The Management Decision to Switch from SaaS to In-House Development: A New Systems Strategy Enabled by AI

The Shift Away from SaaS Dependence is Beginning

SaaS has been an essential component of corporate digitalization. However, with the rapid evolution of AI technology, this conventional wisdom is now being overturned.

In practice, a movement to replace daily-use SaaS services with in-house development is spreading. The reason is clear: it simultaneously enables improved data integration and operational efficiency.

Why the Shift from SaaS to In-House Development is Happening Now

1. Eliminating Data Silos

When using multiple SaaS products, data becomes dispersed across each service. This creates so-called “data silos.”

With an in-house developed system, you can design from the outset with data integration in mind. As a result, information sharing between departments becomes seamless.

2. Freedom of Customization

SaaS offers standardized services. It is rare for them to be a 100% perfect fit for a company’s specific workflows.

By leveraging AI, it has become possible to develop proprietary systems at a low cost. This allows for optimization tailored to your business operations.

3. Reducing Running Costs

SaaS typically operates on a monthly subscription model. As the number of users grows, so do the costs.

While in-house development requires an initial investment, it leads to cost savings in the long term.

The Dramatic Reduction in Development Hurdles Through AI Utilization

Leveraging Code-Generating AI

Generative AI like ChatGPT and Claude is democratizing programming. We are in an era where even non-engineers can build basic systems.

The actual development process is as follows:

• Analyze the functionality of existing SaaS
• List the required features
• Request code generation from AI
• Adjust the generated code
• Add features incrementally

Efficient Migration Through API Utilization

Many SaaS providers offer APIs. Leveraging these allows for smooth migration of existing data.

There are also cases where setting information is retrieved via API to automate manual creation tasks, contributing to the elimination of reliance on specific individuals.

Success Story: Automating Marketing Operations

Here is a case study of automating the marketing funnel from awareness to conversion using AI.

Previous Challenges

• Needed to use multiple different tools
• Data was scattered, making analysis difficult
• Monthly costs were becoming prohibitively high

Solution Through AI Utilization

We developed an integrated marketing system in-house. It centralizes everything from lead acquisition to nurturing and conversion management.

The sole remaining challenge is creating buzz through video content. However, for an AI-focused business, this can be leveraged to showcase technical prowess.

Three Steps Executives Can Start Immediately

Step 1: Take Inventory of Current SaaS Usage

First, list all SaaS products used within the company. Organize the monthly costs and frequency of use.

Step 2: Prioritize

Determine the priority for switching to in-house development based on the following criteria:

• High frequency of use
• High monthly cost
• Many customization requests
• Requires integration with other systems

Step 3: Start Small

We recommend starting with a simple internal tool. Accumulating successful experiences is crucial.

Risks and Countermeasures

Security Risks

With in-house development, security measures are also your responsibility. Utilize cloud services and implement basic security protocols.

Maintenance Burden

The maintenance and operation of the system must also be considered. However, the evolution of AI is gradually reducing this burden as well.

Conclusion: The Management Decision to Break Free from SaaS Dependence

The evolution of AI technology has made the migration from SaaS to in-house development a realistic option. It enables simultaneous improvement in data integration and cost reduction.

The key is not to switch everything at once, but to proceed incrementally. Start by targeting one SaaS product and experiment with AI-assisted development.

This experience will deliver value beyond mere cost savings. It will enhance your company’s digital capabilities and contribute to establishing a competitive advantage.

Now is the time to break free from SaaS dependence and achieve true digital transformation. With AI as a powerful tool in hand, build a new management strategy.