[2026 Edition]Top 9 Recommended AI Chatbot Development Companies: Cost Guides and How to Choose the Right Partner

Driven by the push for Digital Transformation (DX) and severe labor shortages, more companies are adopting AI chatbots to automate customer service and streamline web interactions. While many businesses are considering implementing chatbots to improve operational efficiency and boost sales, web managers often share concerns such as:

“There are too many development companies, and I don’t know which one fits our needs.”
“The differences in features and costs are too complex, making it hard to compare.”
To address this, professionals with deep expertise in web production and system development have carefully selected the top 9 recommended AI chatbot development companies for the 2026 edition. This article doesn’t just list companies; it comprehensively explains how to choose a partner based on specific goals (like “Sales Focus” or “Security Focus”), realistic cost estimates by type, and essential tips to avoid common implementation failures. Please use this guide as a vital resource to find the optimal partner that matches your company’s challenges and budget, ensuring a successful chatbot deployment.

What is an AI Chatbot?

An AI chatbot is a system that utilizes artificial intelligence (AI) natural language processing and generative technologies to automatically conduct natural, human-like conversations.
Unlike traditional “scenario-based (rule-based)” chatbots, its major feature is the ability to understand context and provide flexible responses.
Because of this, AI chatbots are no longer viewed merely as tools to reduce operational workloads. They are now recognized as strategic assets for creating value across entire corporate activities—improving Customer Experience (CX) and driving purchases and inquiries.

Why are AI Chatbots Being Widely Adopted Now?

The background of this expanding adoption has two aspects: technological evolution and social changes.

Technological Evolution
As you have likely noticed in daily life, the accuracy of generative AI and natural language processing has improved exponentially, leading to a dramatic leap in chatbot quality. As a result, AI chatbots have moved beyond simple inquiry handling. They now provide high-quality, 24/7 web customer service that enhances the customer experience, promotes purchases and inquiries, and solves labor shortage issues, expanding their adoption as an asset that benefits all corporate activities.

Social Changes
In the last few years, the way companies and society approach “workstyles” and “customer service” has fundamentally changed. Labor shortages, the spread of remote work, and the shift to online customer service have created a need for systems that allow limited staff to operate efficiently. Additionally, consumer expectations have also shifted. With smartphones making “getting an instant answer” the norm, the frustration of waiting has become stronger than ever before. As these changes in user experience—which prioritize speed and convenience—have become prominent, companies are being forced to respond. This background is also considered a tailwind for the spread of AI chatbots.

AI Chatbot Development Companies are Broadly Classified into 3 Types

Next, to avoid failing in your choice of a development company, let’s look at the “classification of development companies” you need to understand.

AI chatbot development companies are mainly classified into the following three types:

1. Sales Improvement & Branding Focus
2. Robustness & Security Focus
3. Low Cost & Speed Focus

Category	Features
Sales Improvement & Branding Focus	Excels at development aimed at increasing inquiries/purchases and maintaining brand image.
Robustness & Security Focus	Excels at providing the high safety required by financial institutions or government agencies, and complex integrations with core systems.
Low Cost & Speed Focus	Excels at balancing speed and affordability, often by providing complete, ready-to-use package products.

To ensure you don’t fail in choosing a development company, it is crucial to identify each company’s “area of expertise.” Always verify this by aligning it with your own company’s objectives.

Sales Improvement & Branding Focus

Rather than just providing a Q&A tool, this type excels at driving inquiries and purchases through user conversation, and maintaining brand image via strategic tone of voice and UI design.

Features & Merits

• Delivers sophisticated design that aligns with the website’s worldview.
• Strong at strategic conversation design (e.g., “When and how should we speak to the user to drive a conversion (CV)?”).
• Skilled at implementing measures to prevent user drop-off and increase page views and customer satisfaction.

Recommended For

• Companies wanting to boost sales and acquire CVs, not just handle inquiries.
• Businesses that highly value their brand image.
• E-commerce sites, D2C brands (brands selling directly to consumers), and service websites.

Robustness & Security Focus

This category prioritizes data safety and complex integration with existing systems over visual flair or simple usability. Major System Integrators (SIers) often fall into this group.

Features & Merits

• Capable of high-security development compliant with strict standards like ISMS and PrivacyMark.
• Strong at executing complex, large-scale integrations with core systems and customer databases.
• Extensive track record with financial institutions and government agencies.

Recommended For

• Companies handling personal or highly confidential information that need to minimize security risks.
• Businesses needing deep integration with unique internal systems.
• Financial sectors, infrastructure providers, government agencies, and large enterprises.

Low Cost & Speed Focus

This type balances speed and affordability by introducing “completed package products.”

Features & Merits

• Low development hours keep initial costs down to roughly tens of thousands to hundreds of thousands of yen.
• Short lead time from contract to deployment, allowing for immediate use.
• Features are often fixed, but they work perfectly well for standard FAQ purposes.

Recommended For

• Companies wanting to start small without a large budget.
• Those needing a rapid deployment without complex features.
• Internal help desks, startups, and small-to-medium enterprises (SMEs).

4 Key Points for Choosing the Right AI Chatbot Development Company

To evaluate companies efficiently, let’s look at the four essential evaluation points that serve as the “axis of evaluation” for choosing a company.

1. What is the company’s area of expertise?
2. How broad is their service scope?
3. Do they have a track record of solving similar challenges?
4. Can they propose solutions that address core business issues?

What is the Company’s Area of Expertise?

As mentioned, development companies specialize in areas like “Sales Improvement,” “Security,” or “Low Cost.”

First, it is important to confirm whether “what your company wants to achieve with the AI chatbot” aligns with the “company’s strengths.”

Your Challenge	Recommended Company Type
Marketing issues (Sales, lead generation)	Web production or digital marketing companies
Operational/Management issues (Security, system integration)	Companies strong in system development and infrastructure

Always check if your company’s goals match the vendor’s core business like this.

How Broad is Their Service Scope?

AI chatbot development can also be broadly divided into two types: the “Tool Vendor Type,” which mainly provides the tool, and the “Hands-on Support Type,” which supports everything from post-implementation operations to solving business challenges.

For AI chatbots, “nurturing your custom AI” by analyzing conversation logs post-launch is indispensable.

If your internal resources are limited, it is recommended to request a professional up to the operation phase:

• You want help from the creation and organization of FAQ data.
• You want to entrust the improvement of response accuracy after implementation.

In these cases, we recommend choosing a company with extensive post-launch operational support.
Make sure to clarify exactly “what they will do within the scope of the estimate” before signing a contract.

Do They Have a Track Record of Solving Similar Challenges?

When checking the track record, it is important to look not just for “examples from competitors in the same industry,” but from the perspective of “Do they have a track record of solving the exact same problem as our company?”

For example, even within the same “Real Estate Industry”:

• “We want to improve the convenience of property searches.”
• “We want to automate the handling of complaints from residents.”

The features and conversational scenario designs required for each of these challenges are entirely different.

Make sure to confirm “what kind of challenge” they faced and “how they approached and solved it.” When choosing a company, do not judge solely by the number of track records, but also check specific case studies.

A company that has success stories close to your company’s goals, such as:

• “Improved CVR by 120%”
• “Reduced phone inquiries by 40%”

can be judged as highly likely to provide a highly reproducible proposal.

Can They Propose Solutions That Address Core Business Issues?

An excellent development company is one that makes proposals with the goal of “solving the client’s business problems” rather than just “introducing an AI chatbot.”

During the hearing phase, whether they can make fundamental proposals that include options other than tool introduction, such as, “Given your company’s challenges, fixing your FAQ page is the priority before a chatbot,” is a very important point in identifying a reliable partner.

Also, be sure to check the methods for verifying effectiveness post-launch. Caution is required if only vague evaluation metrics are established. If the “KGI/KPI” design is concrete, you can rest assured about post-launch effectiveness verification. A company that works with you to design business performance metrics—such as “user problem resolution rate,” “transition rate to human operators,” and “number of conversions contributed”—in addition to technical metrics like “AI response accuracy,” will make it easier to verify effectiveness after introduction, increasing the likelihood of effective support for solving business challenges.

[2026 Edition] Recommended AI Chatbot Development Companies Comparison Table

Below is a summary table of the 9 recommended AI chatbot development companies featured in this article. Use this to quickly compare their features, estimated costs, and areas of expertise to help you choose a company.

Company Name	Key Features & Strengths	Estimated Cost	Location
COOSY Inc.	・Design capabilities unique to a web production agency ・PDCA operational support ・Strategic design tied to business outcomes	Contact for quote	Shibuya-ku, Tokyo
Helpfeel Inc.	・Streamlines submissions/applications via in-chat forms ・Segregates answers based on reliability ・Best of both FAQs and chatbots	Contact for quote	Kyoto City, Kyoto
Algoage Inc.	・Zero-risk performance-based pricing ・Converts dropping-off users to CVs ・UI designed to maximize input completion	Performance-based	Bunkyo-ku, Tokyo
NTT DOCOMO BUSINESS, Inc.	・Proprietary analysis engine ・Carrier-grade, robust security ・Real-time translation for global support	・Web Plan: From ¥50,000/mo ・Doc Plan: ¥80,000/mo ・Regular: From ¥500,000/mo	Chiyoda-ku, Tokyo
Systena Corporation	・SIer-level system integration ・Neutral tool selection ・One-stop support from intro to adoption	Contact for quote	Minato-ku, Tokyo
PISE CORPORATION	・One-stop from infrastructure to apps ・Advanced LINE integration ・Integration with complex business systems	Contact for quote	Minato-ku, Tokyo
Walkers Inc.	・Slack × Generative AI integration ・Ultra-fast development (min. 1 day) ・Secure internal-only environments	Contact for quote (Low cost available)	Bunkyo-ku, Tokyo
Cloud CIRCUS, Inc.	・Smart AI from day one ・FAQ preparation support ・Hands-on operational support	Contact for quote	Chuo-ku, Tokyo
DS BRAND Co., Ltd.	・Multiple bots per license ・Powerful integration with “AI Search” ・Support from web production pros	・Initial: ¥600,000 ・Monthly: From ¥150,000	Minato-ku, Tokyo

(Note: Data based on research as of February 2026)

[Sales Improvement & Branding Focus] Top 3 Recommended Companies

From here, we will introduce 3 recommended AI chatbot development companies for each classification.
First are the companies recommended for businesses prioritizing CVR improvement and brand image enhancement through customer service. They feature strong marketing strategies and support the introduction of “aggressive,” profit-generating chatbots.

COOSY Inc.

Key Strengths:

• Agency-Level Design
  • Provides refined UI/UX design that does not spoil the site’s tone and manner. UI customization matching your company’s unique tone is possible.
• PDCA Operational Support
  • Offers marketing-focused hands-on support, from extracting “off-target / unanswered” questions through post-launch log analysis to making improvements.
• Comprehensive Strategic Design Tied to Business Outcomes
  • Goes beyond simple installation to provide comprehensive support directly linked to business results, such as scenario design aimed at preventing drop-offs and inducing CVs, improving site-wide navigation, and form improvements.

Coosy is a company that excels at chatbot development utilizing the “design capabilities” and “understanding of user psychology” that are the strengths of a web production company.
Their proprietary AI chatbot “Kaiwable” can learn simply by reading existing FAQ data or site info. Furthermore, leveraging their web production expertise, they strategically implement features to maximize marketing outcomes, such as “voice-overs” tailored to user behavior on the site and pathway design leading to conversions.
Recommended for companies wanting to utilize a chatbot as a crucial piece in building a “website that sells,” rather than just an automation tool.

Item	Details
Company Name	COOSY Inc.
Cost Estimate	Contact for quote
Service URL	https://coosy.co.jp/ https://coosy.co.jp/product/kaiwable/
Location	Shibuya-ku, Tokyo

Please check the company’s official website for the latest information.

Helpfeel Inc.

Key Strengths:

• Direct Form Submission in Chat
  • Displays reservation forms or purchase buttons directly within the chat. Eliminates user drop-off caused by page transitions, leading directly to conversions on the spot.
• Strict Anti-Hallucination Measures
  • To prevent hallucinations (a weakness of generative AI), it displays a “Reliable Answer” icon for responses based on specific FAQs, providing users with peace of mind.
• Patented “Intent Prediction Search”
  • Combines generative AI with their unique patented “Intent Prediction Search” technology to instantly and accurately derive answers, even from vague questions.

Helpfeel’s “Agent Mode” integrates the flexibility of generative AI with the accuracy of an FAQ system.
Its standout feature is presenting actions like applications or reservations directly in the chat screen. By eliminating the hassle of page transitions, it prevents user drop-off and smoothly connects them to conversions within the flow of conversation.
It is ideal for companies wanting to realize high-quality web customer service while protecting brand reliability.

Item	Details
Company Name	Helpfeel Inc.
Cost Estimate	Contact for quote
Service URL	https://www.helpfeel.com/agent-mode
Location	Kamigyo-ku, Kyoto

Please check the company’s official website for the latest information.

Algoage Inc.

Key Strengths:

• Zero-Risk Performance-Based Pricing
  • No initial or fixed monthly fees. Costs are incurred only when a “Conversion (CV)” occurs, allowing you to aim for sales growth while keeping implementation risks low.
• Converting Drop-offs to CVs
  • Detects movements of users trying to leave the LP and displays a pop-up. It pushes for purchases through chat customer service and prevents lost opportunities.
• High Completion Rate UI
  • Transforms tedious form inputs into a crisp, LINE-style conversation UI. Eliminates user stress and drastically improves cart abandonment.

Algoage (a DMM Group company) provides “DMM Chatboost CV,” which, as the name suggests, is a performance-based chatbot specialized in conversions.
Its biggest feature is that there are no fixed costs like system usage fees, and no costs are incurred unless results are achieved. It automates the “final push” for users right before they leave, addressing the challenge of “We get traffic to the LP, but it doesn’t lead to purchases.”
Recommended for companies wanting to realize CVR improvements without using internal resources, as everything from scenario creation to operational improvement can be entrusted to them.

Item	Details
Company Name	Algoage Inc.
Cost Estimate	Performance-based
Service URL	https://chatboost.dmm.com/cv/
Location	Bunkyo-ku, Tokyo

Please check the company’s official website for the latest information.

[Robustness & Security Focus] Top 3 Recommended Companies

Next are recommendations for enterprises with strict security standards, such as financial institutions, government agencies, and large corporations. They flexibly respond not only to advanced security measures but also to technical requests from the infrastructure side, such as construction in on-premise environments.

NTT DOCOMO BUSINESS, Inc.

Key Strengths:

• Proprietary Analysis Engine
  • Utilizing the Japanese analysis engine cultivated over many years by the NTT Group, it accurately grasps intent and answers even vague questions from users using conversational language.
• Carrier-Grade Robust Security
  • In addition to a highly secure cloud platform adopted by financial institutions and government agencies, it offers rock-solid safety that can also be used via VPN.
• Real-time Translation Supporting Global Ops
  • Equipped with advanced translation functions supporting up to 13 languages, powerfully supporting responses to foreign customers and help desk operations at overseas bases.

“COTOHA Chat & FAQ” provided by NTT DOCOMO BUSINESS (formerly NTT Communications) is an AI chatbot combining solid “technical capability” and “infrastructure foundation.”
Its biggest feature is not just the functions of the service itself, but the high reliability as a telecommunications infrastructure company. The environment capable of clearing strict security standards essential for companies handling critical data, and the stability to continue business even in the unlikely event of a disaster, are major strengths not found in other companies.
Particularly recommended for large enterprises and industries with heavy social responsibilities looking for a partner they can use safely over the long term.

Item	Details
Company Name	NTT DOCOMO BUSINESS, Inc.
Cost Estimate	Web Plan: From ¥50,000/mo.
Service URL	https://www.ntt.com/business/services/application/ai/cotoha-cf.html
Location	Chiyoda-ku, Tokyo

Please check the company’s official website for the latest information.

Systena Corporation

Key Strengths:

• SIer-Level System Integration
  • Leveraging knowledge as an SIer, it links chatbots with RPA to comprehensively support corporate DX.
• Neutral Tool Selection
  • A flexible style of selecting and building the optimal product for the client’s challenges from multiple tools, rather than selling a specific proprietary package.
• One-Stop Support from Intro to Adoption
  • One-stop support not only for system development but also for the tedious preparation of FAQ data and post-implementation operation and maintenance.

Systena Corporation is an independent SIer listed on the TSE Prime Market with an extensive track record in developing financial and social infrastructure systems.
Its biggest feature is the ability to propose solutions for overall business operations, rather than ending with just “the chatbot itself.”
They realize complex requests like “We want to link with RPA to automate office work” or “We want to integrate with a massive internal manual search system” by combining optimal AI engines and tools.
They solve the challenges of companies whose needs cannot be met by specific package products, or who want to customize according to their own security standards and environment, with solid technical capabilities.

Item	Details
Company Name	Systena Corporation
Cost Estimate	Contact for quote
Service URL	https://www.systena-itlink.jp/service/gengoai
Location	Minato-ku, Tokyo

Please check the company’s official website for the latest information.

PISE CORPORATION

Key Strengths:

• One-Stop from Infrastructure to App
  • Technical capability to comprehensively handle not just chatbot development, but the server construction and network security that form its foundation.
• Advanced LINE Integration
  • Features development that evolves official LINE accounts into advanced CRM tools, beyond mere auto-replies, such as member ID linking and segmented delivery.
• Complex Business System Integration
  • Deeply integrates with existing customer databases and EC systems to realize unique business requirements, like “campaigns utilizing purchase history” and “message delivery linked with the EC site.”

For over 30 years since its founding, PISE CORPORATION has handled core system development for government agencies and major corporations.
Its biggest feature is the ability to build a chatbot not as a “standalone tool,” but as a “part of a business system.”
Under a robust security system that has acquired ISMS and PrivacyMark, they support corporate DX with the “comprehensive strength” unique to a system development company, such as safely linking with customer databases and designing infrastructure capable of withstanding massive communication volumes.
They are the optimal partner for companies with challenges like “Package products cannot accommodate our unique business flows” or “Security requirements are strict, and design is needed from the infrastructure level.”

Item	Details
Company Name	PISE CORPORATION
Cost Estimate	Contact for quote
Service URL	https://www.pise.co.jp/service/chatbot/
Location	Minato-ku, Tokyo

Please check the company’s official website for the latest information.

[Low Cost & Speed Focus] Top 3 Recommended Companies

Finally, here are recommendations for companies that want to try starting at a low cost. By utilizing packages and low-code development, they keep initial costs down and provide speedy development where deployment can be completed in as little as a few days.

Walkers Inc.

Key Strengths:

• Slack × Generative AI Integration
  • Builds chatbots that allow the use of ChatGPT and others on the familiar Slack platform. Eliminates the hassle of logging in and promotes internal AI utilization.
• Ultra-Fast Development (min. 1 day)
  • Utilizes the AI development platform “Dify” to provide solutions at an overwhelming speed of a minimum of 1 day.
• Secure Internal-Only Environment
  • By using API integration instead of the web version, it achieves a setting where conversation data is not used for AI training. Internal information can be handled safely.

Walkers Inc. primarily develops AI chatbots for internal use and has strengths in “no-code/low-code development.”
Its biggest feature is the “overwhelming cheapness and speed” achieved by combining existing excellent tools rather than building from scratch.
In AI chatbot development, they excel at linking internal chat tools like Slack with generative AI, solving the challenge of “Employees won’t use a new app even if we introduce it.”
They are an extremely reliable partner for companies thinking “We want to verify with a small start first” or “Budgets are tight, but we want a secure AI environment to handle internal data.”

Item	Details
Company Name	Walkers Inc.
Cost Estimate	Contact for quote (Low cost available)
Service URL	https://walker-s.co.jp/ai-support/
Location	Bunkyo-ku, Tokyo

Please check the company’s official website for the latest information.

Cloud CIRCUS, Inc.

Key Strengths:

• Start Generative AI for Free
  • Prepared a free plan for companies looking to “just try it out first.” Paid plans also achieve industry-leading cost performance, starting from tens of thousands of yen per month.
• Just Register URLs/PDFs
  • The generative AI automatically learns and completes the chatbot just by registering manuals or website URLs. Overwhelming simplicity, ready to publish in as little as 3 minutes.
• Marketing Tool Integration
  • Seamlessly integrates with the rich suite of marketing tools provided by the company, such as the MA tool “BowNow,” to provide comprehensive support from lead generation to customer management.

Cloud CIRCUS, Inc. is a company developing the digital marketing SaaS “Cloud CIRCUS,” which has a track record of over 50,000 implementations.
Its biggest feature is providing high-performance tools at low prices under the concept of “tools anyone can master.”
The AI chatbot “IZANAI” is also designed to be easily introduced without specialized knowledge, and has achieved many results not just as an inquiry handling tool, but as a customer service tool aimed at improving website conversion rates.
It responds to the ambitious needs of “The budget is limited, but we also want to achieve marketing results.”

Item	Details
Company Name	Cloud CIRCUS, Inc.
Cost Estimate	Free plan available (Paid plans from approx. ¥10,000s/mo)
Service URL	https://cloudcircus.jp/
Location	Shinjuku-ku, Tokyo

Please check the company’s official website for the latest information.

DS BRAND Co., Ltd.

Key Strengths:

• Low Price of ¥0 Initial / ¥5,500 Monthly
  • Despite being equipped with generative AI, there is no initial fee, and it is available starting from the ¥5,000 range per month.
• Reliable “Ask by Phone” Support
  • Standard telephone support, which is rare for IT tools. Even those who are not good at reading manuals can set it up while consulting with an operator.
• Auto-Learning Just by Inputting URLs
  • Complex scenario creation is completely unnecessary. The AI automatically learns and completes the chatbot just by registering your company website’s URL or PDF documents.

DS BRAND Co., Ltd. is an IT company that has supported the web utilization of SMEs nationwide for over 20 years.
Its biggest features are the “absolute simplicity” that even companies without IT experts can master, and its “support system.”
Similarly to their flagship CMS, “Orikou Blog”, “DS Chatbot” was developed under the concept of “anyone can easily use it,” requiring absolutely no specialized knowledge.
Also, while many companies only provide email or chat support, this company emphasizes “telephone support,” earning great trust because even staff anxious about digitalization can continue operations with peace of mind.

Item	Details
Company Name	DS BRAND Co., Ltd.
Cost Estimate	From ¥5,500/month (Initial fee ¥0)
Service URL	https://dschatbot.ai/
Location	Nagasaki City, Nagasaki

Please check the company’s official website for the latest information.

AI Chatbot Cost Estimates and Calculation Methods

The implementation costs for AI chatbots vary extremely widely, from those usable for thousands of yen a month to large-scale ones costing millions of yen. Therefore, make sure to first understand the market rates matched to the functional level your company requires.

[By Type] Initial and Monthly Cost Estimates

AI chatbots can be broadly classified into three price brackets depending on their delivery format and customizability.

Type	Target	Initial Cost	Monthly Cost	Key Characteristics
Cloud (SaaS)	Small Start	¥0 to ¥100,000	¥10,000 to ¥50,000	・Utilizes templates for cheap deployment. ・AI learning capabilities and customizability are limited.
Cloud (High-Performance AI)	Full Operation / Marketing Support	¥500,000 to ¥1,000,000	¥100,000 to ¥500,000	・Equipped with advanced natural language processing and generative AI. ・Often includes external integrations and introduction/operation support by consultants.
On-Premise / Development Type	High Security / Custom Specs	¥3,000,000+	Hundreds of thousands of yen	・Fully bespoke development for building servers in-house or meeting bank-level security requirements.

What Causes Costs to Fluctuate?

Even within the same “Cloud Type,” quote amounts can vary by multiples. This is primarily because the required man-hours change. Man-hours are determined by the following four elements:

Element	Level of Support
Integration Complexity	・Linking with inventory management systems or CRMs to answer questions like “Where is the item I ordered?” increases development man-hours and costs.
AI Training Data Volume	・For example, the initial costs for data preparation vary depending on whether the initial Q&A to be taught to the AI is “50 items” or “1,000 items.”
Design / Customization	・Additional costs occur when animating your company’s brand character or building custom UI (like button placements) instead of using existing templates.
Level of Support	・Monthly costs vary greatly depending on whether you outsource post-launch “analysis reports” and “AI tuning” to the development company or handle them internally.

[Industry-Specific] AI Chatbot Case Studies

From here, we will carefully select and introduce case studies of companies that have actually introduced AI chatbots and succeeded in streamlining operations and improving customer experience. By looking at usage methods by industry, it is good to gradually clarify the usage image for your own company.

[Real Estate] Nomura Real Estate Solutions

Lowering psychological barriers to answer the need “I haven’t seriously considered it yet, but I want to consult”

The “Nomucom AI Advisor” provided by Nomura Real Estate Solutions resolves the psychological hurdle users feel when considering buying or selling real estate: “I feel hesitant to talk to a sales rep when it’s not concrete yet.” It advises not only on property searches but also on appraisal simulations and the flow of selling for those considering selling. Users can check asset values and market prices at their own pace, and the company achieves highly efficient sales activities with high closing rates by handing over only “highly serious consultations” that the AI cannot handle to specialized staff.

[Hotel] Hotel New Station

AI absorbs “minor questions,” allowing the front desk to focus on hospitality At Hotel

New Station in front of Nagano Station, an AI chatbot supports guests 24 hours a day. Users can freely ask detailed questions that don’t warrant a phone call, such as “Where is the parking lot?” or “What time is breakfast?”, without worrying about the time via chat. By increasing the user’s self-resolution rate, the operational burden of phone support is reduced for the hotel, creating an environment where front desk staff can focus on the “warm, face-to-face hospitality” they should truly be focusing on.

[Education] Kindai University

Easing applicant anxiety while simultaneously preventing operational “rework” due to procedural errors

On Kindai University’s admissions information site, an AI chatbot is utilized to respond to questions regarding admissions information and application procedures on the website 24/365. The AI instantly answers questions like “I want to know the application method” or “When are the exam dates?” It resolves the anxieties of test-takers, who often study at night, right on the spot. For the university, it not only reduces phone inquiries but also prevents procedural errors that tend to occur right before the application deadline, significantly reducing the operational costs of correction handling.

[E-Commerce] UNIQLO

A shopping assistant resolves everything from “inventory checks” to “delivery status”

UNIQLO’s AI chatbot “IQ” acts as a dedicated shopping assistant for users, widely supporting everything from finding products and selecting sizes to checking inventory. It cross-references e-commerce site and physical store data to answer pre- and post-purchase questions like “Is this item in stock?” or “When will it arrive?” Users can resolve their questions without the hassle of making a phone call or visiting a store, and UNIQLO provides a smooth purchasing experience while suppressing the volume of calls to the customer center, leading to improved repeat purchase rates.

[IT/Services] BIGLOBE

Solving “can’t connect” troubles without the wait, maintaining customer satisfaction

BIGLOBE’s chat support handles inquiries that tend to become complex in the telecommunications field, such as internet connection troubles and moving procedures. It presents solutions through simple operations of choosing options, while also responding to natural language inquiries like “The phone line is busy and I can’t connect.” By having the AI handle the initial response during troubles, it reduces operational costs, ultimately achieving both the maintenance of customer satisfaction and the reduction of support costs.

Common Failures in AI Chatbot Development and How to Avoid Them

AI chatbots only function properly with appropriate design and operation. To ensure project success, grasp the “three pitfalls” many companies fall into and their countermeasures.

1. Increased Costs Due to Swelling Man-Hours

A common occurrence in development projects is cases where requirements expand too much, leading to budget overruns.

The causes are mainly the following two:

• Packing in too many features.
• The occurrence of rework due to ambiguous requirements.

If you pack in various features like reservation functions, payment functions, and small talk functions thinking “Since we are introducing it anyway,” or if you repeatedly make specification changes mid-development like “We want it to be able to answer about this product too” or “We want to link member IDs,” development man-hours will naturally swell, and costs will increase.

【Countermeasure】 Decide what “not to do” and start small
The ironclad rule is not to aim for 100-point features from the beginning. Keep in mind a “small start” where you limit it to essential functions like “First, just automate the ‘Frequently Asked Questions’,” release it, and gradually add features after seeing results.

2. Release Timing is Delayed

This is somewhat similar to the increase in costs, but we often see cases where a product cannot be released at the expected time due to swelling man-hours.

In addition to the aforementioned feature additions and rework, there are two main factors that delay the release timing:

• The man-hours required to prepare training data took longer than expected.
• Pursuing too high an accuracy rate from the beginning.

Pay special attention to the preparation of training data. The task of creating Q&A lists (question and answer data) for the AI to learn is surprisingly tedious and difficult. It is common for data to be scattered across the company or for busy staff to fail to organize it. Since there are services that do not require such data preparation, if resources are lacking or organization seems to take time, it is a good idea to consider those options.

【Countermeasure】 Release with 70% accuracy and nurture it through operation
AI chatbots get smarter as they are actually used by users. Rather than spending time on desk tests, it is faster and results in higher accuracy to release under the assumption that “there are things it cannot answer at first,” and tune it while looking at actual conversation logs.

3. Inability to Build an Operational Structure and Run the Improvement Cycle

This is a pattern where it is used right after introduction, but accuracy gradually drops and no one uses it.
The main causes include the following two:

• There is no person in charge of conducting log analysis and retraining.
• An order must be placed with the development company every time a modification is needed.

As mentioned earlier, post-release “improvement” is extremely important for AI chatbots. Naturally, a person in charge of that is essential. If placing an order with the development company is required just to fix a single answer, the speed of improvement drops and costs rise, so maintenance tends to be put off.

【Countermeasure】 Choose a management screen (CMS) that anyone can modify
Of course, it is essential to decide “who the operations manager is” before introduction, but choosing a tool that allows front-line staff, not engineers, to easily add and modify Q&As from the management screen is the key to long-term operation.

Flow from Request to Release

General AI chatbot development projects are divided into two types: the “Full Scratch case” where a unique chatbot is developed from zero, and the “Service Introduction case” where an existing chatbot provided by a vendor is introduced. The flows for each are as follows.

Here, let’s look in detail at the flow of the more common option, the “Service Introduction case.”

Full Scratch Case

Phase	Details
Current State Review	・Issue inventory ・KPI setting ・Determining introduction areas/scope
Preliminary Design	・Requirements definition ・Data structure consideration
Implementation / Data Entry	・System build ・Product engineering ・Training data input ・Scenario setting
Accuracy Verification / Adjustment	・Internal testing ・Hallucination countermeasures ・Feedback reflection
UI Customization	・Design production ・UX design ・Integration work
Release / Operation & Log Analysis / Improvement	・Production go-live ・Log analysis ・Continuous improvement
Total Duration	3.5 to 6 Months

Service Introduction Case

Phase	Details
Service Introduction	・Issue inventory ・KPI setting ・Determining introduction areas/scope
Initial Setup / Data Entry	・Requirements definition ・Data structure consideration
Accuracy Verification / Adjustment	・System build ・Product engineering ・Training data input ・Scenario setting
Release / Operation & Log Analysis / Improvement	・Internal testing ・Hallucination countermeasures ・Feedback reflection
Total Duration	1 to 3 Months

Service Introduction

This is the phase where you select an AI chatbot service that meets your company’s challenges and objectives, and proceed with account registration and utilization plan selection. First, utilize vendor free consultations, demos, and trials to confirm whether it meets your company’s requirements and whether the management screen is easy for front-line staff to use, before proceeding to formal introduction and contracting.

Duration: 1 to 2 Weeks

Initial Setup / Data Entry

This is the process of performing initial settings to run the chatbot, inputting data for the AI to learn, and setting scenarios. Normally, creating and organizing FAQ (frequently asked questions and answers) data from scratch for the AI to read takes an enormous amount of time.

However, with an AI chatbot like our company’s “Kaiwable,” which can automatically learn information just by reading existing website URLs or PDF files, there is no need to prepare dedicated data for the chatbot or complex scenarios, making it possible to significantly shorten the learning period. Also, in the case of Kaiwable, the “Custom Instructions” function, which gives the bot rules for responding, allows you to finely set the bot’s role, goals, tone of response, and unique rules. Therefore, it is possible to spend about 1 to 3 weeks solidly building it out to match your company’s brand image.

Duration: 2 Weeks to 1 Month (Can be shortened if your company’s information is organized before introduction)

Accuracy Verification / Adjustment

Before releasing to the production environment, this is the phase where internal members conduct tests to verify and improve the AI’s response accuracy and scenario pathways. We verify whether the AI provides inappropriate responses or responses that contradict the facts (hallucinations) to diverse questions from users. When the intended answers are not returned in testing, fine tuning is performed by improving the scenarios or modifying the instruction text to the bot. To create a highly practical chatbot right from release, it is important to carefully repeat adjustments during this period. If you are meticulously modifying answers at this stage, depending on your level of commitment, it is conceivable that it will take an additional 1 to 3 weeks than usual.

Duration: 1 to 2 Weeks

Production Release / Operation & Log Analysis / Improvement

The chatbot is implemented on the website and provided to general users. An AI chatbot is not a “set it and forget it” tool; continuous log analysis and improvement after production release are the keys to achieving results. Improvement mainly involves the analysis of conversation logs, but some services have a function to automatically aggregate “frequently asked questions” and “unanswered questions” from daily conversation history, so it is possible to reduce the time spent organizing data. Furthermore, with our company’s “Kaiwable,” in addition to automatic log aggregation, it is also possible to track the pathway from when a user accesses the site until they reach CV. Because this allows you to understand “which conversations led to sales or inquiries,” you can nurture the chatbot not just as an automatic response tool, but as a partner that solves business challenges and raises the bottom line of website outcomes.

Duration: Continuously implemented after release

Conclusion

Here is a summary of the main points of this article.

Points for Choosing a Company

Points for Choosing a Company	・Market Cost Estimates ・Flow from Development to Implementation ・Measures to Prevent Failure
Market Cost Estimates	・Cloud (Small Start): Initial ¥0 – ¥100,000 / Monthly ¥10,000 – ¥50,000 ・Cloud (High-Function/Marketing): Initial ¥500,000 – ¥1,500,000 / Monthly ¥100,000 – ¥500,000 ・On-Premise / Dev: Initial ¥3,000,000+ / Monthly Hundreds of thousands of yen
Flow from Development to Implementation	1. Hearing & Requirements Definition (Clarifying objectives) 2. Scenario Design & Data Learning 3. UI Customization & Implementation 4. Test Verification & Tuning 5. Release & Effectiveness Verification (PDCA)
Measures to Prevent Failure	・Do not demand multi-functionality from the beginning; start with a small start. ・Do not obsess over accuracy at release; maintain an awareness of “nurturing through operation.” ・Secure an internal operational structure (person in charge) in advance. ・Choose a tool that is easy for non-engineers to modify.

To avoid failing in your partner selection, the most important thing is not to choose based solely on name recognition or price, but to choose a company that matches your company’s resources, budget, and the fundamental purpose of “What do you want to solve with an AI chatbot?”

We hope this article will serve as a reference for you to find the optimal partner who can stay close to your company’s challenges and pursue results together.