03 · Enterprise Knowledge Intelligence

Knowledge Intelligence

SHEPHARD helps companies systematically organize their internal knowledge, using knowledge management and AI to make accumulated information easier to find, understand and use.

Why it matters

A company's most valuable experience often lives in just a few people's heads.

Over years of operation, companies build up a great deal of knowledge. It may sit in business documents, contracts, operating manuals, past orders, employee experience, internal policies and all kinds of business records.

But when knowledge is scattered across systems and individuals, it is hard for a company to make full use of it. Employees may search for the same materials again and again, keep asking colleagues and rely on personal experience to solve problems. And as people leave, important business knowledge can leave with them.

Does this sound like your company?

New employees keep asking the same questions, and experienced staff are interrupted so often they can't get their work done
Finding a contract or an operating manual means digging through several folders
Customers get different answers to the same question depending on who they ask
When a senior employee leaves, no one knows how to do many things anymore

Until knowledge is organized, a company spends time every day “finding the answer again”.

What we offer

01 · Knowledge Assessment
Knowledge mapping
Identify the knowledge the company has already built up, and understand its sources, types and uses.
- Enterprise knowledge inventory
- Organization of internal documents and business materials
- Review of company policies and operating procedures
- Identification of business expertise
- Knowledge needs analysis
02 · Knowledge Base Development
Enterprise knowledge base
Classify, organize and structure knowledge from different sources into a unified knowledge management system.
- Document knowledge base
- Business knowledge base
- Product and service knowledge base
- Internal policy knowledge base
- Historical business records management
03 · Intelligent Knowledge Retrieval
Intelligent knowledge search
Use AI so employees can query internal knowledge in natural language and quickly find what they need.
- Natural language knowledge queries
- Intelligent internal search
- Multi-document information retrieval
- Knowledge linking and information extraction
- Intelligent Q&A system
04 · Knowledge-driven Applications
Knowledge in practice
Embed company knowledge in real business scenarios, so it is not just stored but actively helps employees get their work done.
- Intelligent business advisory
- Employee knowledge assistant
- Business procedure lookup
- Reference to past cases
- Operational assistance

How we work

How a project unfolds

First identify the knowledge used most often, then organize it, load it into the knowledge base and connect AI, so employees can use it directly in their work.

01Weeks 1–2
Knowledge inventory
We interview each department to find the most frequently asked questions, the most frequently consulted documents, and the expertise held by only a few people.
Deliverables
- Knowledge resource inventory
- Frequently asked questions list
02Weeks 3–4
Organization and structuring
We organize scattered documents, policies and know-how into a unified structure, fill in missing content and flag outdated information.
Deliverables
- Knowledge taxonomy
- Organized knowledge base content
03Weeks 5–7
Intelligent search goes live
We set up the enterprise knowledge base and AI Q&A: employees ask questions in everyday language, and the system answers with the original source attached.
Deliverables
- Enterprise knowledge base system
- AI Q&A assistant
04From week 8
Use and updates
We connect knowledge to specific scenarios such as customer service, sales and training, and set up content update and access management processes.
Deliverables
- Knowledge maintenance process
- Usage report

The value for your business

What changes afterwards

01
Less time spent finding and organizing information.
02
Less over-reliance on individual experience.
03
More efficient sharing and reuse of company knowledge.
04
Less knowledge lost to staff turnover.
05
Accumulated experience that keeps creating value.

Typical scenarios

The following scenarios are based on situations we commonly see in companies and illustrate the kinds of problems this service can solve.

Professional and business services
One question, a different answer from every consultant
BeforeProject experience is scattered across individual laptops, new consultants have to ask around when they hit a problem, and replies to clients are inconsistent.
AfterPast proposals and standard answers are organized in the knowledge base: consultants ask a question and find references, with the source project noted.
Manufacturing and production
When equipment breaks down, only the veteran technician can fix it
BeforeTroubleshooting know-how is passed on by word of mouth, and when the veteran technician is on leave, even a small issue can stop the production line.
AfterMaintenance records and repair steps are organized into a knowledge base, and on-site staff can look up solutions on their phones.
Wholesale and distribution
Sales keeps asking about product specs and policies
BeforeProduct specifications, pricing policies and after-sales rules are spread across multiple files, and the sales team asks the office the same questions every day.
AfterAn AI assistant answers product and policy questions directly, with the latest documents attached, and the office is no longer interrupted by the same questions.