In decision-making,
Data science.
Based on data, make decisions with conviction.
Turn victory into an asset for your organization.
Investment allocation, pricing and promotion, customer retention, and brand selection.
These decisions have been supported by data.
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
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.
Why was that decision reached? Only those who were there can explain. Every time someone is transferred, the same discussion starts all over again.
Success/failure does not remain within the organization.
It worked. But I can't explain why it worked. I also don't know if I can use the same trick again.
AI has transformed the workplace, but decision-making processes remain unchanged.
Many initiatives begin with a single decision within a single area of responsibility.
The scope of decision-making expands along with the results achieved, extending from the business unit to the entire company.
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.
CORE 01
Decision Insight
From generic answers obtained by simply handing over the data,
Towards evidence-based, insightful suggestions.
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
When decision-making continues to evolve, growth becomes structure.
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 all the 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.
How to Get Started
The evolution of decision-making begins with a single question.
Most endeavors begin with a single question: the question you most want to answer right now, and the data you have at hand. That's all you need to take the first step.
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One area of responsibility
We're keeping track of the numbers.
I can't explain why that happened. -
Business Division
The situation differs from brand to brand.
As a business unit, we haven't decided where to allocate our management resources. -
Company
The market and conditions differ for each business.
The entire company cannot be compared using the same yardstick.
No matter what scope you start with, the starting point remains the same.
CORE 01 — The starting point for consultation
The first step is,
Starting with elucidating the mechanism.
What is working, and what isn't?
Where does the structure lie, and where does chance lie?
If you can answer these questions, you can explain the reasoning behind your judgment, along with the evidence. Judgments based on experience and intuition have a shared basis.
Once you understand the mechanisms of the business, the available options and those you should forgo begin to take shape.
Entry Points
- Where to invest?
- Why is it chosen?
- Which customers will grow?
- What generates profit?
- What's coming next?
Each of these will be completed as a standalone project.
Whether to expand it to the business unit or the entire organization will be decided after seeing the results.
To spread it out,CORE 02・CORE 03Connecting to...
Insights
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