Discover how forward-thinking IT leaders are using AI and automation to drive autonomous application operations.
Delivering hybrid cloud operations with autonomous AI
IBM Consulting delivers autonomous agentic cloud-operations that combine deep cloud engineering expertise with AI-powered technologies including Instana, Turbonomic, Concert and watsonx to create a unified operating model for managing applications, platforms and data across hybrid environments.
Our unified hybrid-cloud control approach brings application operations and cloud platform management together into a single operational framework, providing end-to-end visibility across the entire technology stack. By correlating application performance, platform health, cloud resource utilization, security events and operational dependencies in real time, organizations can detect issues faster, understand business impact, automate cross-domain responses and optimize performance, availability and costs from one intelligent control plane.
AI-enabled services to help you manage all types of clouds – private, public and hybrid. With integrated FinOps to optimize your cloud resources and cloud security.
Achieve desired levels of performance and uptime, control application sprawl and deliver transformational experiences to apps and users, on-premises or in public cloud.
Leverage genAI and ML to run IT value-streams tightly tied to business outcomes. Manage IT autonomously with prescriptive solutions that allow personnel to focus on delivering higher value in real time.
Use cases
- Autonomous Hybrid Cloud Operations
- Operational intelligence
- Unified hybrid operations
- Data management
- Optimization and cost reduction
- Vendor consolidation
IBM moves beyond traditional cloud management by orchestrating AI agents, automation, observability, and cloud engineering into an autonomous operating model. Intelligent agents continuously monitor, optimize, and remediate hybrid cloud environments while IBM experts provide strategic oversight, enabling resilient operations, higher productivity, and continuous optimization at enterprise scale.
IBM replaces reactive monitoring with intelligent operations that continuously predict, prioritize and prevent issues across hybrid cloud environments. By combining observability, AI-powered analytics and automation, IBM helps organizations resolve potential disruptions before they become business-impacting incidents, improving resilience and service continuity.
IBM unifies the management of applications, platforms and infrastructure across public clouds, private clouds and on-premises environments through a single intelligent operating model. By combining observability, AI-driven insights and resource optimization, IBM enables operations teams to make faster decisions, simplify hybrid cloud management and consistently deliver resilient services across complex enterprise environments.
Build a trusted data foundation by ensuring the accuracy, availability, lineage and governance of enterprise data across complex, distributed environments. By continuously monitoring data quality, managing pipelines and enforcing consistent data policies, IBM helps clients improve confidence in business decisions, strengthen AI and analytics outcomes, and enable reliable, trusted data to power mission-critical operations and digital transformation.
IBM helps organizations continuously reduce run costs and improve operational productivity through an integrated approach that combines FinOps, intelligent automation, shared services delivery and Agentic AI. By embedding continuous optimization into day-to-day cloud operations, IBM helps clients identify cost-saving opportunities, automate repetitive operational tasks, optimize resource utilization and streamline service delivery. The result is a more efficient, intelligent cloud operating model that delivers sustained cost savings and productivity improvements over time.
IBM simplifies complex technology ecosystems through strategic application and infrastructure rationalization, combined with delivery model and vendor consolidation. By reducing redundant platforms, streamlining service providers and standardizing operating models, IBM helps clients improve governance, lower operational risk and increase transparency across their IT landscape. The result is a more cohesive, scalable operating environment that unlocks economies of scale, simplifies management and creates a stronger foundation for innovation and future transformation.
Case studies
IBM delivers resilient cloud and application management for the Masters' mission-critical digital platform at scale.
Simplification of cloud and application operations with resilient platforms, automated management and enterprise-scale operational excellence.
Seamless management of hybrid cloud and enterprise applications, delivering resilient operations, automation and continuous optimization at scale.
Social Security Scotland partners with IBM and Nordcloud to lead the way for optimizing cloud costs.
IBM helped simplify hybrid cloud operations with intelligent automation, FinOps, platform engineering and resilient application management at scale.
IBM helps the USTA digital team deploy automation that increases resiliency and reduce operations costs.
Insights
AMS is evolving from a “keep the lights on” function to a strategic driver of business agility, modernization and resilience, aligned with growth objectives.
For moving beyond AI pilots, organizations need a management framework to operate, observe, secure, optimize and continuously improve AI-infused applications at scale.
Ticket queues, SLA metrics and reactive monitoring have long defined how organizations keep their Microsoft applications running, but Agentic AI is redefining and elevating AMS.
For CIOs, the question is no longer whether to embrace multi-agent AI workflows; it’s how to govern and control them safely and at scale.
Meet our experts
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