Scoring SAP technical debt so a board can act on it

Technical debt only becomes a decision once someone puts a number and a consequence next to it. Most SAP environments carry years of accumulated custom code, workarounds, and deferred upgrades. However, without a scoring model that translates that complexity into business risk, boards keep deferring action. The goal of this post is to give IT leaders a practical framework for quantifying SAP technical debt. Executives can actually use this framework to make decisions. This makes SAP Software Solutions essential for modern businesses. 

At 2iSolutions, we see this challenge repeatedly across industries. Organizations running SAP Software Solutions often know their systems are overdue for remediation. However, they struggle to make the case internally because the conversation stays technical. Notably, the moment you attach a score, a blast radius, and a remediation cost to each debt item, the conversation changes. 

Why SAP Technical Debt Stays Hidden Until It Hurts: SAP Software Solutions 

Most organizations underestimate their SAP technical debt because the symptoms are gradual. Month-end close takes a day longer than it used to. A custom report breaks after a patch. An upgrade project stalls because no one documented the 400 custom ABAP programs written between 2009 and 2017. 

Technical debt, in the SAP context, is the accumulated cost of shortcuts, custom code, and deferred maintenance. It makes future changes slower and riskier. It is not inherently bad. Sometimes customization is the right call. However, unscored and unmanaged debt compounds silently until it blocks a migration or causes a production incident. 

The Cost of Doing Nothing 

Gartner research indicates that organizations typically spend 60 to 80 percent of their IT budgets maintaining existing systems. They spend less on building new capabilities. In SAP environments, a disproportionate share of that maintenance cost traces back to legacy custom code and undocumented workarounds. Because the longer remediation is deferred, the more expensive it becomes. Each new project has to route around the existing debt. 

The board does not need to understand ABAP to make a funding decision. However, they do need a score they can compare against a risk threshold. 

Building a Scoring Model Executives Can Follow 

A practical SAP technical debt score has three components: concentration, blast radius, and cost to remediate. Together, these three dimensions give a non-technical executive enough information to prioritize, fund, or defer action on any debt item. 

Component 1: Concentration 

Concentration measures how much custom code or technical debt clusters around a single business process, module, or system object. High concentration means a small number of programs or configurations carry a disproportionate share of risk. 

Score concentration on a scale of 1 to 5: 

1. Isolated, single-use customization with no downstream dependencies

2. Customization used in one process area with limited integration

3. Customization shared across two or three process areas

4. Customization embedded in a core process (finance, procurement, logistics)

5. Customization that touches multiple modules and runs in batch or real-time across the system 

A score of 4 or 5 on concentration alone should trigger a deeper review. Notably, in SAP ERP environments, finance and logistics customizations tend to score highest. They connect to almost everything else. 

Component 2: Blast Radius 

Blast radius measures the business impact if a debt item fails or blocks an upgrade. This is where the conversation shifts from IT to the board room. 

Score blast radius on a scale of 1 to 5: 

1. Failure affects a single user or a non-critical report 2. Failure affects a team or department, with manual workarounds available 3. Failure delays a business process by hours, with moderate revenue or compliance impact 4. Failure halts a critical process (month-end close, order fulfillment, payroll) 5. Failure causes regulatory non-compliance, data loss, or system-wide outage 

When you multiply concentration by blast radius, you get a raw risk score out of 25. Any item scoring 15 or above warrants immediate executive attention. 

Component 3: Cost to Remediate 

The third dimension converts risk into a funding decision. Cost to remediate should include developer time, testing, change management, and any downtime required. Express it in days of effort and in dollars, using your internal blended rate. 

For each debt item, estimate: 

• Developer effort in days (analysis, refactoring, unit testing) 

• Functional consultant review time 

• User acceptance testing and sign-off 

• Deployment and hypercare window 

This gives the board a simple equation: risk score versus remediation cost. A debt item scoring 20 out of 25 that costs $40,000 to fix is a straightforward business case. In contrast, a debt item scoring 8 out of 25 that costs $200,000 to remediate can wait. 

How AI Is Changing the Remediation Math 

One reason boards have historically deferred SAP technical debt remediation is the cost estimate. A large ABAP codebase can take a team of developers weeks or months to analyze and refactor. However, that assumption is changing. 

In a recent 2iSolutions S/4HANA engagement, AI analyzed and refactored more than 11,000 lines of legacy custom ABAP in approximately one day. The same scope of work would normally take a development team about a month. Furthermore, every transformed program passed consultant review. All programs were validated at 100 percent functional parity before release. No shortcuts were taken on quality. The AI accelerated the analysis and transformation. The consultants validated the output. 

The business result was direct. Month-end close on the affected reports moved from seven days to one. That is the kind of outcome that belongs in a board presentation, not just a project status report. 

What This Means for Your Remediation Cost Estimates 

When you build the cost-to-remediate component of your scoring model, factor in AI-assisted analysis as a realistic option. This applies to large ABAP codebases. The effort reduction is significant enough to change the economics of remediation projects. Previously, these projects seemed too expensive to justify. 

This does not mean AI replaces consultant judgment. In the 2iSolutions engagement described above, consultant review and functional validation were non-negotiable steps. However, the time required for the mechanical work of analysis and initial refactoring dropped dramatically. As a result, the overall project cost came down. The business case became easier to approve. 

Organizations exploring SAP Business Technology Platform Consulting are increasingly asking about AI-assisted code analysis. Significantly, this is part of their modernization roadmap. It is a reasonable question, and the answer is clear. The capability is mature enough to use in production engagements today. 

--- 

Applying the Score Across Your SAP Portfolio 

Once you have scored individual debt items, the next step is to map them across your SAP portfolio. Group items by module, by business process, and by upgrade dependency. 

Prioritization by Upgrade Dependency 

If your organization is planning a move to SAP S/4HANA Private Cloud, debt items that block the migration automatically move to the top of the list. Custom code that uses deprecated function modules, non-standard table accesses, or obsolete APIs will fail compatibility checks. Scoring these items first gives you a migration readiness view. The board can fund this view against a timeline. 

For organizations in specific verticals, the picture gets more specific. Companies running SAP High-Tech Manufacturing environments often carry deep customizations in production planning and quality management. Similarly, organizations on SAP S/4HANA for Retail frequently have custom pricing and promotion logic. This logic requires careful analysis before any upgrade. In both cases, the scoring model applies the same way. Concentration, blast radius, and remediation cost remain the three dimensions regardless of industry. 

Building the Board Presentation 

A board-ready technical debt report does not need to be long. It needs three things: 

• A heat map showing debt items plotted by risk score and remediation cost 

• A top-10 list of highest-risk items with a one-line business consequence for each 

• A total remediation cost estimate with a phased funding recommendation 

The heat map does the most work. Items in the upper-left quadrant (high risk, low cost) are your immediate priorities. Items in the lower-right quadrant (low risk, high cost) go on the long-term roadmap. Everything else falls somewhere in between. 

Organizations working with 2iSolutions on SAP ERP Implementation Services often use this framework during the discovery phase. Notably, they establish a baseline before migration work begins. Starting with a scored inventory means the project team is not discovering debt mid-migration. This is where costs spike and timelines slip. 

Keeping the Model Vendor Neutral and Practical 

The scoring model described here works regardless of which SAP release you are running. It applies equally to on-premise ECC environments, hybrid landscapes, and cloud-native deployments. 

The key is to keep the scoring criteria consistent. If you change the blast radius definition halfway through the assessment, you lose comparability across items. Assign a small working group to calibrate the scoring criteria before the assessment begins. This group should include one functional lead, one technical lead, and one finance representative. That calibration session typically takes half a day. Consequently, it prevents weeks of debate later. 

Organizations accessing SAP Services through a managed services or consulting partner should ask that partner to run the initial scoring pass. They will have seen similar debt patterns across multiple clients. They can benchmark your scores against industry norms. That benchmarking context is valuable when presenting to a board. The board wants to know whether your debt level is typical or exceptional. 

Frequently Asked Questions 

Q. What is SAP technical debt and why does it matter to the board? 

A. SAP technical debt is the accumulated cost of custom code, deferred upgrades, and undocumented workarounds. It makes future changes slower and riskier. It matters to the board because unmanaged debt directly increases the cost and risk of any future SAP migration or upgrade project. Quantifying it with a scoring model gives executives the information they need to make funding decisions. 

Q. How long does it take to score a typical SAP custom code inventory? 

A. For a mid-sized SAP environment with several hundred custom objects, an initial scoring pass typically takes two to four weeks. This uses a combination of automated analysis tools and consultant review. However, AI-assisted analysis can compress the analysis phase significantly. Especially for large ABAP codebases, as demonstrated in a recent 2iSolutions engagement. 

Q. Can the scoring model be used for SAP S/4HANA migration planning? 

A. Yes. In fact, migration planning is one of the most common use cases. Debt items that block compatibility with SAP S/4HANA Private Cloud automatically receive higher scores. Their blast radius includes the entire migration timeline. Scoring before migration discovery prevents costly surprises mid-project. 

Q. What role does AI play in SAP technical debt remediation today? 

A. AI can now analyze and refactor large volumes of legacy ABAP code at a speed that was not practical with manual methods alone. The critical point is that AI-generated output still requires consultant review. Functional validation is required before release. At 2iSolutions, every AI-transformed program in a recent S/4HANA engagement was validated at 100 percent functional parity before deployment. 

Q. How do we present technical debt remediation as a business case rather than an IT request? 

A. Frame each debt item in terms of business consequence, not technical detail. A blast radius score of 4 or 5 translates directly into statements like "this item can halt month-end close." Or "this item creates regulatory exposure." Pairing that consequence with a remediation cost gives the board a risk-adjusted investment decision. This is a format they already use for capital expenditure approvals. 

Conclusion 

Scoring SAP technical debt is not a technical exercise. It is a business risk exercise that happens to involve technical inputs. The three-component model described here gives non-technical executives a consistent, comparable view. They can see where their SAP environment is most exposed. They can see what it will cost to address it. The three components are concentration, blast radius, and cost to remediate. 

The economics of remediation are also shifting. AI-assisted analysis has made it practical to assess and refactor large ABAP codebases. This takes a fraction of the time previously required. That changes the cost-to-remediate estimates that feed into the scoring model. Consequently, it changes which debt items clear the business case threshold. Organizations that update their remediation cost assumptions will find more items worth fixing. They will reflect current AI capabilities. 

2iSolutions works with organizations at every stage of this process. We help with initial scoring and board presentation through to full remediation and migration delivery. The goal is always the same: turn a vague sense that the system needs work into a funded, sequenced plan. The business can execute this plan with confidence. 

Ready to score your SAP technical debt and build a board-ready remediation plan? Talk to 2iSolutions today. 

Reference: 2026 SAP developer survey — The 2026 SAP developer survey provides additional context on how developers are adapting to these changing tools and practices.