AI Implementation Fails to Yield Results - Solving the Structural Cause in the Field: FDE-Type AX Consulting 'AX Boost' Launched
KI Strategy Inc. has launched 'AX Boost,' an FDE-type AI Transformation consulting service designed to solve the problem of AI projects stalling at the PoC stage by directly embedding consultants into client operations to ensure implementation and results.
📋 Article Processing Timeline
- 📰 Published: March 30, 2026 at 19:04
- 🔍 Collected: March 30, 2026 at 22:56 (3h 51m after Published)
- 🤖 AI Analyzed: April 24, 2026 at 05:51 (582h 54m after Collected)
KI Strategy Inc. (Headquarters: Minato-ku, Tokyo) has launched the provision of its AX (AI Transformation) consulting service, 'AX Boost' (https://axboost.jp/).
Built on a foundation of 10 years in business and a wide range of management support experience across industries including finance, real estate, manufacturing, medical, systems, marketing, funds (DD/PMI), retail, human resources, shipping, and logistics, this service holds the supreme mandate of tying AI implementation to actual business results. The initial consultation is free.
Background: Structural Reasons Why AI Implementation in Japanese Companies Fails to Yield Results
While interest in utilizing AI among domestic companies is rapidly increasing, there is a never-ending stream of projects that halt at the PoC (Proof of Concept) stage. The cause is not a technological issue, but a lack of strategic design and failure in field implementation.
Even if implementation proceeds while it remains ambiguous 'where to apply AI,' ROI cannot be measured, and executive support is lost. If integration into the business workflow fails, all that remains is a system no one uses.
AX Boost solves this structural problem by stepping directly into the operational field.
Features of the Service
1. FDE (Forward Deployed) Type Support
FDE is a support model that stands at the 'front lines of the client's operations.' Consultants directly embed themselves in the client's field, grasp the operations, organization, and data from the inside, and then define issues, implement solutions, and make improvements. The priority is not to apply hypotheses from the outside, but to deliver something that works in the field. The evaluation metric is outcomes, not just slides.
2. End-to-End Support from Strategy to Integration
It handles all phases without fragmentation, from AX strategy formulation (business issue analysis, AI application area identification, ROI simulation, promotion plan formulation) to architecture design, AI model building, company-wide rollout, and integration support. It structurally eliminates the 'who takes over?' problem post-PoC and accompanies the client until the results take root in the field.
3. Flexible Pricing Structure (Outcome First)
Clients can choose from three types: consulting fee, performance-based, or hybrid. Through a reward structure linked to outcomes, the client and the supporting side can drive the project forward aiming in the same direction. Taking risks together is the basic policy of AX Boost.
Built on a foundation of 10 years in business and a wide range of management support experience across industries including finance, real estate, manufacturing, medical, systems, marketing, funds (DD/PMI), retail, human resources, shipping, and logistics, this service holds the supreme mandate of tying AI implementation to actual business results. The initial consultation is free.
Background: Structural Reasons Why AI Implementation in Japanese Companies Fails to Yield Results
While interest in utilizing AI among domestic companies is rapidly increasing, there is a never-ending stream of projects that halt at the PoC (Proof of Concept) stage. The cause is not a technological issue, but a lack of strategic design and failure in field implementation.
Even if implementation proceeds while it remains ambiguous 'where to apply AI,' ROI cannot be measured, and executive support is lost. If integration into the business workflow fails, all that remains is a system no one uses.
AX Boost solves this structural problem by stepping directly into the operational field.
Features of the Service
1. FDE (Forward Deployed) Type Support
FDE is a support model that stands at the 'front lines of the client's operations.' Consultants directly embed themselves in the client's field, grasp the operations, organization, and data from the inside, and then define issues, implement solutions, and make improvements. The priority is not to apply hypotheses from the outside, but to deliver something that works in the field. The evaluation metric is outcomes, not just slides.
2. End-to-End Support from Strategy to Integration
It handles all phases without fragmentation, from AX strategy formulation (business issue analysis, AI application area identification, ROI simulation, promotion plan formulation) to architecture design, AI model building, company-wide rollout, and integration support. It structurally eliminates the 'who takes over?' problem post-PoC and accompanies the client until the results take root in the field.
3. Flexible Pricing Structure (Outcome First)
Clients can choose from three types: consulting fee, performance-based, or hybrid. Through a reward structure linked to outcomes, the client and the supporting side can drive the project forward aiming in the same direction. Taking risks together is the basic policy of AX Boost.
FAQ
What is the biggest feature of 'AX Boost'?
The biggest feature is the FDE-type support where consultants directly enter the customer's site, providing consistent support from strategy to implementation at the site level.
What is the pricing structure like?
There are three options to choose from: consulting fee-based, performance-based, and hybrid, allowing flexible selection based on the project.
What type of companies is it best suited for?
It is best suited for companies where AI PoC projects have stalled or where AI has been implemented but is not being used effectively at the site level, resulting in no tangible results.