#Japan #Tokyo #AI consulting #Incerto LLC #Economic Approach

Strengthening AI Development through Economic Approaches at Incerto LLC

Incerto LLC, based in Arakawa, Tokyo, is enhancing its commitment to AI development and consulting by employing an economic approach in its processes. The company is integrating concepts such as information asymmetry, incentives, mechanism design, and causal inference into its AI developmental frameworks.

Background and Purpose

The team at Incerto includes members who are studying AI and economics in graduate school. They have provided support for various industries through document processing automation, operational efficiency improvement, and AI agent implementation. However, during their practical work, the team has encountered certain challenging areas poorly addressed by AI alone, including the verification of causal effects of policies, judgments regarding pricing and demand, optimal distribution of multiple options, designing contracts and incentives that tackle information asymmetry, and designing organizational structures or systems. These topics overlap significantly with themes long explored by economics, such as causal inference, market design, mechanism design, and contract theory.

Recognizing the potential offered by their combined expertise in economic research and practical AI implementations, Incerto decided to reinforce its efforts in these areas, with plans to present specific cases and services over time that are tailored to sectors in need.

Focus Areas for Enhanced Efforts

The primary domains in which Incerto will integrate economic methodologies into AI development include:

1. Causal Inference for Effect Verification
Measuring the effects of measures through observational data or A/B testing to inform subsequent actions.
- Applicable to: Marketing effect measurement, evaluating business improvements, decision-making for operational changes.

2. Pricing Design
Strategies for price adjustment, coupon creation, and reviewing pricing tiers based on price elasticity.
- Applicable to: Retail, e-commerce, subscription pricing strategies, promotional design.

3. Demand Forecasting
Predictions accounting for uncertainty that guide inventory, ordering, and placement operations.
- Applicable to: Manufacturing, logistics, store management, staffing shifts.

4. Distribution and Matching Design
Designing assignment, shifts, sales allocations, and matching based on market design principles.
- Applicable to: Operational optimization, resource allocation, workforce matching.

5. Incentive Design
Crafting incentives and mechanisms to solve problems arising from information asymmetry and principal-agent issues.
- Applicable to: Sales management, organizational operations, outsourcing, supply chains.

6. Utilization of Collective Knowledge
Translating external information and market predictions into operational contexts.
- Applicable to: Management decisions, risk forecasting, external environment monitoring.

Service Structure

The application of economic approaches will be customized based on the operational contexts of each organization and their data and system capabilities. Incerto offers both project-based individual support and ongoing collaborative assistance tailored to goals and frameworks. Instead of standard package offerings, the services will be designed considering the existing workflows, data environment, and constituents of the decision-making processes.

Consultation Opportunities

To explore the integration of economic approaches into AI applications, Incerto offers free assessments to determine how these methods can be applied effectively in various operational areas. Consultations will cover workflow organization, identification of applicable domains, feasibility of AI-enabled support, and priority areas for initiation among others.

The results from these assessments will yield actionable advice, regardless of whether they lead to paid engagements, ensuring that clients can commence improvement initiatives.

• - Target Audience: Business leaders, project managers, DX/AI promoting personnel, and mid to large enterprises considering data utilization.
• - Consultation Format: Online (approximately 45-60 min) or on-site as needed.
• - Cost: Free.
• - Contact for Inquiries: [email protected]. More information is available on Incerto's website.

Comments from the Representative

The founder of Incerto, Aito Sato, emphasizes that with AI initiatives, it is crucial to focus not only on enhancing model accuracy but also on addressing design issues such as what to predict, how to use predictions effectively, and how to measure the effects of measures. In particular, the challenges arising from information asymmetry, allocation and matching design involving multiple stakeholders, and the verification of causal effects in initiatives are recurring topics in corporate practice.

Through the integration of AI with economic approaches, Incerto aims to expand the range of solutions available in these complex domains. The company is committed to continuously strengthening its AI development and consulting initiatives based on economic perspectives, ensuring that practical support aligned with real-world business needs is readily available.

Company Overview

• - Name: Incerto LLC
• - Representative: Aito Sato
• - Location: Arakawa, Tokyo
• - Business Description: Consulting for management and operational improvements through AI, support for AI systems and AI agents development, Blockchain, and Web3 development support.
• - Established: March 23, 2026
• - Website: www.incerto.tech
• - Email: [email protected]