Artificial Intelligence has made software development easier than ever before. A person with limited programming knowledge can now use AI tools to generate code, create application screens, build reports, and develop small business applications. What previously required a team of developers can sometimes be completed by a single developer with the help of AI. However, while creating these applications is now simpler, AI software maintenance remains a hidden challenge that businesses must address for long-term success
For business owners, this sounds like a great opportunity.
Imagine that your company needs an application to manage inventory, purchase orders, sales, or production. Instead of investing in an established software solution, you hire a developer who uses AI to build the application according to your requirements. The application is delivered within a few weeks, the screens look good, and the initial investment is relatively low.
Everything appears to be working perfectly.
But what happens six months later when the developer leaves the company?
What happens when an employee reports that the stock balance is incorrect? What happens when the application stops working after a database upgrade? Who will fix the problem when the developer is unavailable? And what happens when your business needs a new feature that the original developer never documented?
You may have paid a developer once to build the application, but have you considered who will maintain it for the next five years? If the application manages your inventory, production, purchases, or financial transactions, can your business afford to stop using it because the developer is unavailable?
These questions are often missing from the initial discussion.
The biggest risk of AI-generated software may not be the cost of building it. It may be the cost of maintaining it after the person who built it is gone.
In this article, we will explore the hidden maintenance challenges of AI-generated software, understand how they affect businesses, and discuss why long-term software ownership deserves as much attention as initial development.
1. AI Has Made Software Development Easier, But Has It Made Software Maintenance Easier?
There is no doubt that AI has changed software development.
Developers can now use AI tools to generate code, suggest solutions, identify errors, create database queries, and prepare technical documentation. This can significantly reduce the time required to develop an application.
For example, a manufacturing company may want a simple application to record material receipts and issue materials to production.
A developer can explain the requirement to an AI tool and generate:
- A database structure for products and warehouses.
- A screen to record material receipts.
- A screen to issue materials.
- A stock balance report.
- A basic dashboard showing available inventory.
The application may be ready much faster than it would have been using traditional development methods.
But software development does not end when the application starts working.
Once employees begin using it, new situations appear. A purchase receipt may be cancelled. A material may be returned to a supplier. A production order may consume more material than originally planned. A user may enter an incorrect transaction and request a correction.
The application must handle these situations correctly.
AI can help developers solve such problems, but someone still needs to understand the existing application, identify the actual cause, validate the proposed solution, and ensure that the change does not create another problem.
This is where software maintenance becomes important.
Generating code is one activity. Taking responsibility for software throughout its life is another.
2. The Developer Leaves, But the Software Remains
Let’s consider a small manufacturing company that decides to build its own inventory management application.
The company hires a developer who uses AI to create the application. The developer completes the work, conducts basic testing, trains the users, and hands over the application.
For the first few months, everything works as expected.
The company records purchase receipts, material issues, stock transfers, and sales dispatches. Management can view stock balances without maintaining multiple Excel sheets.
After some time, the developer gets another job and leaves the company.
Initially, management is not worried because the application is already developed.
Then problems begin to appear.
One day, the warehouse manager reports that the physical stock is different from the stock shown in the application. The company discovers that a material return transaction is not updating the inventory correctly.
The management contacts the original developer, but the developer is no longer available.
A new developer is hired to investigate the problem.
The new developer asks several questions:
- Where is the database structure documented?
- How are inventory transactions processed?
- Which tables store the stock balance?
- How are material returns handled?
- Where is the source code?
- Which AI-generated code was modified manually?
- How was the application deployed?
Unfortunately, the company does not have complete answers.
The new developer now needs to understand the application before fixing the actual problem.
The company has already paid for the software once. Now it must pay again to understand and maintain what was developed.
This is a common risk with software that depends heavily on one developer or one development team.
The problem is not necessarily that the original developer used AI. The problem is that the company did not establish a proper maintenance and knowledge-transfer process.
3. Why AI-Generated Code Can Become Difficult to Maintain
AI-generated code is not automatically bad code. In fact, when used correctly, AI can help developers produce useful and well-structured applications.
The risk comes when code is generated quickly without sufficient review, testing, documentation, and architectural planning.
There are several reasons why maintenance can become difficult.
A. The Original Developer Understands the Application, But Nobody Else Does
A developer who builds an application over several weeks becomes familiar with its structure.
They know why a particular function was written, where a specific business rule is implemented, and how different screens communicate with the database.
However, this knowledge may exist only in the developer’s mind.
When that developer leaves, the company loses an important source of information.
A new developer may be able to read the code, but understanding the complete application can take considerable time.
AI can help explain existing code, but it cannot always identify the original business intention behind every decision, especially when requirements and development changes were not documented.
B. The Application Has No Proper Technical Documentation
Many small software projects focus on completing the required functionality as quickly as possible.
Documentation is often postponed.
Important information may be missing, including:
- Database tables and relationships.
- Application architecture.
- Business rules and validations.
- API specifications.
- User roles and permissions.
- Installation and deployment instructions.
- Backup and recovery procedures.
- Integration details.
When a new developer joins, they must spend time discovering how the application works.
This increases maintenance costs and delays problem resolution.
C. Quick Fixes Can Create Future Problems
Suppose the application has an error in the stock calculation.
The developer asks AI to identify the issue and generate a correction. The correction works for the reported transaction, but it has not been tested against material returns, stock transfers, or production consumption.
A few days later, another user reports a different stock problem.
The original correction may have affected another part of the application.
This can happen when developers make changes without understanding the complete transaction flow.
A software fix should not be considered successful simply because the reported error disappears. It must also be tested against related processes.
D. AI-Generated Code May Not Follow a Consistent Design
When an application is developed over several months, developers may use AI for different tasks at different times.
One screen may follow one coding approach, while another uses a different structure. Database queries may be written differently, and similar business rules may be implemented in multiple places.
Over time, the application becomes difficult to understand and modify.
A consistent architecture, coding standards, and code reviews are important, regardless of whether AI is used.
E. The Original AI Prompts and Development Decisions Are Missing
Developers often use AI conversations to explain requirements, generate code, and resolve errors.
But what happens when those conversations are not saved?
A new developer may have access to the source code but not the original instructions, design decisions, or reasoning behind certain implementations.
Keeping development documentation, technical decisions, and relevant AI-generated instructions can help future developers understand the application.
4. Real-Life ERP Perspective: A Small Inventory Problem Can Become a Financial Problem
In ERP implementations, inventory is one of the areas where a small technical mistake can create a much larger business issue.
Consider a company that purchases raw materials and uses them in manufacturing.
The process is straightforward:
- The company creates a purchase order for 1,000 units.
- The warehouse receives 1,000 units.
- The materials are issued to production.
- Finished goods are received into the warehouse.
- The finished goods are sold to customers.
Now imagine that the application updates the stock quantity when the purchase receipt is created, but does not correctly reverse the quantity when the receipt is cancelled.
The warehouse may continue showing stock that is no longer physically available.
The purchasing team may believe that sufficient material is available and delay another purchase order. Production then discovers a shortage when it tries to issue the material.
The result may include:
- Production delays.
- Emergency purchases.
- Missed delivery commitments.
- Incorrect inventory valuation.
- Additional reconciliation work.
A problem that initially looked like a simple software bug has now affected several departments.
There is another important consequence that businesses sometimes overlook: product costing.
Imagine that a manufacturing company purchases raw materials, issues them to production, and receives finished goods into inventory. If the application records material consumption incorrectly, the finished goods cost may also be incorrect.
For example, if the system records consumption of 100 units when the actual consumption was 120 units, the production cost calculation may not reflect the actual material used.
This can affect:
- Finished goods inventory valuation.
- Product profitability reports.
- Cost of goods sold.
- Production cost analysis.
- Management decisions about product pricing.
The problem is no longer limited to the inventory department. It can affect the finance team and management as well.
This is why ERP maintenance requires more than programming knowledge. The person maintaining the application must understand the business transactions and their impact on other modules.
In my ERP implementation experience, many issues that appear to be software problems are actually connected to process configuration, transaction sequence, master data, or accounting logic.
A developer who understands only the screen may fix the visible error without correcting the underlying business problem.
5. Another Example: The Application Works Until the Business Changes
Software is developed according to the business requirements available at a particular time.
But businesses do not remain the same.
Let’s consider a company that initially operates from one warehouse.
The application is developed to maintain product-wise stock balances. The company records purchases, sales, and material consumption.
After one year, the business opens two additional warehouses.
Now management wants to:
- Transfer stock between warehouses.
- Maintain separate stock balances.
- Restrict users to their respective locations.
- Track materials in transit.
- Calculate inventory valuation across locations.
- Generate warehouse-wise reports.
These requirements may appear to be simple additions.
However, if the original application was designed around a single warehouse, the database structure and transaction logic may need significant changes.
The developer may need to redesign parts of the application, migrate existing data, and test the complete inventory process again.
The company may have saved money during the initial development, but it now faces additional costs because future business requirements were not considered during the original design.
This is particularly important for growing companies.
Software should not only solve today’s problem. It should have a practical way to support tomorrow’s business requirements.
6. Five Hidden Costs of Maintaining AI-Generated Software
The initial development estimate usually receives the most attention. However, the long-term maintenance cost can be equally important.
Here are five costs that businesses should consider before building their own software.
1. Knowledge Transfer and Developer Replacement
When the original developer leaves, another person must understand the application.
This may involve reviewing source code, understanding database structures, studying business rules, checking integrations, and identifying deployment procedures.
If documentation is incomplete, the new developer may need several weeks or even months to become comfortable with the application.
The company pays for this learning period even though it has already paid for the original development.
2. Bug Fixes and Testing
Every application needs corrections over time.
A user may report that a report shows incorrect information, a transaction does not save properly, or a particular process produces an unexpected result.
The developer must investigate the problem, identify its cause, make the correction, and test the affected functions.
In an integrated business application, testing is especially important because one change can affect several other processes.
For example, changing inventory transaction logic may affect stock balances, stock valuation, material consumption, and financial reporting.
3. Technology Upgrades and Security
Applications depend on technology components such as programming languages, frameworks, databases, operating systems, and third-party libraries.
These components receive updates over time.
Some updates improve security or performance, while others introduce compatibility changes.
An application that works today may encounter problems after a database, framework, or server upgrade.
Businesses must plan for:
- Security patches.
- Database upgrades.
- Framework compatibility.
- Library updates.
- Server configuration.
- Backup and recovery testing.
Ignoring these activities can expose the company to security risks and operational disruption.
4. Future Enhancements
Business requirements change as the company grows.
A company may introduce a new warehouse, additional production processes, barcode scanning, subcontracting, or more detailed management reports.
These requirements need to be incorporated into the application.
If the original design is not flexible, even small enhancements may require significant redevelopment.
5. Business Downtime and Operational Loss
This is perhaps the most overlooked cost.
Imagine that the application stops working during the month-end closing period.
The finance team cannot complete inventory valuation, the warehouse cannot process transactions, and management cannot access the required reports.
Even if the developer fixes the issue within a day, the business may lose valuable working time.
In manufacturing, downtime can also affect material availability, production schedules, and customer deliveries.
The financial impact of software downtime can be much higher than the cost of maintaining the application.
What Could These Hidden Costs Look Like?
Consider a company that initially spends ₹3,00,000 to develop a custom business application using AI-assisted development.
A few months later, the original developer leaves. The company needs another developer to understand the application, correct existing issues, and upgrade parts of the system.
For illustration, assume the additional expenses are:
| Activity | Illustrative Cost |
| New developer’s knowledge transfer and code review | ₹40,000 |
| Correction of existing software issues | ₹60,000 |
| Technology upgrades and compatibility changes | ₹50,000 |
| Additional expenditure | ₹1,50,000 |
The original development investment was ₹3,00,000. The company has now spent another ₹1,50,000 on understanding, correcting, and upgrading the application.
This means the initial investment has increased by 50%, even before considering future enhancements and ongoing support.
These figures are illustrative, not market benchmarks. Actual expenses will depend on application complexity, code quality, documentation, developer availability, and the technology used.
The point is simple: the cost of building software is not necessarily the cost of owning it.
7. Who Is Responsible for Maintaining the Software?
Before developing or purchasing software, every business should clearly define who will be responsible for maintaining it.
There are generally four possible approaches.
A. Maintain an Internal Development Team
The company can hire its own developers to maintain the application.
This provides direct control over development and support.
However, the company must consider salaries, employee retention, technical training, and the availability of developers with the right skills.
For a small business, maintaining a complete development team may not be financially practical.
B. Depend on the Original Developer
Some businesses continue working with the same freelancer or developer who built the application.
This may work for a while, particularly when the developer is available and has a good understanding of the software.
However, it creates dependency on one individual.
What happens if the developer changes jobs, becomes unavailable, increases the support charges, or decides to stop providing services?
The company should always have access to the source code, documentation, deployment details, and a clear handover arrangement.
C. Hire Another Development Company
A business can appoint another software development company to maintain the application.
This can reduce dependency on one individual.
However, the new company must first understand the existing application. If the code is poorly structured or documentation is missing, the initial maintenance cost can be high.
The business should also ensure that the new development partner has access to the source code, database, infrastructure, and technical documentation.
D. Use an Established ERP with a Defined Support Structure
An established ERP solution generally has a more structured application foundation, documented functionality, and an implementation and support ecosystem.
This does not mean that maintenance is unnecessary.
The company still needs support for configuration, upgrades, customizations, user issues, and business changes.
The advantage is that the business is not starting with an application that only one developer understands. It can work with an implementation partner or qualified technical team familiar with the ERP platform.
8. What Should Businesses Do Before Accepting AI-Generated Software?
If you are planning to build custom software using AI, do not focus only on the delivery date and development price.
Make sure the project includes a proper handover and maintenance plan.
Here are some practical steps.
A. Ensure Complete Source Code Ownership and Access
The business should have access to the complete source code and related project files, subject to the agreed ownership and licensing terms.
Do not depend on a developer’s personal computer or private account to access the application.
B. Ask for Technical Documentation
The developer should provide documentation covering:
- Application architecture.
- Database design.
- Business logic.
- APIs and integrations.
- User access and permissions.
- Deployment instructions.
- Backup and recovery procedures.
This documentation should be updated when significant changes are made.
C. Maintain a Version Control Repository
The source code should be maintained in a proper version control system.
This allows the business or its development partner to review changes, track versions, and recover earlier code when required.
Access should be controlled and managed by the business rather than remaining exclusively with an individual developer.
D. Establish a Testing Process
Every important change should be tested before it is released to the live environment.
For business applications, testing should cover complete transaction flows, not only individual screens.
For example, an inventory change should be checked against purchase receipts, material issues, returns, transfers, and stock valuation wherever relevant.
E. Define a Maintenance Agreement
The business should clearly understand:
- Who will provide support?
- What is included in annual maintenance?
- How quickly will critical issues be addressed?
- Who will manage security updates?
- How will future enhancements be charged?
- What happens when the developer or service provider is unavailable?
A written agreement helps avoid confusion when problems occur.
F. Plan for Backup and Disaster Recovery
Regular backups are important, but businesses should also test whether the application and database can actually be restored.
A backup that cannot be restored when required does not provide adequate protection.
G. Keep Business Knowledge Separate from Individual Developers
The company should document important business processes, approvals, transaction rules, and reporting requirements.
This makes it easier for a new developer or support partner to understand what the application is expected to do.
9. AI Should Be Used as a Development Assistant, Not as the Only Maintenance Strategy
AI is a powerful development tool, and businesses should not ignore its benefits.
It can help developers:
- Understand existing code.
- Generate documentation.
- Identify possible errors.
- Write test cases.
- Improve database queries.
- Develop integrations.
- Speed up routine enhancements.
But AI-generated suggestions still need technical review and business validation.
For example, AI may generate a database query that returns the expected stock quantity for a particular report. However, an ERP expert must verify whether the query handles warehouse transfers, returns, reservations, production consumption, and other relevant transactions correctly.
The same principle applies to financial accounting.
A generated accounting function may work for a normal purchase invoice but fail to handle credit notes, price differences, tax adjustments, or other business scenarios.
AI can reduce the effort required to develop and maintain software. It cannot remove the need for people who understand the application, the technology, and the business process.
The most effective approach is to combine AI-assisted development with proper architecture, experienced technical review, documentation, testing, and ongoing support.
10. Why an Established ERP Can Reduce Long-Term Maintenance Risks
When a company implements an established ERP, it starts with a platform that has already been developed to manage common business processes.
Instead of building every module from the beginning, the company configures and implements existing functionality.
For example, a manufacturing ERP may already provide:
- Purchase requisitions and purchase orders.
- Goods receipts and supplier invoices.
- Inventory and warehouse management.
- BOM and routing.
- MRP and production planning.
- Material issue and finished goods receipt.
- Production costing.
- Financial accounting.
- Management reports.
The implementation team focuses on mapping the company’s processes to the ERP, configuring the required functionality, migrating data, training employees, and developing additional features where necessary.
This does not eliminate maintenance costs. The ERP still requires support, upgrades, security management, infrastructure, and customization management.
However, the business can work with an established ERP platform and a support partner rather than depending entirely on a custom application developed by one individual.
For businesses that need integrated operations across procurement, inventory, manufacturing, and finance, starting with an established ERP platform can reduce the need to develop and maintain every standard business process independently.
The right ERP implementation partner can also provide ongoing functional and technical support as the business grows.
Before selecting an ERP, businesses should evaluate its functional coverage, technology, documentation, upgrade approach, implementation partner, and long-term support arrangements.
11. The Right Question Is Not How Quickly AI Can Build Your Software
AI has changed the economics of software development, but it has not changed the responsibility of owning software.
A business application must work reliably after the development team leaves. It must support new employees, changing processes, additional locations, new products, and future business requirements.
A low initial development cost may look attractive, but the total investment can increase when the business needs to replace developers, correct errors, upgrade technology, or add new functionality.
Before approving an AI-generated software project, ask one important question:
If the developer who built this application leaves tomorrow, can another qualified person understand, maintain, and improve it without rebuilding everything?
If the answer is no, the business has a maintenance risk that should be addressed before the software becomes critical to daily operations.
The goal should not be to avoid AI-generated software. The goal should be to use AI responsibly and make sure the business is not dependent on one developer, one AI conversation, or one undocumented application.
Software development may take weeks or months, but software ownership continues for years. Plan for both.
How Can Cyprus ERP and Onfinity ERP Help?
At BRS Infotek, we work with businesses that want to manage their operations through integrated ERP solutions rather than maintaining disconnected applications for different departments.
Cyprus ERP – Open-Source ERP Without Software License Fees
Cyprus ERP is based on the open-source ADempiere platform and provides an integrated foundation for managing business operations.
It supports business areas such as:
- Procurement and vendor management.
- Sales and customer management.
- Inventory and warehouse management.
- Material Requirements Planning (MRP).
- Manufacturing.
- Financial management.
- Fixed asset management.
Cyprus ERP does not have a software license fee. Businesses can invest in implementation, configuration, customization, training, and ongoing support according to their requirements.
Instead of developing standard ERP functionality from scratch, businesses can start with an established ERP foundation and customize it where required.
Explore Cyprus ERP: https://www.cypruserp.com
Onfinity ERP – An AI-Enabled ERP Solution
Onfinity ERP is an AI-enabled ERP platform. It provides an integrated environment for managing business processes across different departments. Businesses looking for an ERP solution that combines established enterprise processes with AI-enabled capabilities can explore Onfinity ERP.
Explore BRS Infotek: https://www.brsinfotek.com
Planning to Implement an ERP?
If your business is planning to implement an ERP or replace disconnected business applications, connect with BRS Infotek to discuss your business processes and understand how an integrated ERP solution can support your operations.
👉 Visit https://www.brsinfotek.com to learn more.
💬 Let’s Start a Conversation!
Are you facing hidden challenges in software maintenance, or are you planning your next tech upgrade? Share your experience or ask your questions in the comments below. We would love to hear from you!
About the Author
Surya Sagar is the Founder and ERP Solution Architect at BRS Infotek, with 19+ years of experience in ERP consulting, implementation, and business process automation. He has successfully led over 100 ERP implementations across various industries, bringing deep practical expertise in procurement, sales, inventory management, MRP, manufacturing, warehouse management, financial management, and product costing.
Through his extensive consulting experience, he helps businesses understand how the right technology can improve operational efficiency, strengthen process control, and support sustainable business growth.
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