Items stated in the management plan
Annual updateEach 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. The increase shown by the dotted line is calculated from the two reported figures because the company did not provide the amount of growth.
To continue and deepen the policies set out in the growth strategy in the previous materials and shift to a hybrid BPaaS model in which AI and people work together. The company also aims to increase the number of customers handled per employee through an AI-driven productivity revolution and improve its gross margin.
| Item | Details |
|---|---|
| Plan name | Business Plan and Growth Potential |
| Plan period | Starting fiscal year Not disclosed / Final year Fiscal year ending August 2027 |
| Progress against the plan | Annual update |
| Sales Target | Fiscal year ended August 2026 actual: 4,453 → Fiscal year ending August 2027 forecast: 4,468(+0.3%) |
| Plan assumptions | The working-age population is expected to decline from 73.10 million in 2025 to 62.13 million in 2040, a decrease of approximately 10.96 million over 15 years, The CAGR of the AI agent platform market is forecast at 142.8% for fiscal 2024–2029, Japan’s domestic BPO market was ¥5.07 trillion in fiscal 2024, up 4.0% year on year, AI adoption among small and medium-sized enterprises is approximately 12%; the gap with large enterprises is attributable not to the availability of tools but to a lack of knowledge about how to use them |
| Key initiatives | Harness the AI-driven productivity revolution at the forefront, Redesign customers’ operating models with AI, Transition to the CASTER NEO series, Strengthen the development of personnel who can use AI safely and practically and implement it in day-to-day operations |
| Results under the previous plan | Not disclosed → All 5 initiatives in the previous plan received a ○ rating (progress was as expected, or, despite being unexpected, was sufficient). In the fiscal year ended August 2026, the company achieved an operating profit for the full year, with operating income of ¥50 million |
| Reason for revision or withdrawal | To continue and deepen the policies set out in the growth strategy in the previous materials and shift to a hybrid BPaaS model in which AI and people work together. The company also aims to increase the number of customers handled per employee through an AI-driven productivity revolution and improve its gross margin. |
| Size of the Target Market | Domestic BPO market: ¥5.07 trillion in fiscal 2024, up 4.0% year on year. Source: Yano Research Institute, “Survey of the BPO (Business Process Outsourcing) Market (2025)”, Domestic BPO market forecast: ¥5.4 trillion in fiscal 2026, ¥5.5 trillion in fiscal 2027, ¥5.7 trillion in fiscal 2028 and ¥5.8 trillion in fiscal 2029. Source: Yano Research Institute, “Survey of the BPO Market (2025)”, AI agent platform market: CAGR of 142.8% for fiscal 2024–2029. Source: ITR press release (21 August 2025), Human resources-related business market: ¥9.7 trillion in fiscal 2024, up 3.4% year on year. Source: Yano Research Institute, “Survey of the Human Resources Business Market (2025)”, B2C e-commerce market: ¥26.1 trillion in 2024. Source: “Market Survey of Electronic Commerce for Fiscal 2024” |
| Risks identified | Lack of know-how for using AI and absence of personnel responsible for implementation, Increasing complexity and dependence on individual employees in business operations, Insufficient literacy and skills required to use generative AI, Difficulty integrating with existing systems and connecting data, Resources required for context design, configuration and tool integration, Security risk, Initial and ongoing costs, Handling unstructured data such as paper documents and PDFs, Risk that the expected benefits will not be achieved after the PoC, preventing full-scale implementation |
| Publication date | 27 October 2026 |
Items this document does not state (14)
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.As the decline in the working-age population and labor shortages make the limitations of a labor-dependent model increasingly apparent, implementing and operating AI also requires work design, systems integration and other resources. The company aims to improve productivity through AI, increase the number of customers handled per employee, and raise its gross margin over the medium to long term.