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AI & Automation
GPT-4o PoweredCRM Integration24/7 Automation

AI Chatbot Development Agency

Custom AI Chatbots That Close Deals and Resolve Tickets

73%
Ticket Deflection
Average across clients
3.2×
Lead Conversion Lift
vs. static forms
<400ms
Response Time
Streaming replies
24/7
Availability
Zero downtime
What Is AI Chatbot Development?

AI chatbot development is the design, training, and deployment of conversational agents that talk to users in plain language. Rule-based bots follow scripts and fall apart the moment a user goes off-script. Modern AI chatbots use large language models like GPT-4o to understand context, pull answers from your actual documentation, and take real action — booking meetings, qualifying leads, closing support tickets — without anyone on your team lifting a finger.

プロジェクトが失敗する理由

Support tickets pile up overnight and on weekends Slow response times kill CSAT scores and push customers toward the exit.
Generic chatbot builders produce robotic, frustrating experiences Users abandon chat within seconds, wasting traffic you paid to acquire.
Lead forms sit on pages converting at 2-3% You're leaving 90%+ of interested visitors on the table.
Your knowledge base is scattered across docs, PDFs, and Notion Without proper RAG architecture, a chatbot will either give wrong answers or make things up entirely.
No visibility into what customers are actually asking Product and support teams miss feedback that should be shaping their roadmap.
Off-the-shelf bot platforms lock you into monthly SaaS fees that scale with usage Costs keep climbing and you never own anything.

コンプライアンス

Retrieval-Augmented Generation

Your chatbot answers from your actual documentation — not hallucinated data. We build vector-indexed knowledge bases using Pinecone and Supabase pgvector.

CRM & Helpdesk Integration

Native connections to HubSpot, Salesforce, Intercom, and Zendesk. Leads flow straight into your pipeline with the full conversation attached.

Conversation Guardrails

Prompt engineering and output validation keep responses on-topic, prevent data leakage, and stop the bot from saying something that damages your brand.

Human Handoff Routing

When the AI spots a complex issue or a high-value opportunity, it hands off to a human agent — full conversation history intact, no context lost.

Analytics Dashboard

Track deflection rates, lead qualification scores, common topics, and conversation drop-off points. Data you can actually do something with.

Data Privacy & Security

SOC 2-aligned architecture. User data is encrypted at rest and in transit. We support data residency requirements and PII redaction in logs.

構築する内容

Multi-Channel Deployment

Deploy the same AI agent to your website, WhatsApp, Slack, SMS, and Facebook Messenger from a single codebase.

Lead Qualification Flows

The chatbot asks targeted questions, scores intent, and books meetings directly on your team's calendar.

Custom Training Pipeline

We ingest your docs, FAQs, past tickets, and product specs to build a knowledge base the bot genuinely understands.

Streaming Responses

Token-by-token streaming via the Vercel AI SDK delivers responses that feel instant rather than generated.

A/B Testing Framework

Test different conversation flows, personalities, and CTAs to keep improving conversion and resolution rates over time.

Self-Service Knowledge Updates

Non-technical team members can update the bot's knowledge through a simple admin interface — no redeployment needed.

私たちのプロセス

01

Discovery & Conversation Design

We audit your existing support data, map out customer intent categories, and design conversation flows for both service resolution and lead capture.
Week 1
02

Knowledge Base & RAG Architecture

We ingest your documentation, build vector embeddings, and configure retrieval pipelines so responses stay accurate and grounded.
Week 2
03

Bot Development & Integration

We build the chatbot UI, connect it to your CRM and helpdesk, implement guardrails, and wire up human handoff logic.
Weeks 3-4
04

Testing & Prompt Tuning

Adversarial testing covers hallucinations, edge cases, and brand safety. We tune prompts until accuracy clears 95% on your test set.
Week 5
05

Launch & Optimization

We deploy to production with monitoring dashboards in place, then spend 30 days tuning based on real conversation data and user feedback.
Week 6+
Next.jsOpenAI APILangChainVercel AI SDKSupabasePineconeVercel

よくある質問

カスタムAIチャットボット構築の費用はいくらですか?

AIチャットボットプロジェクトは、RAG対応の知識検索とCRM統合を備えた単一チャネルデプロイで$8,000から開始します。高度な適格性判定フローと分析ダッシュボードを備えたマルチチャネルビルドは通常$14K~$25Kです。最終的な価格は、統合の数、会話の複雑さ、ナレッジベースのサイズに左右されます。

AIチャットボット開発にはどのくらいの期間がかかりますか?

ほとんどのプロジェクトは5~6週間で本番運用開始します。第1週は発見と会話設計、第2~4週は開発と統合、第5週はテストとプロンプトチューニングです。統合が多い複雑なマルチチャネルデプロイは8週間まで延長される場合があります。

チャットボットは幻覚を見たり、間違った回答をしたりしませんか?

検索増強生成を使用して、すべての回答を実際のドキュメンテーションに基づかせています。プロンプトガードレール、出力検証、信頼度スコアリングを組み合わせることで、幻覚率は5%未満に低下します。ボットが確信を持てない場合は、推測するのではなく人間にエスカレーションします。

AIチャットボットは既存のCRMと統合できますか?

はい。HubSpot、Salesforce、Pipedrive、およびREST APIを公開するほとんどのCRMとのネイティブ統合を構築します。リードデータ、会話トランスクリプト、適格性スコアは自動的に同期されます。ヘルプデスクの場合、Zendesk、Intercom、Freshdeskはすべてそのままサポートされています。

チャットボットのコードとデータを所有できますか?

もちろんです。SaaS チャットボットプラットフォームとは異なり、コード全体、トレーニング済みナレッジベース、すべての会話データを所有します。独自のインフラまたはVercelアカウントにデプロイします。ベンダーロックインなし、会話量の増加に伴う料金の増加はありません。

チャットボットのパフォーマンスはどのように測定しますか?

チケット解決率、リード適格化コンバージョン、平均解決時間、会話のドロップオフポイント、ユーザー満足度スコアを追跡します。これらはすべてカスタム分析ダッシュボードに表示されます。このデータは、起動後30日間に実施するプロンプトとフローの調整を推進します。

AI Chatbot Development from $8,000
Fixed-fee. 30-day post-launch optimization included.
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Next.js DevelopmentCore Web Vitals OptimizationCore Web Vitals: Complete Guide 2026

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