AI chatbots for business
ByteWave deploys AI chatbots for business: 24/7 customer support, lead generation, FAQ automation, internal assistants. Multilingual support, integration with company knowledge base, escalation to human agents. GPT-4, Claude, Gemini and self-hosted models. POC in 2-3 weeks, production deployment in 4-8 weeks.
Ile zamówień mieliśmy w Q4?
W Q4 2025 zrealizowano 1,247 zamówień, co stanowi wzrost o 23% r/r. Największy udział miał kanał online (68%).
Pokaż prognozę na Q1
Prognoza Q1 2026 na podstawie modelu predykcyjnego:
Solutions tailored to the business
Customer support chatbot with RAG
Intelligent assistant answering customer questions based on the company knowledge base: documentation, FAQ, terms, product data. Retrieval-Augmented Generation provides precise answers from current documents. Escalation to a human agent when AI is uncertain.
Lead-gen chatbot
Assistant qualifying leads on the website. Collects needs, budget, timelines, routes to the right sales rep. Integration with CRM (HubSpot, Pipedrive, Salesforce) and marketing automation. Works 24/7, captures inquiries outside business hours.
Internal assistants
Chatbots for teams: HR (leaves, policies, benefits), IT (helpdesk, passwords, procedures), legal (contract templates, policies). Integration with Slack, Microsoft Teams, intranet. Reduces support team load by 40-60%.
Multi-channel deployment
One chatbot, many channels: website, Messenger, WhatsApp, Instagram, Slack, Teams. Consistent knowledge, unified responses. Admin panel for knowledge base editing, conversation monitoring, NPS analytics.
Tech stack that scales
AI models
Frameworks and RAG
Integrations and deployment
From idea to deployment
Discovery
Analysis of needs, business and technical requirements. We define goals and project scope.
Design
UX/UI design, system architecture, prototyping. We visualize the solution before coding.
Development
Iterative product building with regular demos. Agile, transparent process, constant contact.
Deployment
Testing, deployment, user training. Technical support and growth after launch.
Questions? We have answers
A classic chatbot follows rigid scripts or relies on the model's general knowledge (with hallucinations). A RAG chatbot first retrieves the most relevant fragments from the company knowledge base (docs, FAQ, terms) and responds based on them. Provides current, precise, company-tailored answers without hallucinations.
POC (2-3 weeks, simple FAQ chatbot) starts from 1,800-2,800 EUR. Production chatbot with RAG and integrations is 3,500-7,000 EUR. Advanced deployment with multi-channel, CRM and custom models is 7,000-14,000 EUR. Plus monthly API costs (typically 50-500 EUR depending on volume).
Yes. All major models (GPT-4, Claude, Gemini) excel at multilingual support including Polish, English, German, Ukrainian. For industries requiring specialized vocabulary (legal, medical, finance), optional fine-tuning on company documents.
Yes. By default, data is processed by OpenAI/Anthropic API in zero data retention mode (not used for training). For confidentiality-sensitive industries (finance, medical, legal), we deploy local models (Llama, Mistral) or in private client cloud. Full GDPR compliance, conversation audit, retention policy.
POC with simple FAQ - 2-3 weeks. Production chatbot with RAG and CRM integration - 4-8 weeks. Advanced multi-channel deployment with fine-tuning and monitoring - 2-4 months. First working version usually within 2 weeks.