AI Chatbots for Your Business

Yetiman builds AI chatbots to handle specific business tasks, not just generic conversations. That usually means automating customer support, post-sale interactions and lead qualification across websites and digital channels. The goal is simple: give companies a stronger support and sales presence without adding more manual work.

We use chatbots to automate tasks such as: - customer support - post-sale support - lead qualification - answering common questions - guiding users through specific actions These are the kinds of interactions that happen repeatedly and can often be handled by a chatbot. That means faster, always-available responses while leaving teams free to focus on situations that need human judgment.

We connect chatbots with the systems companies already use, so they can support real workflows instead of operating in isolation. That can include integrations with: - Shopify - WooCommerce - CRM systems - ticketing systems This allows chatbots to support sales, customer service and operational processes more effectively.

We build conversational assistants that can operate across the channels customers already use. That can include: - websites - WhatsApp - Instagram - Messenger - email The idea is simple: give companies a more consistent presence across channels without creating more manual work for the team.

The main value is maintaining a consistent support presence across digital channels. In practice, that usually means: - customer support automation - support Available 24/7, 365 days a year - less dependence on manual handling - more consistent customer interactions across channels - more time for teams to focus on situations that need human judgment This helps companies stay available and responsive without needing teams online all the time.

This solution is especially useful for companies that handle customer questions, support requests or inbound leads across digital channels. This often includes: - startups - small and medium-sized businesses - e-commerce companies If customer interactions happen frequently and across multiple channels, this solution usually makes sense.

This usually comes down to how the chatbot was set up rather than the technology itself. Generic chatbots that aren't connected to real company knowledge tend to give vague or repetitive answers because they have nothing specific to draw from. The fix is grounding: connecting the chatbot to your actual documentation, product data, FAQs and past conversations, so it answers from real context instead of guessing. Yetiman builds chatbots this way by default — grounded in your company's own knowledge and connected to the platforms you already use (CRM, ticketing, e-commerce), so answers stay accurate and relevant instead of generic.

It depends on how many channels and integrations are involved and how much of your existing content the chatbot needs to be grounded in. A chatbot handling a single, well-defined task on one channel (like FAQs on a website) can usually be scoped and tested in a few weeks. Adding more channels (WhatsApp, Instagram, Messenger) or connecting it to CRM, ticketing or e-commerce systems extends the timeline. Yetiman usually recommends starting with one channel and one clear use case — customer support or lead qualification, for example — proving it works, then expanding to more channels and integrations from there.

The features that matter most are usually less about the chatbot's tone and more about what it's connected to. Look for whether it can be grounded in your own documentation and product data (so answers are accurate, not generic), whether it covers the channels your customers actually use (website, WhatsApp, Instagram, Messenger, email), and whether it integrates with the systems that matter for the task — CRM for sales and lead qualification, ticketing systems for support, Shopify or WooCommerce for e-commerce. A chatbot that looks impressive in a demo but isn't grounded in real data or connected to your actual tools tends to struggle once it's handling real customer questions. Yetiman builds chatbots around those two things first — grounding and integration — rather than starting from a generic template.

Yes — when a chatbot needs to go beyond generic templates, Yetiman applies the same techniques used in custom generative AI development: shaping prompts around your specific tone, task and data instead of relying on default behaviour, and fine-tuning models on your own examples where that improves reliability. The chatbot is also grounded in your company's own documentation and content through retrieval, so answers stay accurate and on-brand instead of generic — and can be tested and refined against real examples as usage patterns become clearer, rather than shipped once and left alone.

Yes — when a project requires it. Yetiman's chatbots and automations are built to connect to the systems a business already runs, not to replace them, and that scope is defined during the initial opportunity assessment rather than assumed upfront. That can include local ERP and accounting platforms like PHC or Primavera, alongside CRMs, ticketing tools or internal databases — the integration is built for the specific systems in use, rather than offered as a fixed, pre-built connector.