Application lifecycle

Why it matters

Most IT teams spend 70% of their endpoint management effort on software maintenance, discovering what applications exist, packaging them for deployment, managing updates across installed endpoints and handling dependency issues when versions drift. This manual, repetitive work consumes budget that could focus on strategic endpoints and user enablement. Meanwhile, users experience deployment delays, version inconsistencies across devices and application conflicts that require IT escalation. Application updates fall behind security patches, creating vulnerability risk. New applications take weeks to move from procurement to user deployment because each step requires manual coordination.

Automated application lifecycle management inverts this problem. We use Microsoft Configuration Manager (ConfigMgr) and Microsoft Intune to build intelligence into your application ecosystem. Discovery tools surface what applications exist across your endpoint fleet, their versions, licences and dependencies. Automated packaging converts applications into deployment-ready formats that ConfigMgr and Intune can orchestrate. Deployment automation pushes applications to target devices and user groups on your schedule. Continuous monitoring detects version drift, failed installations and dependency issues. Optimisation automation removes unused applications and tunes performance based on actual usage patterns. The result: 70% of that manual effort disappears, applications deploy weeks faster and your fleet runs efficiently.

0

of endpoint management effort typically goes to software maintenance. Application lifecycle automation reclaims that time for strategic work and user enablement.

0

Applications move from procurement to user deployment in days instead of weeks, and updates propagate automatically rather than requiring manual scheduling and testing across each endpoint.

Key features

Intelligent application discovery and inventory

Discovery tools scan your endpoint fleet to identify all installed applications, versions, licence compliance status and dependencies. This inventory becomes your foundation for management, you know exactly what software is deployed, where it’s deployed and which versions are installed. Automated scanning runs continuously, surfacing new applications that have been installed outside standard deployment processes and flagging version drift. Discovery eliminates surprises and creates accountability for software deployment.

Automated packaging and deployment preparation

Once applications are discovered, we convert them into deployment-ready packages that ConfigMgr and Intune understand. Packaging automation extracts installer files, analyses dependencies and creates deployment configurations aligned to your enterprise requirements. This eliminates weeks of manual packaging work and ensures consistency – every instance of an application is packaged identically, reducing troubleshooting complexity.

Orchestrated deployment and update management

Deployment automation deploys applications to target devices and user groups on a schedule you control. Phased rollouts are possible – deploy to pilot users first, monitor for issues, then roll out to broader populations. Updates propagate automatically across your fleet rather than requiring device-by-device manual updates. Administrators define deployment policies rather than executing manual deployment steps.

Continuous monitoring and optimisation

Monitoring systems track application health, detect failed installations, identify unused applications and flag performance anomalies. Optimisation workflows remove unused applications from devices where they’re not needed, reducing overhead and simplifying support. Performance data feeds back into procurement decisions, if a critical application runs inefficiently on specific hardware, that data informs next device refresh cycles.

How it works

Step 1

Discover and inventory your application estate

We deploy discovery tools across your endpoint fleet to create a complete inventory of installed applications, versions, licence compliance and dependencies. The scan identifies applications deployed through standard channels and those installed through side channels. Discovery results create a baseline showing where applications are deployed and what versions are running.

Step 2

Package applications for automated deployment

Applications identified in discovery are analysed for dependencies and converted into deployment-ready packages using ConfigMgr or Intune packaging tools. Packaging automation extracts installers, configures deployment options, embeds any required configurations and validates readiness. Applications are now ready for orchestrated deployment.

Step 3

Design deployment and update policies

We define deployment policies in ConfigMgr and Intune specifying which applications deploy to which users and devices, on what schedule and with what update frequency. Policies can be sophisticated – deploy to specific departments, user groups or device types, with phased rollout to manage risk. Policies are centralised and can be updated without touching individual devices.

Step 4

Execute deployments and monitor adoption

Deployment policies execute automatically, pushing applications to target devices on schedule. Monitoring tracks deployment success, identifies failed installations and alerts administrators to issues requiring investigation. Users experience applications appearing on their devices automatically rather than waiting for IT to manually stage each application.

Step 5

Optimise continuously based on usage and performance

Ongoing monitoring identifies unused applications deployed to devices where they’re not needed, and removes them to reduce overhead. Performance monitoring flags applications that run inefficiently and feeds data into refresh decisions. Updates deploy automatically on a managed schedule, keeping your fleet current without manual per-device coordination.

Partners

Application Lifecycle automation is delivered using Microsoft Configuration Manager and Microsoft Intune, combined with third-party discovery and packaging tools where needed. We configure and operate these platforms on your behalf, integrating with your existing identity provider (Azure AD/Entra ID) and endpoint security infrastructure.

Cisco is a global leader in networking, cybersecurity, enterprise AI platforms and collaboration technologies that securely connect organisations worldwide. SCC holds the highest Cisco accreditations available, including UK Preferred Partner status across Cloud AI, Collaboration, Networking,…

Amazon Web Services provides cloud infrastructure at global scale across compute, storage, databases and specialised services. SCC is an AWS Advanced Partner delivering migrations from on-premises to AWS, managed cloud operations and infrastructure optimisation. We’ve completed 400+ AWS migrations…

Hewlett Packard Enterprise delivers edge-to-cloud solutions spanning enterprise-grade compute, hybrid cloud through GreenLake, AI-ready infrastructure with NVIDIA integration and intelligent networking combining Aruba and Juniper. HPE’s architecture enables organisations to modernise IT…

Ready to automate application management

Application lifecycle automation eliminates weeks of manual packaging and deployment work, accelerates application delivery to users and keeps your software estate optimised. Let’s assess your current application landscape and build an automation strategy.

Speak to a specialist

A person standing in a server room holding and working on a laptop, surrounded by racks of illuminated servers.

FAQs

How do you handle applications with complex dependencies – can automation really handle those?

Complex dependencies are exactly where automation delivers value. Dependency analysis during discovery identifies which applications need to be deployed together or in specific sequences. Packaging automation encodes these dependencies into deployment logic that ConfigMgr and Intune understand. When you deploy an application with dependencies, ConfigMgr and Intune automatically deploy prerequisites in the correct order, eliminating manual coordination and reducing troubleshooting.

What about legacy applications – can we still automate those if they’re not cloud-native?

Yes. Discovery tools find all applications, cloud-native or legacy. Packaging automation works with any installer format (MSI, EXE, cloud-based). Deployment orchestration happens the same way whether you’re deploying modern SaaS applications or decades-old legacy systems. Automation doesn’t care about application age; it cares about bringing consistency and speed to deployment.

How much effort does it take to maintain these automated policies – do you need dedicated staff?

Once policies are designed and validated, they run automatically without daily intervention. Maintenance effort is minimal – you review policies periodically (quarterly or semi-annually) to update application versions, add new applications or adjust deployment targets as organisation changes. ConfigMgr and Intune handle the heavy lifting. You don’t need dedicated staff; most organisations integrate this into their existing endpoint management team.

Can we run discovery and see results before committing to full automation?

Absolutely. We start with a discovery assessment that shows you what applications exist, where they’re deployed and what versions are running. That data alone typically surfaces cost and security insights worth the exercise. From discovery results, we can design automation strategies tailored to your actual application landscape without requiring you to commit to anything until results are clear.