01
Relevant situation 1
Businesses that have already captured founder know-how, or already have SOPs, FAQs, or product manuals in writing
KNOWLEDGE RETRIEVAL CAPABILITY
Give AI your company's own data to answer from
A generic AI tool answers from general knowledge on the internet — it doesn't know your customers, your products, or your pricing logic. This service turns your company-specific rules and data into a knowledge base AI can search and cite.
ROLE OF THIS PAGE
A supporting capability, not another top-level scenario.
This capability focuses on organized sources, retrieval, and grounded answers. It does not guarantee zero errors or replace content ownership and access control.
02
Relevant situation 2
Businesses that want an AI agent or LINE customer service, but need answers grounded in real company data, not AI improvisation
03
Relevant situation 3
Customer service and sales teams that field the same repeat questions and need a shared internal reference
PROBLEM & APPROACH
The knowledge base module of the AI work system: AI answers by your company's own rules, with real data behind every answer
The most common failure when plugging AI straight into a business is answers that sound fluent but are wrong. Without company data, AI can only patch together generic knowledge — it looks like an answer, but it can mislead customers or staff. This service makes sure AI looks up your real data before it answers. We organize your existing or newly captured SOPs, FAQs, product information, and service scripts into an AI knowledge base. When an employee or customer asks a question, the AI system first retrieves relevant content, then generates an answer grounded in what it found — not just relying on the model's general training.
RELATIONSHIP TO THE WORK SCENARIO
Knowledge & Employee Training
Make company experience searchable, teachable, and maintainable.
Capability role
Building on the captured experience and data, this is the foundation that lets your AI customer / sales agent and AI workflow actually get answers right. Without this knowledge base, an agent is just a conversational interface with no memory.
Scope boundary
This capability focuses on organized sources, retrieval, and grounded answers. It does not guarantee zero errors or replace content ownership and access control.
Human responsibility
People remain responsible for approved sources, access, exceptions, commitments, acceptance, and ongoing maintenance.
QUESTIONS BEFORE YOU BEGIN
Clarify fit, limits, and responsibility.
How is this different from a normal FAQ page?
An FAQ page is a fixed list of Q&As — users have to find the matching question themselves. A knowledge base lets AI first understand the intent behind a question, then retrieve the most relevant content, handling phrasing that wasn't pre-written.
Our data volume is small — is it still worth building?
Yes. What matters isn't volume, but whether the data covers the questions you're actually asked most and need to answer accurately.
How does the knowledge base stay updated as our data changes?
We plan a maintenance cadence based on how often your data changes, so content stays aligned with reality.
Is our data safe — could it leak?
Before implementation, we discuss access permissions and storage based on data sensitivity. For highly sensitive data, we define upfront what AI can and can't read.
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