The people who most need operational data are often the least equipped to retrieve it. Analysts write queries; managers wait for reports. The gap between a business question and an answer is measured in days, not seconds.
This project closes that gap: ask a business question in plain English, get a grounded answer from operational data.
What It Does
The Operational Intelligence Interface accepts natural-language questions from non-technical users and returns accurate, source-grounded answers from structured operational data.
Example queries:
- “Why did our on-time delivery rate drop in Q1?”
- “Which vendor has the most outstanding shipment exceptions this month?”
- “What is our current inventory exposure for temperature-sensitive items in transit?”
- “How many cold-chain exceptions required regulatory escalation in the last 90 days?”
The system interprets the intent of each question, constructs the appropriate structured query, executes it against real data, and returns an answer with source attribution.
Why the Numbers Are Trustworthy
The system separates interpretation from calculation. The AI reads the question and determines what data to retrieve — but every number in the answer comes from an actual query against real records, not from the model estimating.
When the system says on-time delivery dropped 12% in March, that figure was computed from the data. This matters because the audience for this tool is operations leadership making decisions. A number that might be wrong is not useful.
When confidence or data quality falls below threshold, the system flags the response for human review rather than returning a potentially unreliable answer.
Relationship to the Portfolio
I am designing this project to work directly with the output of the Data Harmonization Engine. Clean, standardized operational data is the prerequisite for reliable natural-language analytics.
Together, these two projects represent the operational intelligence layer of the portfolio:
Harmonize the data → Query the operation → Advise on strategy
Status
In active development. I am building this as part of the same AI operations portfolio as Komon and Noroshi. A working prototype and live demo will be available shortly.
I will publish this project under a Japanese name reflecting its function in surfacing clear operational insight from complex underlying data.