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Three principles for how to manage funding for app modernization 

Christin Wiedemann, PhD
Senior Director,
Slalom
Published:
3 minute read

TL;DR

  • Slalom recommends three core principles for treating modernization as an ongoing portfolio management discipline rather than a one-time transformation project.
  • Treat technology like an estate: Continuously assess applications as a portfolio, deciding where to invest, protect, modernize, or retire assets based on value, risk, and cost.
  • Fund outcomes, not promises: Use phase-gated investments with clear decision points, so you can evaluate assumptions and business value before committing to more funding.
  • Govern for business value, not delivery activity: Measure success through outcomes such as cost optimization, resilience, risk reduction, customer impact, engineering capacity, and AI readiness, rather than simply tracking milestones and project completion.

Principles for funding ongoing modernization

Application modernization can lose momentum even after a promising pilot or successful first release. Often, the problem isn’t the technology. It’s that funding, priorities, and business expectations weren’t aligned at the start—or weren’t kept aligned as conditions changed.

Continuous re-alignment matters because modernization isn’t a one-time event, even after you work through bounded phase-gates. Applications continue to age. Business priorities shift. New security vulnerabilities emerge. Platform costs change. AI creates new requirements for data, integration, and infrastructure. And the application that deserves investment today may not be the application that deserves it a year from now.

Technology leaders need a funding and governance model that can make those tradeoffs continuously. These three operating principles can help:

  1. Treat your tech like an estate
  2. Fund outcomes, not ambition or promises
  3. Govern for business value, not delivery velocity

1. Treat your technology like an estate

Mature organizations treat modernization as portfolio management, not a collection of independent projects.

Think about the way you manage a physical or financial estate. You don’t make every investment once and walk away. You continually assess what you own, what it is worth, what it costs to maintain, where risk is accumulating, and where additional investment could create greater value. Where do you buy new, and where do you divest? After all, some assets deserve improvement. Some need protection. Some have outlived their usefulness and should be retired.

Your application estate deserves the same discipline.

This also changes how leaders think about technical debt. Technical debt isn’t an engineering problem where you have to squeeze into whatever budget remains after new development. Legacy infrastructure, unsupported technologies, brittle integrations, and growing maintenance requirements can constrain agility and increase operational risk. In some cases, they can also prevent organizations from taking advantage of newer, real-world capabilities.

Portfolio governance makes those tradeoffs explicit. Funding a new capability may create more immediate value than refactoring an existing application. In another part of the estate, reducing a critical dependency or retiring an expensive system may be the better investment.

It also never goes without saying: You wouldn’t let “just anyone” manage your estate. You also need to work with the right partners who can strategize, deliver, coach, and attune based on your unique needs.


LEADERSHIP TIP

Avoid using app modernization as a training exercise

People love to upskill, explore, and learn. But those are not application modernization goals.

Application modernization is a business transformation with real consequences for security, reliability, compliance, and continuity—and the work should be led accordingly.

Upskilling absolutely belongs in modernization, but as an intentional part of the journey. Teams can:

  • Learn alongside experienced practitioners
  • Build capability through delivery
  • Gradually take greater ownership of modernized systems

Just keep in mind, if you’re hearing buy-in because “this will give the team a place to experiment,” redirect. Application modernization isn’t a creative sandbox: it needs to be focused on delivering measurable business outcomes that make your organization more capable.


2. Fund outcomes, not a vision or promises

Instead of committing to a multi-year transformation upfront, it's better to fund modernization incrementally. A phase-gated funding model creates discipline:

  1. A discovery establishes priorities.
  2. An assessment maps the application landscape, dependencies, risks, modernization options, and business case.
  3. A bounded proof of value can then test important assumptions against real applications and delivery conditions before leaders authorize broader investment.

At each phase gate, executive sponsors can ask a straightforward set of questions:

  • Are we producing the expected business value?
  • Have the assumptions behind the investment held?
  • Has the risk profile changed?
  • Is the organization ready to absorb the next stage?
  • Should we increase investment, maintain it, change direction, or stop?

This makes funding a series of informed decisions rather than one large bet.

The same discipline should apply to technical debt. Treating technical debt as part of portfolio investment planning makes it possible to compare the value of maintaining an existing system, modernizing it, or redirecting that money toward another priority. The result is a healthier portfolio that can improve continuously instead of simply creating another generation of systems that will eventually require a large transformation.


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THE SLALOM APPLICATION MODERNIZATION GUIDE

Legacy isn’t about age.

A 20-year-old system can be strategically valuable, and a two-year-old platform can create debt. Legacy needs to be addressed when it starts to limit your organization's ability to adapt, automate, integrate, secure, or innovate at the speed your business requires.

Get a practical approach to reducing technical debt, strengthening security, and building AI-ready application architectures that scale.


3. Govern for business value, not delivery activity

As some leaders have experienced, a project can hit its milestones and still fail to create enough value to justify continued investment. Conversely, new information may make changing the original plan the best business decision.

That’s why executive governance should focus on measurable outcomes such as:

  • Increasing revenue
  • Cost optimization,
  • Engineering capacity
  • Customer impact
  • Resilience
  • Risk reduction
  • Readiness for priority AI use cases

Delivery and roadmap measures still matter, but they are evidence about program health—not the ultimate definition of success.

Portfolio reviews can use those measures to make active investment decisions:

  • High-performing modernization efforts may warrant additional funding or capacity.
  • An initiative with assumptions that no longer hold may need to be re-scoped.
  • Speed and velocity may not be healthy, so resources may need to shift.

These potential pivots need a forum for discussion, and they require clear decision rights. Delivery teams should be able to make day-to-day decisions within agreed boundaries, while executive governance retains authority over material changes to investment, scope, priorities, and risk.  

Over time, this changes application modernization from a succession of transformation projects into endless peak performance with repeatable enterprise capabilities. 


APPLICATION MODERNIZATION CONSULTING

Slalom’s application modernization services

Slalom helps organizations progress toward Zero Legacy with modernization initiatives focused on measurable business outcomes.

Our customers around the globe are modernizing mainframes, applications, and enterprise data with results that include:

  • 2–4x faster delivery for a U.S. education agency through AI-enabled engineering
  • $100MM projected savings and a 60% reduction in refactoring time for a global technology leader
  • 30% reduction in technical debt and $1.1MM reduction in annual mainframe operating costs for an iconic manufacturer and retailer
  • 66% lower compute costs and 50% faster workflows for a major federal healthcare agency
  • 5–9x engineering velocity increase using AI-accelerated modernization for a leading financial services provider

We partner with Amazon Web Services (AWS), Databricks, Google Cloud, Microsoft, Open AI, Salesforce, Snowflake, and over 700 of the world’s leading technology providers to support modernization across complex enterprise environments.





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