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💬 AI Chatbots for Business

AI Chatbots for Business — website, CRM, and customer support

Aiprocesai builds AI chatbots for businesses that answer common customer questions, guide users toward the right product or service, collect leads, and route complex inquiries to the team. The chatbot can connect to a website, CRM, email, documents, or an internal knowledge base.

Unlike a static FAQ, an AI chatbot understands context, asks clarifying questions, and walks the customer to a clear next step. Runs 24/7. MVP from €500.

Discuss a chatbot projectBook a free audit
Chatbot types

What we build

💬
For B2B / B2C sites
Website chatbot

Answers common questions, suggests the right service or product, captures contacts. Available 24/7.

🎯
For sales teams
Lead qualification bot

Asks qualifying questions (budget, timeline, company size) and passes a ready-to-action lead into your CRM.

📚
For internal use
RAG knowledge bot

Searches your documents (Notion, SharePoint, Drive) and answers with a source citation.

🛒
For online stores
E-commerce assistant

Helps pick a product, answers shipping/returns/sizing questions. Integrates with Shopify and WooCommerce.

📅
For service businesses
Booking / meeting bot

Coordinates a time, books into Calendly or Google Calendar, sends a confirmation email.

🌐
For international business
Multi-language bot

Automatically detects the customer language (LT/EN/RU/PL) and responds in the same language without extra setup.

Clear boundaries

What an AI chatbot should — and should not — do

✅ What chatbots do well
✓Answers common customer questions from your knowledge base or documents
✓Helps a customer pick the right service or product in a natural conversation
✓Qualifies leads by your criteria before passing them to the team
✓Captures contact details and creates a CRM record with full conversation history
✓Routes complex inquiries to a specific team member
✓Runs 24/7 — answers inquiries on weekends, evenings, and holidays
✓Works in Lithuanian, English, and other languages out of the box
❌ What a chatbot should not do
✗Replace a salesperson in a complex B2B deal
✗Make final decisions about payments, contracts, or discounts
✗Answer questions outside your knowledge base without clearly saying "I do not know"
✗Operate without a clear handoff-to-human rule for complex cases
Integrations

Systems the chatbot works with

WordPressWebflowShopifyWooCommercePipedriveHubSpotSalesforceZoho CRMGmailOutlookSlackTeamsNotionSharePointGoogle DriveConfluenceCalendlyGoogle CalendarOpenAI GPT-4Anthropic ClaudeAzure OpenAIPineconepgvectorSupabase
How we work

From knowledge gathering to launch

1
Knowledge gathering

We collect your FAQ, service descriptions, and documents. We identify the 20–50 most common customer questions.

2
Chatbot configuration

We design the chatbot logic, pick the LLM (GPT-4, Claude), set the tone, and define handoff-to-human rules.

3
Testing with real inquiries

We test with questions from your team plus real inquiries from past customers. We tune the responses.

4
Integration and launch

Install on the website, connect CRM, train the team. 30 days of monitoring and tuning after launch.

Have a specific use case in mind?

A 30-minute audit tells you whether an AI chatbot fits your case and what it costs.

Book a free audit
Related

Other services

💬
Service
Customer Service Automation
→
🧠
Service
AI Agents for Business
→
🤖
Service
AI Automation
→
🎯
Service
CRM Automation
→
💰
Pricing
Automation pricing
→
🔍
Audit
Free automation audit
→
Questions

Frequently asked questions

How much does an AI chatbot cost?
A simple website chatbot with FAQ and lead capture starts at €500. A RAG chatbot (grounded on your documents) costs €1,200–2,500. A more complex bot with CRM integration, multi-language support, and knowledge-base sync costs €2,500–5,000. LLM API costs add roughly €30–200/month depending on traffic.
Can the chatbot answer based on our documents?
Yes. With a RAG (Retrieval-Augmented Generation) architecture, the chatbot searches your documents (PDF, Word, Notion, SharePoint, Google Drive) and cites the source. Useful for FAQ, service descriptions, internal knowledge bases, and technical documentation.
Can it connect to a CRM?
Yes. We integrate with Pipedrive, HubSpot, Salesforce, Zoho, and other API-enabled CRMs. The chatbot can create a contact, open a deal, attach the conversation history, and assign a sales rep based on your rules.
Can it collect customer contact details?
Yes — it is one of the most common use cases. In a natural conversation (not a static form), the chatbot listens to the customer need, qualifies it, asks for contact details, and passes the lead to the team with full context.
When should the chatbot hand off to a human?
We configure clear handoff rules: when the question goes beyond the knowledge base, when the customer asks for a human, when the request involves a complaint or payment, or when several errors happen in a row. The team receives the full conversation history — no starting from scratch.
Can it work in Lithuanian and English?
Yes. Modern LLMs (OpenAI GPT-4, Anthropic Claude) handle Lithuanian and English well. We can configure automatic language detection — the customer writes in Lithuanian and gets a Lithuanian reply; writes in English and gets an English reply.
How long does it take to launch?
A simple FAQ chatbot: 5–10 business days. A RAG chatbot grounded on your documents: 2–3 weeks. A full system with CRM integration and multi-channel support: 3–6 weeks. We always start with an MVP — ship a working version before the full one.

Let's build your AI chatbot

A 30-minute call — we discuss your use case, document base, and integrations. Fixed-scope quote within 24 hours.

💬AI Chatbots (EN)

Request an AI chatbot quote

Describe where and why you want to use the chatbot — we come back with a fit assessment and price range within 24 hours.

  • ✅Free 30-min audit
  • ⚡Response within 24 hours
  • 📋Firm pricing quote
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