From Experience-Driven Operations to Knowledge Sharing and Business Efficiency

Manufacturing companies accumulate a vast amount of business information every day, including product documentation, work instructions, quality standards, and records of past issues. However, when this information is scattered across Excel files, PDFs, folders, and business systems, it can be difficult to quickly find and make effective use of the knowledge needed for daily operations.

A manufacturing company faced a similar challenge as its business expanded. When production or quality issues occurred, employees had to search across multiple systems and historical documents, while some decisions still depended heavily on the experience of senior employees. In addition, issue resolution often involved multiple departments, resulting in significant manual effort for information sharing and progress tracking.

To address these challenges, we leveraged the company’s existing business systems and data environment to implement an AI-powered knowledge assistant combined with workflow automation. By connecting enterprise knowledge with business processes, the solution enables employees to quickly access relevant information and seamlessly move from information retrieval to issue resolution.

PART 01 Customer Challenges

More Information, More Time Spent Finding and Sharing It

As the company expanded its business, the volume of internal information continued to grow, including product documentation, work instructions, quality standards, and records of past issues.

However, this information was scattered across multiple files and systems. When employees needed specific information, they often had to search through documents one by one or ask colleagues for assistance.

For new employees in particular, it was difficult to know which documents to refer to, while experienced employees spent considerable time answering repetitive questions and sharing their knowledge.

When production or quality issues occurred, multiple departments were often involved, from identifying the issue and confirming the cause to assigning and completing corrective actions. Relying on email, Excel, and verbal communication made information fragmented and made it difficult to track the status of each issue.

The company needed more than simply a way to “search for information.” It needed a solution that could make internal knowledge readily available and connect it directly to day-to-day business processes.

PART 02 AI Solution

Quickly Find the Information You Need with an AI-Powered Knowledge Assistant

To address these challenges, we implemented a business support solution combining an AI-powered knowledge assistant with workflow automation.

First, existing business information—including product documentation, work instructions, quality standards, and historical issue records—was organized and categorized to create a centralized enterprise knowledge base.

Instead of manually searching through multiple documents, employees can ask questions using natural language.

For example:

“Have we encountered a similar quality issue with Product XX in the past?”

The AI-powered knowledge assistant searches the enterprise knowledge base for relevant documents and historical cases, then presents the information in an easy-to-understand format.

This enables employees to find the information they need more quickly and use past cases and internal standards as references when addressing issues.

The AI provides answers based on the company’s existing internal knowledge, while employees can review and confirm the information when necessary. This allows AI to support existing business processes without leaving critical decisions entirely to AI.

PART 03 Workflow Integration

From “Answering Questions” to “Getting Work Done”

The solution goes beyond providing AI-generated information by connecting the knowledge assistant to downstream business processes through workflow automation.

For example, when a quality issue occurs, the process can be managed as follows:

Issue identified → Information retrieved by AI → Past cases and standards reviewed → Issue request created → Task assigned → Action and confirmation → Results recorded

By connecting information retrieval with issue resolution in a single workflow, the solution reduces reliance on email and individual communication while making the overall process more efficient.

Managers can easily track the status of ongoing issues, while employees can follow standardized processes to complete their tasks.

Furthermore, the results of completed actions can be added to the knowledge base and reused when similar issues arise in the future.

This creates a continuous knowledge cycle:

Business response → Knowledge accumulation → AI-powered retrieval and utilization → Support for the next business response

In this way, the experience accumulated across the organization can be continuously transformed into reusable business knowledge.

PART 04 System and Data Integration

Bringing AI into Existing Business Processes

Alongside AI implementation, we leverage the company’s existing IT environment to organize data scattered across business systems, Excel files, and various documents, creating a centralized enterprise knowledge base.

By connecting the AI-powered knowledge assistant with existing business systems and workflows, employees can seamlessly move from information retrieval to issue handling, task assignment, and result confirmation.

Role-based access controls and human review processes are also implemented to ensure that AI usage meets actual business requirements. By making effective use of existing systems and data, the company can gradually advance the intelligent transformation of its business operations.

PART 05 Results

Reducing Reliance on Individual Experience and Continuously Utilizing Enterprise Knowledge

With the AI-powered knowledge assistant, employees can find internal documents and historical cases more quickly, reducing the time spent searching for information or repeatedly consulting experienced employees.

Workflow automation also enables issues and task progress to be managed centrally, making the process from issue identification to resolution clearer and easier to track.

More importantly, knowledge that was previously scattered across individual experience and historical documents can be accumulated and utilized as a shared enterprise asset.

Rather than simply introducing an AI tool, the project focuses on digitizing knowledge management and business processes and creating an environment where the company can continuously utilize the knowledge it has accumulated.

AI does not need to be applied to every business process at once.

For manufacturing companies, it can be more effective to start with areas that have clear business challenges and frequent occurrences, such as quality management, production issues, equipment maintenance, and technical support. The scope of AI utilization can then be gradually expanded based on the results of each implementation.

We provide comprehensive support based on each company’s business processes, data environment, and existing systems—from business requirement analysis and knowledge base development to AI implementation and integration with business systems and workflows.

Rather than limiting AI to a tool that simply “answers questions,” we connect enterprise knowledge with business processes to reduce reliance on individual experience, improve operational efficiency, and enable the continuous utilization of organizational knowledge.