KMS Legacy App Management brings dedicated ownership to your daily application operations and improves performance while preparing your systems for future modernization.
Legacy applications rarely fail all at once. The pressure builds gradually, through stretched teams, recurring issues and decisions that keep getting postponed.
Our most experienced engineers spend most of their week keeping existing systems running. The new capabilities our business needs keep getting pushed back.
A handful of people know how our systems really work. As the technology ages, finding engineers with the expertise to maintain it keeps getting harder.
Our team resolves the same issues every month. We need better diagnostics and fixes that address the underlying causes, so these problems stop taking up our time.
Even minor fixes can disrupt workflows elsewhere in the business. Limited regression test coverage makes it hard to verify that a change works without breaking something else.
Internal teams and vendors share day-to-day operations, but no one takes overall responsibility for service levels. We cannot see where support effort goes or which improvements should come first.
Our applications cost more to run each year without delivering more value. We cannot replace everything at once, so we need to decide what to maintain, upgrade, consolidate or retire.
We partner with ambitious organizations to solve complex problems, craft meaningful experiences, and deliver measurable results.
Brightree modernized its legacy platform with KMS, boosting scalability and enabling an $800M acquisition.
KMS Technology helped Ping Identity, a leading identity management provider, drive substantial growth in Ping Identity’s product suite.
Proem’s shift to microservices with KMS unlocked faster releases, better performance, and room to scale.
KMS Technology helped EditShare, a leader in media asset management, cost-effectively scale its development capacity.
The process connects transition, ongoing support, and continuous improvement under clear ownership, so your legacy applications stay reliable and become easier to maintain over time.
Application and dependency map
Knowledge base and runbooks
Scope, SLAs, and operational baseline
Prioritized risk register
Root-cause remediation plan
Monitoring and recovery procedures
Support and maintenance backlog
Service management records
Performance reports and reviews
Automation and improvement backlog
Performance and reliability improvements
Updated runbooks and regression checks
Application lifecycle recommendations
Modernization readiness assessment
Prioritized investment roadmap
Legacy support requires more than responding to tickets. KMS combines application engineering, data expertise, quality engineering, and AI-enabled execution across the full support lifecycle, from knowledge transfer through modernization readiness.
Select your industry to explore tailored Legacy App Management.
Financial services firms depend on applications that process transactions and produce reports on strict schedules, where a failed job or broken interface quickly reaches customers and reporting deadlines.
Maintain payment and financial processing workflows through structured incident resolution and preventive maintenance.
Address failures across interfaces connecting transaction systems, accounting platforms, and reporting applications.
Validate fixes and enhancements against critical transaction paths before release.
Improve the dependability of scheduled processing and reporting jobs that support financial operations.
Healthcare software teams need clinical and administrative applications that stay dependable, and the system knowledge to change them safely under regulatory requirements.
Support applications used in patient management, clinical research, and healthcare administration.
Maintain interfaces between clinical applications and connected systems to reduce workflow interruptions.
Strengthen regression checks and change records around critical healthcare workflows.
Capture application behavior and business rules that support future upgrades or migration planning.
Software companies need mature products to stay stable for existing customers, while engineering leaders put more of their capacity into the product roadmap.
Address defects and maintenance needs across mature SaaS products and application components.
Prioritize code improvements that reduce recurring support effort and make future changes easier.
Improve regression coverage and deployment procedures as supported products evolve.
Resolve bottlenecks that affect responsiveness and the experience of existing customers.
Insurers need policy, underwriting and claims applications to stay dependable as products, business rules and integration requirements change.
Maintain quoting, issuance, renewal, and policy servicing workflows through ongoing maintenance and issue resolution.
Support applications that manage submissions, underwriting rules, and decision workflows.
Address interface failures between claims platforms, document systems, and connected services.
Validate rating calculations, policy changes, and claims workflows before fixes or enhancements reach production.
Production, inventory and quality decisions run on custom applications and their links to MES and ERP systems. Reliable applications reduce the risk of interrupting production.
Maintain custom applications supporting production scheduling, inventory, and quality management.
Address interface failures that interrupt information exchange between operational systems.
Improve the dependability of jobs supporting production reporting and material planning.
Validate application updates against operational dependencies and agreed maintenance schedules.
Airport, ground handling and baggage operations depend on applications and interfaces that exchange changing information around the clock.
Maintain applications supporting airport, ground handling, and related operational workflows.
Address failures in interfaces that exchange baggage events and status information.
Improve the reliability of scheduled jobs and application interfaces used to share changing operational information.
Validate fixes against connected workflows and coordinate releases around operational requirements.
Preventive maintenance and root-cause fixes reduce the recurring disruptions in the applications your business still depends on.
Your engineers spend less time investigating legacy issues, so product development and modernization get a more dependable share of their week.
Faster, more reliable applications give the customers and employees who depend on them a smoother experience, with fewer interruptions.
Known dependencies and a prioritized backlog let your team schedule updates around business needs instead of reacting to last-minute issues.
Targeted improvements keep useful applications productive while your organization decides when larger modernization investments make business sense.
A clear view of application health and support demand shows where continued maintenance makes sense and where deeper change is justified.
AI is applied where it shortens routine work: tracing how an issue moves through the application, spotting recurring failures, and keeping documentation and regression tests current as changes are made. Every AI-assisted output is reviewed by an engineer before it reaches your environment, and the tools and data involved are agreed with your team at the start of the engagement.
Support becomes more repeatable when application behavior is understood and documented. Business rules, dependencies, and troubleshooting steps become maintained resources your organization can use.
Existing documentation and subject-matter expertise are combined with code analysis to reconstruct missing context. Findings are validated so future support and change decisions rest on reliable system knowledge.
Clear responsibility gives your stakeholders a dependable route from issue reporting to resolution. Agreed service levels and escalation procedures make expectations visible across KMS, your internal teams, and relevant third parties.
Regular reviews connect service performance with business priorities. Your team can see where support demand is growing and which improvements require a decision.
Every repeated investigation consumes capacity that could improve the application. Root-cause analysis turns recurring incidents into candidates for permanent fixes, better diagnostics, or automation.
A prioritized engineering backlog targets the problems creating the greatest operational burden. Performance tuning and focused refactoring help supported applications become easier to run and change over time.
Ongoing maintenance reveals which applications create disproportionate effort and where technical constraints are becoming harder to manage. Those findings help your team assess the case for continued support, targeted upgrades, or a broader transition.
Larger architectural changes and migrations can then move into a separately defined initiative, informed by the system knowledge developed during support.
Legacy application management is the ongoing operation, maintenance, and improvement of existing applications that remain important to the business. A managed service establishes responsibility for defined support activities while maintaining the knowledge and engineering practices needed to keep those applications dependable.
Legacy application management focuses on supporting and improving applications in their current environment. Targeted enhancements and upgrades can be included within the agreed scope. Modernization introduces deeper changes to architecture, technology, or deployment and typically requires a separate delivery plan.
Scope is determined through an assessment of your application portfolio and support requirements. Potential candidates include custom business applications, mature software products, internal workflow systems, and integrations that support essential operations. Technical fit and required expertise are established during assessment.
Staff augmentation adds people to a team you continue to manage. Legacy App Management assigns KMS responsibility for delivering an agreed application service, including defined workflows, service reporting, and performance management. Your organization retains control of business priorities and investment decisions.
Measures are agreed against the needs of the supported applications. They can include response and resolution performance, recurring incident trends, backlog age, and application reliability. Reviews also track whether engineering improvements are reducing repeat work and dependence on specialist escalation.
Most engagements are structured to deliver initial results within four to six weeks. Timing depends on scope, system complexity, access to environments, and validation requirements, and the engagement begins with knowledge transfer and service baselining.
Your team keeps control of priorities and decisions. Their capacity moves toward modernization, product, and new capabilities, and the knowledge captured during the engagement stays documented within your organization.
Legacy support includes continuous improvement and can cover targeted enhancements, platform upgrades, and modernization readiness assessments. Major migrations and large transformation programs are scoped separately, so ongoing operations stay stable.
“EditShare chose KMS because our engineering team didn’t have too many spare cycles to educate newcomers on our complicated product. We needed a development partner that “dug deep” and learned quickly. We prepared a backlog of training bugs, provided a two day KT session, and set KMS loose. They worked on the bugs, asked well thought out questions indicative of time spent with the code base, and provided frequent status on progress. In 4, 2 week sprints, KMS moved from bugs to working on a major feature for our marque customer. They delivered that feature, to the delight of our customer, and are asking for more challenging work. We were so impressed with efficiency of the process that we doubled the team size. The Engineering dev team found it easier to onboard a second group of KMS’s engineers than to recruit and
train new hires.”
“Thank you for all the KMS team has done, and more importantly the partnership over the past 2+ years. KMS was at times more committed to our success than our internal teams, and we would not have come close to accomplishing what we did without the partnership”.
Brightree modernized its legacy platform with KMS, boosting scalability and enabling an $800M acquisition.
Proem’s shift to microservices with KMS unlocked faster releases, better performance, and room to scale.
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