[Dify Use Cases] Automate Meeting Minutes and Proposals! A Collection of Business Improvement Ideas

The people who know the challenges on the front lines best are those working on the front lines.

Yet, why must we always wait for business improvement tools to be provided by the development department?

Even urgent ideas like "I wish there was a tool like this" are often abandoned when considering the long road until development begins.

The "Dify" introduced here is a platform that fundamentally overturns the common sense of development. You can create the necessary AI apps with the same ease as creating a presentation deck.

By reading this note, you will be able to do the following three things:

1. Through concrete use cases that can be used starting tomorrow, you can think about how to apply them to your own work
2. You will gain risk management and security knowledge to avoid failure, which can also be used for internal approval processes
3. You will have a concrete image of business improvement that goes beyond just "building and finishing"

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What is Dify? A platform that turns generative AI into "business apps"

Dify is an open-source platform that allows you to develop AI applications tailored to your company's business through intuitive operations, even without programming knowledge.

It takes over the complex tasks that were previously performed by the development department, dramatically lowering the hurdle for AI utilization.

At its core is a mechanism called BaaS (Backend-as-a-Service). Users simply design nodes on the screen and link data (knowledge) such as internal documents, and the backend of the AI app is built automatically.

Furthermore, the following two points can be cited as features:

With these, it is possible to balance the speed of the front lines with the control and scalability required by the information systems department, allowing ideas to be shaped quickly and safely.

For those who want to know more about the pros and cons of Dify, please see the following note.

3 Reasons Why Dify is Chosen

Anyone can develop apps with no-code

The reason Dify is chosen for work is largely due to the fact that front-line staff themselves, who know the challenges best, can create AI apps. For front-line needs like "I want a tool like this," you can shape your ideas with just intuitive screen operations.

As a result, it is possible to significantly reduce the time and financial costs that were incurred by outsourcing or coordination between departments.

Secure Use of Internal Knowledge and Audit Logs

You can build a secure AI chatbot in your company's local environment that answers questions based solely on information from internal documents like PDFs and CSVs simply by uploading them.

Because it reduces the risk of confidential or personal information being unintentionally leaked externally or used for AI training,even security-conscious companies can implement it with peace of mind.

Furthermore, depending on the plan, there is also an audit log feature that records "who performed what operation and when." This audit log prevents business processes from becoming black boxes and enables safe, company-wide AI utilization.

Excellent Scalability with LLM and External API Integration

Dify is more than just a chatbot creation tool.With its API functionality that can integrate with external systems, you can also create full-scale business automation toolsas well.

For example, you can realize complex workflows such as integrating with internal Customer Relationship Management (CRM) or Sales Force Automation (SFA) systems to automatically generate proposals or email drafts for specific customers.

[By Department] 10 Concrete Use Cases for Dify

Here, we will organize and introduce 10 concrete use cases to solve challenges faced by various departments. Use cases from other departments might also be applicable to you, so be sure to check them all out.

Company-wide

① Automation and Summarization of Meeting Minutes
Creating meeting minutes after a meeting is a time-consuming and laborious task.

To address this challenge, it is recommended to develop a "Meeting Minutes Creation Tool" that uses AI to identify speakers based on meeting audio or text data and automatically generates minutes summarizing key discussion points, decisions, and to-do lists.developing a "Meeting Minutes Creation Tool"is recommended.

By creating this tool, you candrastically reduce the time spent summarizing meeting minutes.

Marketing Department

② Streamlining Content Production
Continuous content production, such as blog posts and social media updates, requires a lot of time and ideas.

To solve this challenge, build an "AI Writing Assistant" that generates multiple article title ideas and detailed outlines simply by entering keywords or themes.build an "AI Writing Assistant".

With this tool,the time from brainstorming to outline creation is dramatically shortened, allowing staff to focus on writing higher-quality body text, andthe frequency of content distribution can be increased.

③ Mass Generation of Ad Copy
In web advertising, ad copy tends to become repetitive, and many ideas are needed for A/B testing to find effective expressions.

Therefore, it is useful to create a "Catch Copy Generator" that generates dozens of patterns of ad copy from various angles simply by entering product or service features.creating a "Catch Copy Generator" is useful.

You can obtain a wealth of copy ideas in a short time,expand the scope of creative testing, and maximize advertising effectiveness.

Sales Department

④ Personalizing Proposals
Creating proposals tailored to the specific situation of each individual client is often time-consuming.

With Dify, you can create a “Proposal Draft Creation Tool” that automatically generates the optimal proposal structure and text based on information such as the client's industry and challenges.

By creating this, sales representatives can significantly reduce the man-hours required for proposal creation and free up time for high-value activities such as client interaction.

⑤ Analyzing Reasons for Lost Deals
There is a problem where reasons for lost deals tend to remain as subjective reports from individual representatives, making them difficult to analyze as data.

To address this issue, you can develop a “Lost Deal Analysis Tool” that allows AI to read sales reports entered into an SFA and automatically categorize and summarize the reasons for lost deals, enabling the structuring of reasons and data-driven analysis.

This allows for a quantitative understanding of the root causes of lost deals, providing a powerful weapon in the form of objective data to be used for reviewing sales strategies and improving products.

Customer Support Department

⑥ Automating Inquiry Responses
Operators often spend a lot of time on routine inquiries such as “Frequently Asked Questions.”

For routine inquiries, it is recommended to create an “AI Chatbot” trained on internal product manuals and FAQ data and install it on your website.

As a result, you can reduce operator work hours, and since those asking questions can resolve their doubts without waiting, it also leads to improved satisfaction.

⑦ Operator Support
New operators often take time to answer due to a lack of knowledge, and there can be inconsistencies in quality.

To suppress knowledge gaps, it is best to build an “AI Knowledge Search System” exclusively for operators that has been trained on internal manuals and past inquiry history.

By simply entering a question from a customer, they can immediately refer to the information that serves as the basis for the answer, enabling even new employees to provide quick and accurate answers comparable to veterans.

Human Resources and General Affairs Department

⑧ Screening of Job Candidates (Conducting selection, examination, and inspection)
For companies with many applicants, it is necessary to look through a vast number of application documents, and it takes a great deal of time to find promising candidates.

To streamline the screening process, creating an “AI Document Screening Assistant” that scores the match with recruitment requirements and creates a career summary when application documents are uploaded is useful for improving the efficiency of recruitment operations.

The time for document screening will be shortened, and HR personnel will be able to concentrate on core tasks such as interviews.

⑨ Responding to Inquiries Regarding Internal Regulations
General Affairs tends to spend time responding to inquiries regarding internal regulations, such as welfare benefits and expense reimbursement rules.

To streamline this task, you can develop an “Internal Regulations AI Concierge” trained on internal documents such as work rules, and by automating responses to inquiries, you can significantly reduce routine tasks.

Development Department

⑩ Automating Document Creation
In the development department, creating source code specifications and API documentation is a burden on developers, leading to issues such as outdated information and reliance on specific individuals.

To solve this problem, we recommend creating a document generation tool that analyzes function features and arguments by reading the source code to automatically generate draft documentation.

By streamlining knowledge sharing, you can expect an improvement in development efficiency.

In addition to the use cases introduced here, you can create the following tools with Dify:

Corporate Success Stories

Case Study 1: Kakaku.com, Inc.

Kakaku.com, Inc. faced the challenge of increasing development and operational costs associated with promoting the company-wide use of generative AI.

Therefore, they introduced Dify as a company-wide generative AI utilization platform and developed various business applications, such as support for creating store introduction articles for "Tabelog" and automation of product information registration for "Kakaku.com".

As a result, the number of internal chatbot users increased by 27%, and an estimated 18,000 hours of work time are saved annually.

Case Study 2: Link and Motivation Inc.

Link and Motivation Inc. faced the challenge of high hurdles for non-engineer employees to utilize AI in their work while aiming for company-wide productivity improvement.

To address this, they introduced Dify and established an environment where even non-engineer employees could easily develop AI tools, creating a culture where employees create AI applications themselves based on on-site needs.

As a result, over 100 types of AI tools, such as meeting minute summarizers and email drafting tools, were born from the field in just four months, and they have achieved a significant reduction in work time of 9,000 hours per year (40 hours per employee per month).

Case Study 3: Reiwa Travel Inc.

Reiwa Travel Inc. needed to create introduction articles for a vast number of countries and regions—192 in total—for their overseas travel service "NEWT," but there were limits to manual production.

Therefore, we introduced Dify into our article production process to automate content generation.

As a result, we were able to produce comprehensive articles that were previously difficult to create manually, and by mass-producing content that conveys the appeal of our services, we have succeeded in scaling up our business.

If you would like to know the pricing of Dify, which can create tools that achieve such significant business efficiency, please check the following note.

Risks and Countermeasures You Should Know About Dify

Dify is a very convenient tool, but when introducing AI into your business, it is important to understand the risks and take countermeasures. Here, we explain three risks that require special attention and their specific countermeasures.

Information Leakage Risk

Information leakage is one of the concerns when introducing generative AI. Therefore, thorough security measures are required for safe operation.

Adhering to the following 10 items is the best practice for preventing information leakage.

Preparing for Accuracy Degradation Due to Model Updates

While generative AI LLMs are updated regularly, response trends and performance may occasionally change.
Therefore, it is important to prepare an 'evaluation dataset' before implementation and record the expected responses for each important scenario of the application.

When there is an LLM update, perform verification using this dataset in a development environment to check in advance whether there is any impact on accuracy or quality. Apply it to the production environment only after sufficient verification to avoid the risk of accuracy degradation.

Points to Note Regarding Trademarks and Terms of Service

Although Dify is open source, the large language models (LLMs) used have terms of service and restrictions set by each provider.

In particular, if you plan to use generated content commercially or redistribute it, check the terms of service of the LLM and tools you intend to use in advance to understand any prohibitions or points of caution.

Summary: Accelerate Business Reform with Field-Led AI Utilization

Dify is a platform that allows the staff who know the field's challenges best to create 'business tools' to generate solutions with their own hands.

Even small improvement ideas that were previously blocked by the barrier of 'having to request development from a specialized department' can be brought to life using Dify.

Why not start by considering whether the challenges your department faces can be solved with Dify?

The accumulation of small success stories will eventually lead to a major wave of company-wide AI utilization.

The first step to getting started with Dify tomorrow

Through this note, many of you may be thinking,“I understand the potential and convenience of Dify, but I’m not sure how to actually get started...”is that right?

Business reformdoesn't change just by knowing about it; it leads to results only through practice.

From here on, I would like to propose two realistic actions for introducing Dify.

■ First, let's review the basics of Dify
Please take another look at the operation methods and use cases introduced in this article via the explanatory articles on the official WEEL website. We have carefully compiled everything from account creation to AI app construction, complete with images.

■ Aim for it to be "used in the field" rather than stopping at PoC
Dify is packed with tips to ensure you don't just finish by saying "I made it."

Focus on operations that align with on-site challenges and key points for successful adoptionand try taking that first step.

Ifyou feel stuck during practice or want to deepen your knowledge further, please feel free to consult with WEEL.

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