A naukri.com initiative
Dev
9h
31
Image Credit: Dev
AI-Augmented Change Management: Reinventing ITSM Resilience in 2025
- In 2025, change acceleration challenges traditional ITIL-based governance models, leading to the adoption of AI-Augmented Change Management for resilience.
- Issues with manual risk assessments, CABs, siloed systems, and limited visibility prompt the transition to smarter change approaches.
- AI-Augmented Change Management combines ML, NLP, and GenAI to predict impacts, automate changes, generate communication plans, and learn from past rollouts.
- Key capabilities include predictive risk scoring, automated change categorization, GenAI for artifacts, dependency visualization, and smart approvals.
- Real-world use cases showcase faster seasonal rollouts, smoother healthcare system upgrades, and safe continuous deployments in a SaaS company.
- ServiceNow, integrated with AI capabilities, serves as the foundation for AI-Enabled Change, enabling structured change management and AI-driven impact prediction.
- Business benefits include improved change success rates, reduced time-to-change, stronger governance, boosted operational efficiency, and resilience through intelligence.
- MJB Technologies offers expertise in AI Risk Framework Design, GenAI Integration, CAB Workflow Optimization, CI/CD Pipeline Alignment, and User Training & Governance Coaching.
- AI-Augmented Change Management helps enterprises accelerate innovation while maintaining control, making change a competitive advantage in the digital landscape.
- The article is eligible for web story generation as it provides insights on adopting AI for ITSM resilience and includes real-world use cases and business benefits.
Read Full Article
1 Like
For uninterrupted reading, download the app