Manifesto
Let's not just use AI for efficiency.
Instead of relying solely on intuition when making important decisions.
We use the power of data science,
we redesign corporate decision-making.
First, based on all the data related to the business,
we elucidate and visualize the mechanisms of growth.
And we bring numbers, scientific evidence to decision-making situations.
Furthermore, we have systematized everything from on-site implementation to continuous learning and accumulation of knowledge assets.
To elevate it to a reproducible structure.
XICA. It's a decision-making engine for the AI era.
Implement the power to keep winning within your organization, transforming growth from a matter of chance to inevitability.
Management Issues in the AI Era
AI investment will accelerate efficiency on the frontlines.
However, these are just superficial suggestions based on throwing in data.
Disjointed discussions and disposable knowledge.
Even if the entire company promotes digital transformation (DX), the investment is meaningless if the top line doesn't improve.
Data utilization and AI adoption are progressing. However, management and business decision-making remain unchanged, and there is no tangible improvement in performance.
Discussions using data have increased. However, interpretations of the numbers vary widely, and the points of contention are not aligned. The process continues with a "let's just move forward for now" attitude, without reaching a conclusion.
The background and rationale for a decision reside in the mind of the person in charge. Every time the person changes, the organization's decision-making ability resets to zero.
Why did it work? What was effective? —The evidence remains. The accumulation of decisions does not transform into organizational intelligence.
AI has transformed the workplace, but decision-making processes remain unchanged.
Structural problems in decision-making
XICA's AI Decision Engine (AIDE) is a system that continuously evolves the decision-making process itself.
CORE 01
From generic answers obtained by simply handing over the data,
to evidence-based, insightful output.
CORE 02
From a discussion with scattered points,
to decisions that align perspectives, based on an understanding of the organizational context.
CORE 03
From AI confined to the individual,
to an unshakeable intellectual asset accumulated within the organization.
When the AI Decision Engine (AIDE) becomes established within an organization, decision-making transcends individual judgments and begins to drive a growth cycle that connects market, strategy, operations, and organizational knowledge—that is the "XICA Spiral."
The Philosophy of Growth — XICA SPIRAL
When AIDE's three core principles take root within an organization, decision-making ceases to be a one-way process. Dialogue with the market, strategy and value design, and on-the-ground improvement activities—these three elements intertwine in a spiral fashion, leaving a lasting context for decision-making even as personnel change. Individual ingenuity is transformed into organizational systems, and knowledge accumulates exponentially.
Based on the management transformation theory (Möbius model) of Senior Advisor Takashi Nawa, XICA has systematized the "XICA Spiral," which is a map of this growth structure. The essence of the value we deliver to our clients lies in actually keeping this spiral running within their organizations.






CEO Message
"As AI becomes more widespread, the focus of the competition will shift from 'efficiency' to 'the quality of decision-making.' Having worked with numerous companies on the front lines for 15 years, I can say this with certainty: even with comprehensive data, if decision-making doesn't change, it won't lead to results. Building decision-making as an organizational asset is the true critical point in today's management."
Yoshiaki Hirao
CEO of XICA Co., Ltd.
Senior Advisor Message
"Japanese companies are a treasure trove of skilled craftsmanship that will become increasingly valuable in the age of AI. If we can systematize this, we can achieve unprecedented growth with scale and speed. XICA's data science capabilities will accelerate the systematization of this craftsmanship, leading to a dramatic increase in corporate value."
Takashi Nawa
Visiting Professor, Hitotsubashi University Business School / Senior Advisor, XICA Co., Ltd.
AIDE's Composition
Transforming data into decision-making requires the insight of data science to interpret its meaning, the consulting skills to ground decisions within the organization's specific context, and the engineering techniques to establish it as an actionable system.
AIDE functions as an engine only when people and the platform come together.
Insights