Service management foundation
MCdesk brings incident, problem and change management together with configuration data / CMDB, self-service, service levels and reporting.
ソリューション
MCdesk・AI 運用
構想段階の連携では、インシデント、問題、変更、CMDB、ナレッジ、サービスレベル、レポートを AI 支援につなぎます。
構想段階の連携では、インシデント、問題、変更、CMDB、ナレッジ、サービスレベル、レポートを AI 支援につなぎます。
依頼情報の補完、知識検索、診断・連絡文の下書きを支援し、操作は承認された手順に従います。アクセス範囲、検証基準、復旧手順を顧客別に定義します。
技術資料・公開情報の原文（英語）
AI & operations
What the solution includes.
Request enrichment
The proposed AI integration identifies intent and urgency, and brings together user, asset, topology, incident history and approved knowledge context.
Engineer assistance
Support diagnostics, recommended fixes, runbooks and customer communications. Engineers review recommendations and remain responsible for the work.
Controlled orchestration
Prepare workflow tasks, approvals and changes within agreed permissions. Evaluate quality, repeat incidents and engineering effort as the service learns.
The service management foundation
Operational context.
In one workspace.
The MCdesk interface brings service records and reporting together. The proposed AI layer connects that context to request enrichment, engineer assistance and controlled workflows.
How it comes together
From requirements to delivery.
- 01
Intake
Receive and classify the request.
- 02
Enrich
Connect asset, user and service context.
- 03
Assist
Retrieve knowledge and prepare diagnostics.
- 04
Orchestrate
Route tasks and approval steps.
- 05
Copilot
Support the engineer’s next action.
- 06
Learn
Review quality, outcomes and recurring issues.
MTS experience & delivery context
The AI integration is a proposed development direction. It builds on the MTS L0–L3 service model and customer-specific 24×7×365 operating arrangements; it is not presented as an already autonomous service.
Connected capabilities
Explore the wider solution.
Let’s shape the right solution.
Discuss your environment, locations, requirements and operating model with MTS.