Transform enterprise applications with AI-powered AMS that drives continuous business value
AI-powered operations for enterprise applications
Enterprise application managed services provide end-to-end management, optimization and continuous improvement for business-critical application platforms such as SAP, Oracle, Salesforce, Microsoft, ServiceNow, Adobe, Workday and Maximo. These services help enterprises improve application reliability, manage changes and releases, resolve issues faster, and continuously enhance business processes and user experiences.
Agentic AI makes application management more proactive and intelligent. AI agents monitor application health, identify emerging issues and risks, support automated remediation, accelerate testing and assist teams with continuous enhancements. Platform expertise, DevSecOps, quality engineering and integration management extend these capabilities across complex application ecosystems, helping enterprises improve resilience, productivity and the value of their application investments.
Capabilities
Make SAP operations smarter with agentic AI that continuously monitors, analyzes and optimizes critical business processes. From S/4HANA and SAP Business Suite to SAP cloud applications, IBM helps enterprises improve application resilience, simplify operations and continuously align SAP performance with evolving business priorities.
Keep Oracle applications optimized, modern and ready for what’s next. From E-Business Suite, PeopleSoft, Siebel and JD Edwards to Oracle Cloud ERP and SaaS, continuously improve application performance through AI-powered operations, automation, analytics and modernization. Proactively manage changes, accelerate cloud adoption and extend the value of Oracle investments while reducing operational complexity and risk.
Adaptive Salesforce operations delivered across Sales Cloud, Service Cloud, Marketing Cloud and Commerce Cloud. Combining deep Salesforce expertise with AI-powered automation, DevSecOps and reusable accelerators, IBM proactively manages and enhances Salesforce environments to improve resilience, productivity, cost efficiency and business agility.
IBM Consulting® combines deep Microsoft expertise with Azure AI, Copilot, automation and DevSecOps to transform Microsoft application operations. AI-powered monitoring and proactive remediation help prevent issues before they disrupt the business, while continuous optimization improves application performance, operational efficiency and productivity across the enterprise.
Turn ServiceNow into an intelligent engine for enterprise workflows. Continuously optimize ServiceNow across IT, employee and customer experiences with AI-powered automation and proactive operations that identify issues, streamline workflows and accelerate resolution. Improve service performance, simplify operations and unlock greater value from your ServiceNow investment.
Keep Adobe Experience Cloud running at its best with adaptive operations, continuous enhancements and AI-powered automation across AEM, AEP, Campaign, Marketo, Commerce and Workfront. Intelligent monitoring and DevSecOps help anticipate issues, streamline releases and continuously optimize digital experiences that keep your customer’s engaged.
Keep Workday environments aligned with evolving HR and financial needs through adaptive operations, continuous optimization and tailored support. IBM’s flexible AMS model scales from essential maintenance to customized services that help organizations improve Workday performance and maximize business value.
Turn asset data into action with smarter Maximo operations. IBM helps organizations use AI and predictive insights to anticipate maintenance needs, prevent asset failures and optimize performance across the asset lifecycle. Embedded security protects connected operations across IT, OT and edge environments, helping improve uptime, reduce risk and maximize asset value.
Use cases
- Operations and continuous improvement
- Release, upgrade and change management
- Custom application development
- Integration and ecosystem management
- Quality engineering
- Resiliency and security
Keep applications running reliably while reducing the effort required to manage them. AI-powered operations continuously monitor application health, identify emerging issues, automate routine support activities and accelerate incident resolution.
Combined with proactive problem management and continuous improvement, this approach helps enterprises improve service reliability, reduce operational effort and ensure that business-critical applications remain aligned with changing business needs.
Manage the constant flow of vendor releases, upgrades, patches and business-driven changes without disrupting critical operations. AI assesses change impact, identifies dependencies, prioritizes risks and automates testing and deployment workflows.
This approach enables enterprises to adopt new platform capabilities faster while reducing release-related incidents, improving change success rates and giving business teams greater confidence in continuous platform evolution.
Extend enterprise application platforms with custom applications, workflows, configurations and user experiences without compromising the underlying platform. AI-powered development accelerates requirements analysis, coding, testing and documentation while reusable assets and platform-native development practices improve consistency.
This approach enables enterprises to address unique business requirements faster while preserving upgradeability and maximizing the value of investments.
Connect enterprise applications with broader ecosystems that enable seamless business processes and trusted flows of information. AI-powered monitoring identifies integration failures, performance issues and data inconsistencies before they disrupt operations.
Automated remediation and intelligent workflow orchestration help manage complex interfaces at scale, improving process continuity while reducing the effort and risk associated with maintaining enterprise integrations.
Continuously validate your application environment when vendors introduce new releases and enterprises change configurations, extensions and integrations. AI accelerates test design, test execution, defect analysis and regression testing across complex application landscapes.
Automated quality engineering reduces manual testing effort, increases test coverage and helps organizations adopt platform changes faster while protecting critical business processes and user experiences.
Move beyond reactive support by continuously assessing application performance, resilience and security posture. AI analyzes operational signals and application dependencies to identify emerging risks and prioritize corrective actions before they affect business services.
Proactive optimization and automated remediation help reduce downtime, strengthen resilience, address security risks and maintain reliable operations across complex application environments.
IBM helps Evident transform their Salesforce operations through modernization, automation and intelligent AMS.
Transformation of vaccination platform with rapid application delivery and integration.
Social Security Scotland collaborates with IBM and Nordcloud to lead the way in reimagining cloud costs at government level.
Insights
As AI moves into production, organizations need capabilities to govern, secure, observe and optimize AI-powered applications and agents at enterprise scale.
Application management is evolving beyond operational support. Explore the trends transforming application operations through AI, automation, modernization and outcome-driven delivery.
Learn how technology leaders can govern multi-agent AI systems, establish operational controls and scale autonomous AI across the enterprise.
Discover how agentic AI is transforming Microsoft application management through intelligent automation, proactive operations and continuous optimization.
Meet our experts
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