When technical debt in Salesforce accumulates and diminishes the platform’s capabilities, the total cost of ownership increases and reduces the value of investing in Salesforce. What do Salesforce owners need to know about the impact of technical debt on the total cost of ownership?
In this guide you’ll learn what Salesforce technical debt actually is, the categories that hurt the most, how to score it so leadership can act on it, and cleanup playbook — including how to use Org Check now that Salesforce Optimizer has been retired. It’s written for Admins, Developers, and Architects who’ve inherited an org and have to make it Agentforce-ready without breaking what’s already running.
The total cost of ownership (TCO) for Salesforce refers to the overall long-term cost of owning the platform. It includes expenses for implementing and managing the software throughout its lifecycle, hiring skilled staff such as developers and IT personnel, hardware, licenses and renewal fees, security, user onboarding, and training.
What is Technical Debt?
Technical debt is the result of adding customizations or processes for the needs of one department or to solve one specific issue, instead of strategically addressing the needs of the organization as a whole. While a little technical debt is acceptable, when debt builds up in the platform, the system becomes more complex, and the performance of the platform slows down.
When more complexity is added to the system without addressing technical debt, the system slows down, and the platform stops being a powerful CRM. Technical debt is also known as design debt or tech debt.
Salesforce Technical Debt
Salesforce Technical debt used to be a developer’s problem when taking shortcuts with code without understanding the platform. However, Salesforce is a low code platform but technical debt now appears as a result of clicks and as well as code. In Salesforce, technical debt extends beyond the code and includes overlapping processes, multiple automations with workflow, too many process builders on a single object, and too many custom fields with incorrect relationships, which may cause row lock errors.
Technical debt occurs when coding or customization decisions are made with time, budget, and simplicity as the priority, instead of planning strategically to address the needs of the entire organization. When changes are made to Salesforce based on the needs of individual departments or to resolve issues as they occur, the technical debt continues building up.
You might hear about Salesforce issues like SOQL 101 errors, Too many DML issues, CPU time limits, and Row locks due to that you are not able to extend the Salesforce implementation. In short Tech, Debt is the Silent killer of your org. Let’s learn about the impact of Salesforce Technical Debt on the Total Cost of Ownership (TCO).
Three things make Salesforce debt different from generic software debt:
- Click and code share the same surface area. A workflow rule, a Process Builder, a flow, a trigger, and a managed package can all touch the same field on the same object. Debt isn’t just bad code — it’s overlapping intent.
- The platform retires features under you. Workflow Rules and Process Builder reached end of support on December 31, 2025. Anything you didn’t migrate to Flow is now unsupported by Salesforce, and that’s debt by definition.
- Customization is metadata. You can accumulate thousands of custom fields, dozens of record types, and hundreds of layouts without writing a single line of Apex. The org gets heavy without anyone “coding.”
A useful working definition: Salesforce technical debt is anything in your org that costs more to keep than to remove, but hasn’t been removed yet.
Why 2026 Is the Year It Catches Up With You
The Salesforce community has been calling 2026 the year of technical debt for a reason. Three forces are converging:
- Agentforce and Einstein need clean ground. Agents reason over your metadata and your records. Duplicate accounts, half-built objects, and contradictory automations make the agent confidently wrong — which is worse than slow.
- AI-assisted build accelerates accumulation. Vibe-coded flows and copilot-generated Apex are landing in production faster than design reviews can keep up. Speed of build × no governance = compounding interest.
- Workflow Rules and Process Builder are out of support. As of January 1, 2026 you keep running them at your own risk. Salesforce has stopped fixing bugs in them.
If you’ve been deferring debt for the past five years on the bet that “we’ll deal with it later,” later is now.
The Five Categories of Salesforce Technical Debt
Most teams treat debt as one big lump. It isn’t. Each category has its own cost driver and its own fix.
1. Code Debt
The classic kind. SOQL inside a for loop, hard-coded record-type IDs, three Apex classes doing what one helper should do, and unit tests written only to clear the 75% coverage gate.
Two queries × N rows is how you meet the 100 SOQL queries governor limit and the 150 DML statements ceiling at the same time. Bulkify or pay the limit fee at runtime.
2. Automation Debt (a.k.a. Click Debt)
This is the one most orgs underestimate. Symptoms:
- Multiple Process Builders on the same object, plus a few flows, plus a trigger.
- A field updated by both a workflow rule and a record-triggered flow — order of execution decides the winner.
- Email alerts wired into deactivated processes that still send.
If you have more than 100 active flows and several touching the same object, you almost certainly have overlap. The fix isn’t deleting things at random — it’s establishing one automation tool per object and migrating the rest into it.
3. Configuration Debt
Custom fields nobody reads. Record types created for one campaign in 2019. Page layouts that diverged across profiles because nobody had time to consolidate. Permission sets that look like clones of each other but aren’t quite.
Configuration debt is mostly invisible until someone tries to change the data model — at which point it shows up as deployment failures, slow page loads, and report builders timing out.
4. Data Debt
Duplicate accounts. Contacts with no email. Picklist values that exist in metadata but never appear in records. Required fields that turned optional during a fire drill and never got reverted.
Data debt is the one that breaks AI. An agent is training on your Account object can’t tell you anything reliable if 12% of the records are duplicates and 30% of Industry values are blank.
5. Architectural Debt
The biggest, hardest category. Custom objects are built when a standard object would have worked. Person Accounts enabled “to see what it does” and never reverted (you can’t revert it cleanly). Lookup fields with 40 references where a junction object would be cleaner. Data models that fit the 2018 sales process and not the 2026 one.
Architectural debt usually can’t be paid down within a sprint. It’s a program, not a ticket.
How Does Technical Debt Affect TCO?
The more technical debt accumulates in Salesforce, the more organizations will spend addressing issues with the platform instead of supporting customers and developing revenue opportunities. What is the impact of technical debt on Salesforce?
1. Increases Total Cost of Ownership
Technical debt has a major impact on the TCO and the return on investment (ROI) organizations envision when purchasing the platform. Adding customizations to Salesforce increases the TCO because of not only the cost to develop the customization, but also the cost to maintain it.
Often when technical debt accumulates, the system becomes more complex, with overlapping customizations and processes. As a result, the system begins to break down and organizations are required to spend more time, money, and resources to fix Salesforce, adding further to the TCO.
2. Reduces the Value of Salesforce
Organizations purchase Salesforce because it’s a powerful platform offering tools for customer relationship management. However, to get the most value from a Salesforce investment, organizations need to be using the platform for sales and marketing campaigns, engaging and supporting customers, collaborating, and gaining data insights.
Instead, technical debt results in unplanned downtimes and fixes, tasks that are time-consuming and complex, and an inability to introduce new features or technology that would help organizations stay innovative and agile. When organizations aren’t using Salesforce as they originally intended, the investment in the technology is wasted.
3. Loss of Revenue
Technical debt in Salesforce can limit an organization’s ability to remain agile and respond to market changes, or disruptions like the pandemic. Organizations stop being competitive when they need to spend large amounts of time and resources fixing problems in Salesforce instead of closing sales and winning new customers. Technical debt prevents organizations from delivering high-quality products and services leading to a loss of revenue.
4. Saving the Total Cost of Ownership
A little bit of technical debt in Salesforce is acceptable, but a build-up of debt can have a major impact on the TCO. The more technical debt accumulates, the less ROI organizations receive from their Salesforce investment.
Examples of Salesforce Technical Debt
So in the context of Salesforce, technical debt will typically mean any of these things:
- Poor code quality: Writing the Apex code multiple times rather than consolidating in a shared helper, or hard-coded variables rather than custom metadata, Writing SOQL and DML inside the for loop. Poor unit tests written to meet only code coverage rather than actually assert a valid result.
- Duplicate component: different styles of approvals for similar business processes, or multiple email templates for essentially the same communication
- Click and Code Together: To much automation on single object with workflow, process builder and Trigger will lot of code recursion issues. Creating a new custom object rather than tweaking the requirement to use standard objects. Hard-coded references in your configuration or code.
- Redundant cruft: having unused packages, inactive workflows, half-built validation rules, never-executed code, and remnants of proofs-of-concept and prototypes may kill your org over time.
- No Framework. Writing multiple triggers on a single object and too many Salesforce flows on a single object.
- Not scalable: Solutions that are not scalable, leverageable, or easy to maintain.
How to Reduce the Salesforce Technical Debt?
Let see how you can take a deep dive look on technical debt in your Salesforce Org. The conventional wisdom is that technical debt is caused by too many customizations.
1. Run a Real Org Assessment
You can’t pay down what you can’t see. Two free tools to start with:
- Org Check (Salesforce Labs, AppExchange) — the replacement for Salesforce Optimizer, which retired in the Winter ’26 release. Org Check inventories your metadata, surfaces unused or duplicate components, and flags Apex on old API versions. Install in a sandbox first.
- Salesforce Health Check (Setup → Security → Health Check) — security posture, not feature debt. Still worth running monthly because security debt is debt too.
For deeper code analysis, Apex PMD (open source) and Checkmarx for Apex catch hard-coded IDs, recursion risks, missing null checks, and SOQL-in-loop patterns. Wire one of them into your CI pipeline so new debt can’t ship without a flag.
2. Migrate Off Retired Features
Workflow Rules and Process Builder reached end of support on December 31, 2025. Salesforce no longer ships bug fixes for them. The Migrate to Flow tool (Setup → Process Automation → Migrate to Flow) handles most cases. Plan for manual rebuilds where the source process uses scheduled actions, invocable Apex, or complex criteria.
3. Adopt Design Patterns That Pay Themselves Back
A handful of patterns prevent more debt than any tool:
- One trigger per object with a handler class. Multiple triggers on the same object means non-deterministic order of execution and a guaranteed future bug.
- Trigger Framework (the Kevin O’Hara / fflib style) — separates concerns so the trigger itself stays empty.
- Apex Enterprise Patterns (Service / Domain / Selector / Unit of Work) for orgs above a certain complexity threshold.
- Before-save flows for same-record updates. They consume zero DML operations. Using an after-save flow to update the triggering record itself is one of the most common debt patterns we see.
- Custom metadata, not hard-coded values. Record-type names, threshold values, integration endpoints — none of these belong in Apex source.
4. Stand Up a Lightweight Governance Layer
Salesforce has promoted the concept of a Center of Excellence (CoE) for years as part of the overall governance body. The importance of introducing a process to validate the design of key user stories should not be underestimated.
Setup the Salesforce COE or Design Authority which will look like below. It will help you with A good level of standardization in the design process.

We should define and implement a Salesforce governance model and Governance at scale. You don’t need a 30-person Center of Excellence. You need:
- A design authority (one architect, sometimes two) who reviews any change above a defined threshold (new object, new integration, new managed package, new Apex class above 200 lines).
- A naming convention (
ObjectName_TriggerContext_Purposefor flows;Object_Trigger_Handlerfor Apex). Boring, but at 200 active flows it’s the difference between findable and lost. - Mandatory documentation in the metadata. Description fields on flows, classes, and fields. Not Confluence — in the org.
5. Have a Strategy
The next step to resolve the technical debt is to have the right strategy. Having the discipline to be aware of the design choices you’re making, and to track the debt as you become aware of it. Here are some steps we can follow.
- Make your product owner responsible. It is important that the debt is owned by someone with long term goals beyond the release.
- Include Architect. Having a Technical Architect in project is every important for any project. A good architect always think about bigger picture, think Strategically and communicate effectively.
- Assign and track cost. The cost is the effort required to remove the debt, and will typically increase with every incremental change made on top of the imperfect configuration; that is, every release that passes without repaying the debt increases it.
- The the big Pictures. Value is the gain to be made from fixing the debt. This may be a business impact of increased usability or better adoption, or it may be technical value in increased velocity, improved agility or reduced support costs.

6. Create backlog
Most of the Salesforce implementations are following the Pro methodology, especially using the most powerful framework, Scrum. To avoid being overwhelmed, it’s important to create a backlog. This can be captured like you do it by creating user stories that list the specific areas that need to be addressed. In order to get a holistic overview. Invest in improvements technical debt alongside new delivery.
7. Prioritize the clean-up
We always focus on developing new features but forget to resolve the technical debt. So it is very important to prioritize your technical backlog and create a plan to clean up. Some little technical debt is acceptable, but making a loss of all high-priority debt builds up in the platform, which may slow down the performance of the platform. So make some space for technical debt in your sprint planning and development.
Most effective delivery teams spend 20 to 30% of their time on long-term improvements to the solution.

The image is taken from an Apex hours session on “Agile in Salesforce“.
8. Click Vs Code
You might have heard clients complaining about ending up with 80% of their functionalities custom developed instead of the promised 20%. Focus on out-of-the-box functionality and tool for automation. Drive the productivity of your business and transform complex processes into apps with Lightning Flow and OmniStudio. Will developing anything on the platform keep the following point in mind for Click vs Code?
- Availability of Options without Code
- Governor Limits
- Long-Lasting Maintenance
- Business Need
- User Impact & Adoption
There are many advantages to leveraging an AppExchange app versus building a custom solution in Salesforce. So always consider the build Vs Buy as well.
9. Documentation
Code quality are important for any Salesforce Enterprise implementation. Before getting started with Salesforce Development, it is very important to document the best practices and code standards. This document checklist will help customers, project managers, administrators, and developers ensure that the code written for their use follows the Apex coding standard and avoids vulnerabilities and security issues.

10. Set up the code review process
Code review is a software quality assurance process. It can be manually by a team or by using an automated code review tool. The motive is to find bugs, resolve errors, and improving code quality. Check this session to learn about code review in Salesforce.

11. Use Strong patterns
Good patterns avoids the unhealthy divergence that happens when the same thing is built multiple times in different ways by people who don’t talk regularly. So it highly recommended to follow design patterns in Salesforce.
- Trigger Framework in Salesforce
- Apex Enterprise pattern
- Design pattern and best practices for lightning flow.
12. Use Salesforce Health check tools
Frequency of performing Salesforce org health checks on your org to ensure scalability of the system. The Heath Check tools scans your instance of Salesforce and compares your security settings & Salesforce Code to that of the Salesforce Industry standard. Check this post to learn about Tools to check Salesforce Org Health.
- Salesforce Health Checker
- Salesforce Optimizer
- Apex PMD Tool
- Checkmarx Apex Code Scanner
- Salesforce Accelerator
13. Connect with Salesforce Consulting partner
A Salesforce Consulting Partner has the expertise and experience to help your organization develop a strategy for tackling technical debt. They can provide guidance on reducing debt, cleaning data, and optimizing Salesforce to get the most value from the platform.
Bonus
I did not include the Salesforce test automation in this list, but that is also a very important part of resolving the technical debt. Check out our CTA Playlist on YouTube, and don’t forget to subscribe to our channel, so that you’re notified right away when a new video is available.

Real-World Examples of Salesforce Technical Debt
Three patterns we see in almost every legacy org review.
Example 1: The Opportunity object with seven automations. A workflow rule sets stage, two Process Builders update probability based on different criteria, a record-triggered flow stamps an audit field, two before-save flows write back-derived values, and a trigger sends to an external pricing service. The order of operations changed when the customer migrated to Lightning Experience and nobody noticed for a year. Fix: collapse to one trigger and one record-triggered flow per save context.
Example 2: The 1,400-field Account object. A long-running implementation kept adding fields per region. Many of them were write-only — populated once during a migration, never read again. Reports timed out. Fix: extract the unused fields with a metadata API query, confirm zero references in formulas, validation rules, and Apex, and retire them in waves of 50.
Example 3: The “AI-ready” customer data lake that wasn’t. A team flipped on Data Cloud and Agentforce, and their first agent answered customer questions with stale data because the upstream Salesforce data was 20% duplicated. Fix: data quality first, agents second. Always.
Summary
No system in use is completely free of technical debt, since no single technology or process is completely future-proofed. But can use some technical dept best practices to put that in under control. Not all technical debt are the same, so all technical debt require a different plan of attack. Through regular process for code review and maintenance can help us to make technical debt manageable.
It’s the cost of every shortcut, duplicate, or unmaintained customization in your Salesforce org — the work you’ll have to do later because you didn’t do it right the first time.
Start with a metadata inventory (Org Check), a security baseline (Health Check), and an automation map per high-traffic object. Then score each item by change frequency, blast radius, and cost to fix.
No. Salesforce Optimizer was retired in the Winter ’26 release. Use Org Check (Salesforce Labs, free on AppExchange) as the replacement.
End of support was December 31, 2025. Existing ones may still run, but Salesforce no longer fixes bugs in them. Migrate everything that’s still live to Flow.
Most healthy teams reserve 20–30% of each sprint for paydown. Below 20%, debt outpaces fixes. Above 30%, you’re under-investing in net-new value.







