AI Chatbot for Your Business

Pricing is on request. Chatbot cost depends on sources, channels, integrations, access permissions and conversation review tools. We itemise model usage per conversation, channel fees, hosting and maintenance separately. Trial conversations using your questions provide a basis for estimating running costs.

Yes, that is how we design this service. It searches approved pages, PDFs, price lists and FAQs, and shows the source it used. When evidence is insufficient, it says it does not know and offers a human handoff. We test that behaviour; models can still make mistakes, so answers are reviewed after launch too.

Yes - we developed meaning-based search across an archive of 1.7 million images for a platform that has been live since 2024. The platform has 2.3 million+ searches and users in 100+ countries.

We can connect a website chat window and selected WhatsApp, Viber, Messenger or Instagram channels to the same approved sources. We check business accounts, technical access, permissions and fees for each channel. Shared sources do not automatically merge customer identities or conversations across channels.

We can configure replies in the visitor's language and test the agreed languages with real questions. Product names, terminology and terms follow your instructions. Unclear translations or missing verified information are passed for review.

Yes, with suitable technical access to your calendar, booking system or store. We connect WooCommerce, Shopify or another system using the connections it supports. A booking is confirmed only after a successful record is created; order details require customer access checks. If the system is unavailable, the assistant collects a request for a person.

During working hours, handoff follows the agreed channel and staff availability. After hours, it collects contact details and the request, explaining that it is waiting for a reply. Staff receive the conversation and a summary by email or in the customer management system. Viber or Telegram staff notifications can be included where suitable access is available.

Before development we define the data, storage location, providers, deletion period and team access. We choose providers and settings that exclude customer data from training public models, reviewing their terms for the project. This is a design choice for the specific system. Visitor information and required website settings are prepared before launch.

We agree who approves sources and when they are refreshed. A review screen shows conversations, unanswered questions and sources within staff access permissions. We correct content or rules and repeat the checks. Maintenance scope and incident response are agreed separately.

Intercom, Tidio or Zendesk may be enough when they cover your channels and tasks. Custom development makes sense for booking rules, internal approvals or connections a ready-made product cannot support. We check this before proposing the scope.

We select a model based on language quality, answers and conversation cost. We can use OpenAI, Anthropic or a model on dedicated infrastructure. The assistant verifies identity before showing a personal order, and consequential actions require the agreed confirmation.

We agree a timeline after reviewing content, channels and connected systems. We start with one task and one channel, test conversations with your team and expand after the first working release.