XICA AI Decision Engine | Decision-Making Engine for the AI ​​Era

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.

Making decisions inevitable. XICA

Management Issues in the AI ​​Era

Is that investment truly helping the company grow?

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.

Investment in AI does not translate into improved performance.

Data utilization and AI adoption are progressing. However, management and business decision-making remain unchanged, and there is no tangible improvement in performance.

Even with more meetings, decisions are not being made.

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.

Decision-making is confined to specific individuals.

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.

Success/failure does not remain within the organization.

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

Transforming decision-making into an ever-evolving organizational system.

XICA's AI ​​Decision Engine (AIDE) is a system that continuously evolves the decision-making process itself.

AIDE — A comparison of decision-making between conventional and XICA AIDE. Traditional decision-making The "3 Cores" that support the AI ​​Decision Engine Even if DX and AI utilization are promoted, organizations' decision-making processes do not evolve Towards a strong org. where decision-making continues to evolve. OUTCOME INPUT thinking/judgment Data However, the decision remains unchanged. It does not lead to results Individual use of data/AI Thinking The data is ready. The evolving loop of decision-making CORE 03 Decision Intelligence Assetization of org. knowledge CORE 02 Decision Refinement Advanced decision-making CORE 01 Decision Insight Semanticization of Data

CORE 01

Decision Insight

From generic answers obtained by simply handing over the data,
to evidence-based, insightful output.

CORE 02

Decision Refinement

From a discussion with scattered points,
to decisions that align perspectives, based on an understanding of the organizational context.

CORE 03

Decision Intelligence

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

The growth spiral structure enabled by AIDE

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.

XICA Spiral — A business growth spiral Möbius diagram. Three phases — Data Science, Strategy Design, Enablement — abolished around a central AI Platform, traversing four quadrants: Customer, Org DNA, Insight, Business Field. Market MARKET Company BUSINESS Strategy STRATEGY On-site execution EXECUTION Market Insights MARKET INSIGHT Org. DNA COMPANY DNA Customer site CUSTOMER Business site BUSINESS FIELD Build a strategy with confidence. Strategy Design Strategic decision-making Having the right lens to see the world Data Science Elucidation of the mechanism Improving "success" reproducibility Enablement Mechanisms for reinforcing execution A “decision-making infrastructure” that strengthens organizations Decision-making platform XICA*AIP (AI Platform)
Mizkan Group
Seven-Eleven Japan Co., Ltd.
Marugame Seimen
Japan Tobacco Inc.
Mizuho Financial Group
Recruit Co., Ltd.

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, Representative Director and CEO, XICA Co., Ltd.

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.

Takashi Nawa

Visiting Professor, Hitotsubashi University Business School / Senior Advisor, XICA Co., Ltd.

AIDE's Composition

AIDE is a synergy between people and AI platform

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.

AIDE Composition — AIDE = Person × Platform AIDE is comprised of XICA's three human capabilities—data science, consulting, and engineering—multiplied by the AI ​​Platform (Decision Infrastructure). AIDE AI DECISION ENGINE Decision-making engine People PROFESSIONAL SERVICES Data Science · Consulting · Engineering platform AI PLATFORM (AIP) Decision-making platform XICA PEOPLE CAPABILITY DATA SCIENTIST Data scientist CONSULTANT Consultant ENGINEER Engineer XICA*AIP CORE 03 Decision Intelligence Assetization of org. knowledge CORE 02 Decision Refinement Advanced decision-making CORE 01 Decision Insight Semanticization of Data