Enterprise intelligence is a management resource created by organizing the knowledge, data, and judgment criteria scattered across industrial frontlines into a form AI can work with, and connecting it to the decisions of management and the field. The concept is proposed by Itajima & Co., an intelligence trading company.
AI adoption has spread across many companies — meeting summaries, document drafts, customer support. Yet most of it stops at making work faster.
What we focus on is what comes after.
Why frontline knowledge has not yet become an asset
Manufacturing, shipbuilding, metals, equipment maintenance. Japan's industrial sites hold an accumulation of judgment written in no drawing and no manual: why a veteran works in that particular order, why a certain sound signals an anomaly.
Treated as personal intuition, this knowledge has been lost with every retirement.
What is enterprise intelligence — organizing knowledge, connecting it to decisions
Enterprise intelligence refers to the knowledge, data, and judgment criteria scattered across the frontline, organized into a form AI can work with and connected to the decisions of management and the field. Unlike knowledge management, which ends at documenting and storing, it includes the state in which knowledge is actually used in daily judgment.
Where do you start building it
What matters is the order.
- First, decompose frontline knowledge into units of capability — "what can be done"
- Next, convert it into a form AI can search across
- Finally, embed it into daily decision-making
Start from tool adoption, and this order usually inverts — leaving behind systems no one uses.
A question for executives
Where, and inside whom, does the knowledge that drives your competitiveness live? Is it in a form AI can work with?
Itajima & Co. enters industrial sites and begins organizing enterprise intelligence from this question.
Frequently asked questions
How is enterprise intelligence different from knowledge management?
Knowledge management focuses on documenting, storing, and sharing knowledge. Enterprise intelligence goes further: it organizes knowledge so AI can search and match across it, and connects it to the daily decisions of management and the field.
Where should we start?
Not from tools. Start by decomposing frontline knowledge into units of capability, then convert it into a form AI can search, and finally embed it into decision-making. Invert this order and you are left with unused systems.
Who proposed the concept of enterprise intelligence?
Enterprise intelligence is proposed by Itajima & Co., an intelligence trading company, and is being systematized through practice at industrial sites.