From SaaS Adoption to In-House Development: The Turning Point in IT Investment Strategy for Leaders in the AI Era

The Deep Chasm Between the Ideal and Reality of SaaS Adoption

SaaS gained rapid popularity due to its easy implementation and cutting-edge features. However, a significant gap between ideal and reality has emerged in many companies. Employees struggle to utilize overly complex features. Customization to fit unique internal processes has its limits. The most serious issue is the burden of costs. Monthly subscription fees accumulate as fixed overhead, regardless of actual usage. This growing fixed cost is particularly straining the management of small and medium-sized enterprises. Consequently, a fundamental question arises: “Is this investment truly necessary?”

Reassessing IT Investment Strategy Triggered by “SaaS Fatigue”

Are multiple SaaS tools proliferating chaotically within your company? Management becomes cumbersome, and security risks increase. Data often fails to integrate between tools, creating inefficiencies. This state is referred to as “SaaS fatigue” or “SaaS spaghetti.” Many leaders are beginning to feel this dilemma. A new alternative gaining attention is a return to in-house development powered by AI. This is not merely a shift in technology trends. It signifies a transformation in the very core of management-related IT investment strategy.

The Democratization of In-House Development Brought by Generative AI

Generative AI like ChatGPT and Claude has completely changed the landscape. These AI assistants can generate code from natural language instructions. It is now possible to develop simple business tools without deep programming expertise. Tasks that previously required SaaS subscriptions or external contracting costing millions of yen (tens of thousands of USD) can potentially be developed internally using AI. Development timelines and costs are dramatically reduced. This is a change that fundamentally overturns how leaders think about procuring and utilizing IT resources.

A New Management Approach: Leaders Themselves Define and Shape Specifications

The most revolutionary change is in how leaders engage. Executives and frontline managers can directly define tool specifications by conversing with AI. There’s no longer a need to explain unique company know-how or nuanced processes to external vendors. An era has arrived where leaders, with their deep understanding of core operations, can digitally shape them. This means “the fusion of management and IT” is advancing to an unprecedented level. The distance between IT strategy formulation and execution has drastically shortened.

Building an Independent IT Foundation as a Source of Competitive Advantage

Breaking free from SaaS dependency and supporting in-house development requires robust infrastructure. The core lies in building cloud servers (like AWS, GCP, Azure) and establishing security frameworks. The key here is designing with AI utilization in mind, ensuring future scalability. Specifically, the following points are crucial.

• Flexible Data Management Foundation: An environment where proprietary data can be freely utilized and analyzed.
• API-First Design: A mechanism enabling integration with various tools and AI services.
• Balancing Security and Development Efficiency: An environment enabling safe yet rapid development and deployment.
• Scalable Architecture: A structure allowing resource augmentation as needed.

This foundation itself becomes a hard-to-imitate source of competitive advantage.

Hybrid Strategy: The Optimal Combination of In-House Development and SaaS

There’s no need to develop everything in-house. What’s important is strategic differentiation. Optimize “core operations” fundamental to your competitiveness through in-house development. On the other hand, utilize SaaS for “contextual operations” that are generic and not a source of differentiation. For example, develop a unique customer evaluation process in-house, while using SaaS like SendGrid for email distribution. The decision criteria can be summarized in four points.

• Strategic Importance: Is the operation directly linked to our competitive advantage?
• Data Sovereignty: Is it necessary to ensure ownership and control of related data?
• Cost-Effectiveness: Is the total cost of in-house development lower than the lifetime cost of SaaS?
• Organizational Capability: Do we have the technical and operational capability to develop and maintain it internally?

Four Practical Steps to Start Today

This transition won’t happen overnight. We recommend starting with the following concrete steps.

Step One: Conduct a “Health Check” on SaaS Usage
List all currently contracted SaaS tools. Evaluate each tool’s actual usage rate, cost, and replaceability. Many companies discover unused high-cost tools or tools with overlapping functionalities.

Step Two: Use AI Assistants as “Business Partners”
Start using ChatGPT or Claude not just as chat tools, but as business tools. Gain experience by drafting reports, instructing data analysis, and generating simple automation scripts.

Step Three: “Pilot Development” to Gain Confidence Through Small Successes
Select one frequent internal task that is cumbersome with existing tools. With AI’s help, try developing a small tool or script to automate that task.

Step Four: Formulate a Mid-to-Long-Term “Self-Sufficient IT Infrastructure” Roadmap
Based on the pilot development experience, create a plan for building the foundation to support in-house development. This includes selecting a cloud environment, reviewing security policies, and, if necessary, plans for hiring or training development talent.

The New Era of IT Investment is Forged by Leaders

From the peak of SaaS dominance to an era of autonomous IT creation powered by AI. The essence of this shift lies more in the change of the “leader’s role” than in technological change. Leaders are no longer mere approvers of IT investment; they are its designers and, in some cases, co-creators. The key is not a binary choice between SaaS or in-house development. It is about constructing an optimal hybrid model that maximizes your business model and competitive advantage. Leveraging the democratized technology of generative AI, leaders themselves become the executors of IT strategy. Why not take that first step today?