Ticketing and service-management tools, monitoring, and application telemetry.
Copilot Studio, Azure services, OpenAI, Claude, and IGNA.
Microsoft 365, Salesforce, ERP, APIs, data, and knowledge systems.
Security & Governance
Support procedures include controlled access to logs and data, incident privacy, evidence preservation, severity and escalation, change authorization, communication, and human decision ownership.
A readiness workshop is the fastest way to find out if this is the right starting point.
