Items stated in the management plan
FormulatedEach line is the climb from the baseline the document states to the target it sets. The slope is scaled against the largest climb in this document. For metrics expressed as percentages, differences are shown in percentage points (pt).The increase shown by the dotted line is calculated from the two reported figures because the company did not provide the amount of growth.
Because the paradigm shift in the systems integration business accompanying the rapid advance of AI is under way, we determined that concentrated investment in becoming “AI-native” is essential for sustainable growth. Rather than simply pursuing revenue scale, we will rebuild the strategy around a scenario of becoming a high-margin company with ¥10 billion in revenue, after improving the “quality of growth (profit margins and scalability)” through the use of AI.
| Item | Details |
|---|---|
| Plan name | New Medium-Term Management Plan (fiscal years ending September 2027 to September 2030) |
| Plan period | Fiscal years ending September 2027 to September 2030 |
| Progress against the plan | Formulated |
| Sales Target | 7,952 Millions of yen → 10,107 Millions of yen |
| Operating profit target | 381 Millions of yen → 1,008 Millions of yen |
| Operating profit margin target | 4.8% → 10.0% |
| ROE target | 15.1% (actual for the fiscal year ended September 2026) → Not disclosed |
| Payout ratio / DOE policy | From the fiscal year ending September 2027, revise the target consolidated dividend payout ratio to 35%–40%. Continue to pay stable dividends over the long term. DOE is stated as 4.6% for the fiscal year ending September 2027. |
| Investment amount by sector | Field AI investment / Amount Investment for the fiscal year ending September 2027: ¥100 million or more, Field Investment in AI-enabled products and services / Amount Investment for the fiscal year ending September 2027: ¥50 million or more, Field Human resources investment / Amount Not disclosed, Field M&A investment / Amount Not disclosed |
| Segment target | Segment System Integration Business / Indicator Direct-contract ratio / Target At least 40% |
| Non-financial targets | Indicator Health checkup participation rate / Target 100% / Timing Trend |
| Plan assumptions | The paradigm shift in the systems integration business accompanying the “rapid advance of AI” is under way, Fundamental transformation of IT development and operations processes driven by AI innovation, Shift in demand toward “high-value-added solutions” enabled by AI, Transition from general-purpose IT skills to talent with “business expertise and AI capabilities” |
| Key initiatives | Fundamental reform of the business model and cost structure through AI, Co-creation of high-value-added solutions combining “AI and our strengths”, Establishment of a self-directed talent base and organization leading the AI era, Promotion of AI engineer development and standardization of AI-driven development processes, Building a back-office “AI collaboration model”, Creation of new products and services through AI-driven development, Expanding the use of AI beyond the development domain, Promoting DX through AI, Phased development and securing of “core talent” for the AI era, Hiring and training by business strategy, Improving retention and productivity, Collaborative engineering built around “AI utilization and quality assurance” as a core strength, Expansion of prime contractor business (shift to high-gross-margin prime systems integration), Providing a platform infrastructure that accelerates AI implementation, Expansion of “AI-related training” centered on AI-driven development, Rolling out “security training” to support safety in the AI era, Strengthening “AI fundamentals training” to meet companies’ needs to embed AI, Realizing next-generation talent management based on learning data from the “Pijetre” learning platform, Enhancing the functions of existing products and services and expanding sales, Expansion into the new area of “AI governance and usage-control security”, Expansion into the mid-sized and small-business market, AI investment, Investment in AI-enabled products and services, Human resources investment, M&A investment |
| Results under the previous plan | Net Sales 7,952 / Operating profit 381 / Operating profit margin 4.8% → Net Sales 7,742 / Operating profit 428 / Operating profit margin 5.5% |
| Reason for revision or withdrawal | Because the paradigm shift in the systems integration business accompanying the rapid advance of AI is under way, we determined that concentrated investment in becoming “AI-native” is essential for sustainable growth. Rather than simply pursuing revenue scale, we will rebuild the strategy around a scenario of becoming a high-margin company with ¥10 billion in revenue, after improving the “quality of growth (profit margins and scalability)” through the use of AI. |
| Risks identified | Concern over declining medium- to long-term competitiveness due to delays in moving away from the traditional “man-month and effort-dependent” model, While the spread of generative AI is making in-house development easier, there is a risk of proliferation of systems with inadequate design and security |
| Publication date | 13 November 2026 |
Items this document does not state (8)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.Because the paradigm shift in the systems integration business accompanying the rapid advance of AI is under way, we determined that concentrated investment in becoming “AI-native” is essential for sustainable growth. We will move away from the traditional “man-month and effort-dependent” model and transform the business into one with higher added value and profitability.