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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.

프로젝트가 실패하는 이유

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.

컴플라이언스

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.

우리가 만드는 것

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.

우리의 프로세스

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

자주 묻는 질문

맞춤형 AI 챗봇을 구축하는 데 비용이 얼마나 드나요?

AI 챗봇 프로젝트는 RAG 기반 지식 검색과 CRM 통합이 포함된 단일 채널 배포의 경우 $8,000부터 시작합니다. 고급 적격 흐름과 분석 대시보드를 갖춘 멀티 채널 구축은 일반적으로 $14K–$25K입니다. 최종 가격은 통합 수, 대화 복잡성, 지식 베이스 규모에 따라 달라집니다.

AI 챗봇 개발에는 얼마나 오래 걸리나요?

대부분의 프로젝트는 5-6주 내에 운영을 시작합니다. 1주차는 발견 및 대화 설계, 2-4주차는 개발 및 통합, 5주차는 테스트 및 프롬프트 튜닝입니다. 많은 통합을 포함한 복잡한 멀티 채널 배포는 8주까지 늘어날 수 있습니다.

챗봇이 환각을 일으키거나 잘못된 답변을 제공하나요?

우리는 검색-증강 생성을 사용하여 모든 응답을 실제 문서에 기반하게 합니다. 프롬프트 가드레일, 출력 검증, 신뢰도 점수와 함께 사용하면 환각률이 5% 미만으로 떨어집니다. 봇이 확신하지 못하면 추측하지 않고 인간에게 에스컬레이션합니다.

AI 챗봇을 기존 CRM과 통합할 수 있나요?

네, 가능합니다. 우리는 HubSpot, Salesforce, Pipedrive 및 REST API를 노출하는 대부분의 CRM과 기본 통합을 구축합니다. 리드 데이터, 대화 기록, 적격 점수는 자동으로 동기화됩니다. 헬프데스크의 경우 Zendesk, Intercom, Freshdesk가 모두 즉시 지원됩니다.

챗봇 코드와 데이터를 소유하나요?

물론입니다. SaaS 챗봇 플랫폼과 달리 전체 코드베이스, 훈련된 지식 베이스, 모든 대화 데이터를 소유합니다. 우리는 귀사의 인프라 또는 Vercel 계정에 배포합니다. 공급업체 종속성이 없으며, 대화 볼륨이 증가해도 수수료가 증가하지 않습니다.

챗봇 성능을 어떻게 측정하나요?

우리는 티켓 처리율, 리드 적격 전환, 평균 해결 시간, 대화 중단점, 사용자 만족도를 추적합니다 — 모두 맞춤형 분석 대시보드에 표시됩니다. 이 데이터는 출시 후 30일 기간 동안 수행하는 프롬프트 및 흐름 튜닝을 주도합니다.

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

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