自己学習型・インテント駆動型自動化によるネットワーク運用の再構築
現代のネットワークには、スピードと規模だけでは不十分です。インテリジェンス、俊敏性、自律性が求められます。HCLTechの自律型ネットワークソリューションは、通信事業者がリアクティブで手動管理の環境から、動的なAIベースの自己修復型ネットワークへ移行できるよう支援します。インテント駆動型オーケストレーション、クローズドループ自動化、リアルタイムのクロスドメインインテリジェンスを基盤とする当社のソリューションは、TM Forumの自動化成熟度モデルに準拠しています。
ゼロタッチ運用と予測インテリジェンスをネットワークのあらゆるレイヤーに導入します。Agentic AIは、リアルタイム検知、根本原因分析、プロアクティブな最適化を実現し、チームがビジネス成果に注力できるようにします。オープンAPI/プラットフォーム、深いドメイン専門知識、強固なパートナーエコシステムを活用し、エンドツーエンドのネットワーク保証と最適化を提供します。これにより、継続的に学習、適応し、変化する状況にリアルタイムで対応する自己組織化ネットワークを実現します。
主なケイパビリティ:
- 自己学習型インテリジェンス
- AIベースのネットワークフレームワーク
- AI/MLベースのオーケストレーション・インテント生成
- Agentic AI「ネットワークアシスタント」
- クローズドループ保証
- クロスドメインのインサイト相関分析
HCLTech 自律型ネットワークポートフォリオ

HCLTech自律型ネットワークに関するよくあるご質問
Our Assess, Implement, Manage (AIM) framework is a dedicated, AI-driven approach that guides telecom operators through their entire autonomous network journey. We start by evaluating your current state using purpose-built tools, engineer targeted OSS and AI enhancements, then deliver SLA-driven managed operations that continuously improve and sustain your automation capabilities over time.
Closed-loop automation eliminates the reactive, manual cycles that slow traditional network operations. Our platform continuously monitors, detects anomalies, performs root-cause analysis and executes corrective actions—all in real time without human intervention. The result is proactive AI network optimization that reduces incidents, accelerates resolution and keeps the quality of experience consistently high across all domains.
Clients can achieve up to 30% faster mean time to repair through our platform's comprehensive cross-domain visibility, AI-driven root-cause analysis and closed-loop assurance capabilities. By automatically detecting, diagnosing and resolving issues before they escalate, we dramatically compress the time between fault detection and full service restoration across complex multi-domain environments.
Absolutely. We deliver deep cross-domain expertise spanning RAN, core, transport and cloud—unifying operations through a single intelligent automation layer. Our 3GPP-compliant NWDAF and MDAF capabilities provide insights into network performance, while our SMO specifically supports RAN automation, ensuring end-to-end zero-touch network automation without domain silos limiting your operational efficiency.
We offer a proven portfolio of platforms and accelerators—including ILC, NDTP, NWDAF, eIUM, NAP and NetSight—purpose-built to compress deployment timelines across 5G solutions and telecom services. Combined with our AIM framework and deep domain expertise, these accelerators help clients move from assessment to measurable autonomous network outcomes significantly faster than building from scratch.
We align with the TM Forum automation maturity model, which provides a structured, industry-recognized framework for progressing from manual, reactive operations toward fully autonomous networks. This alignment ensures our clients follow a proven, standards-based path—with clear milestones, measurable outcomes and confidence at every stage of their autonomous network journey.
Our autonomous telecom network solutions deliver 10%–15% OPEX/CAPEX savings through optimized configuration, predictive capacity management and sustainable operations. By replacing manual processes with intelligent automation and self-healing capabilities, we help clients significantly reduce operational overhead—freeing resources to focus on innovation and business growth rather than routine network maintenance.
Our autonomous network platform is standards-aligned by design—built to comply with 3GPP, TM Forum, CAMARA and GSMA Open Gateway standards and frameworks. This commitment ensures interoperability, reduces integration risk and gives our clients confidence that their investments are grounded in globally recognized, future-proof industry specifications rather than proprietary approaches.
Agentic AI is central to our reimagining of network management. Our Agentic AI telecom capabilities power autonomous decision-making, real-time anomaly detection, root-cause analysis and proactive optimization—without waiting for human instruction. Domain-specific AI agents continuously learn from network behavior, enabling self-organizing networks that adapt dynamically to changing conditions and business intent.
Our platform delivers approximately 35% improvement in quality of experience through proactive, predictive actions that address issues before clients ever notice them. By combining real-time observability, AI-driven service-level models and closed-loop assurance, we shift network operations from reactive firefighting to intelligent anticipation—keeping end-user experiences consistently strong across every network domain.
