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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.

Onde os projetos falham

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.

Conformidade

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.

O que construímos

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.

Nosso processo

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

Perguntas frequentes

Quanto custa criar um chatbot de IA customizado?

Projetos de chatbot com IA começam em $8.000 para um deployment single-channel com retrieval-augmented generation e integração com CRM. Builds multi-channel com fluxos avançados de qualificação e dashboards de analytics geralmente custam $14K–$25K. O preço final depende do número de integrações, complexidade das conversas e do tamanho da sua base de conhecimento.

Quanto tempo leva o desenvolvimento de um chatbot de IA?

A maioria dos projetos fica pronta em 5-6 semanas. A primeira semana é discovery e conversation design, semanas dois a quatro cobrem desenvolvimento e integração, e semana cinco é testes e prompt tuning. Deployments multi-channel complexos com muitas integrações podem estender até 8 semanas.

O chatbot vai alucinar ou dar respostas erradas?

Usamos retrieval-augmented generation para fundamentar cada resposta na sua documentação real. Combine isso com prompt guardrails, validação de output e confidence scoring e as taxas de alucinação ficam abaixo de 5%. Quando o bot não tem confiança, ele escalona para um humano em vez de adivinhar.

O chatbot de IA pode integrar com meu CRM existente?

Sim. Construímos integrações nativas com HubSpot, Salesforce, Pipedrive e a maioria dos CRMs que expõem uma API REST. Dados de leads, transcrições de conversa e scores de qualificação sincronizam automaticamente. Para helpdesks, Zendesk, Intercom e Freshdesk são todos suportados nativamente.

Sou dono do código e dos dados do chatbot?

Absolutamente. Diferente de plataformas SaaS de chatbot, você é dono de todo o codebase, da base de conhecimento treinada e de todos os seus dados de conversa. Fazemos deploy na sua própria infraestrutura ou conta Vercel. Sem vendor lock-in, sem taxas que crescem conforme o volume de conversas aumenta.

Como você mede o desempenho do chatbot?

Rastreamos ticket deflection rate, conversão de qualificação de leads, tempo médio de resolução, pontos de drop-off de conversa e scores de satisfação do usuário — tudo exibido em um dashboard de analytics customizado. Esses dados orientam o prompt e flow tuning que fazemos durante o período de 30 dias pós-launch.

AI Chatbot Development from $8,000
Fixed-fee. 30-day post-launch optimization included.
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