{"id":255,"date":"2026-10-03T00:05:20","date_gmt":"2026-10-02T21:05:20","guid":{"rendered":"https:\/\/bigdrop.gr\/chatbot-or-knowledge-assistant\/"},"modified":"2026-10-03T00:25:28","modified_gmt":"2026-10-02T21:25:28","slug":"chatbot-or-knowledge-assistant","status":"publish","type":"post","link":"https:\/\/bigdrop.gr\/en\/chatbot-or-knowledge-assistant\/","title":{"rendered":"Chatbot or knowledge assistant? What your business really needs"},"content":{"rendered":"<p>&#8220;We want a chatbot on the website&#8221; is one of the most common requests we hear. Behind the same phrase, though, there are very different needs, with different costs and different results. If you don&#8217;t clarify from the start what you actually need, it is easy to pay for something that does not solve your problem.<\/p>\n<h2>Three things we call a &#8220;chatbot&#8221;<\/h2>\n<p><strong>1. The simple FAQ assistant.<\/strong> It answers a limited set of routine questions: opening hours, payment methods, shipping times. The answers are more or less predefined. It is cheap and reliable, but it knows nothing beyond what you have given it.<\/p>\n<p><strong>2. The knowledge assistant.<\/strong> It answers from your own documents and data: catalogues, manuals, procedures, terms, technical sheets. It finds the relevant part and phrases the answer, ideally citing the source so that someone can check it.<\/p>\n<p><strong>3. The assistant that acts.<\/strong> It does not only answer, it does things: checks an order&#8217;s status, books an appointment, opens a support ticket, updates a system. To do that, it has to be connected to your systems, with proper access rights and logging.<\/p>\n<h2>When the simple one is enough<\/h2>\n<p>If the questions you receive are few and repetitive, a simple assistant, or even a good FAQ page, does the job. There is no need to pay for something more complex.<\/p>\n<h2>When you need a knowledge assistant<\/h2>\n<p>When the information customers or partners look for is spread across many documents and changes often. In that case we often suggest starting <strong>internally<\/strong>: your own staff use it first, where a mistake is easy to spot, and it opens to customers only once it has proved its value.<\/p>\n<h2>When it needs to connect to your systems<\/h2>\n<p>When the answer depends on live data: &#8220;where is my order?&#8221;, &#8220;do you have this size in stock?&#8221;, &#8220;is there a free slot on Thursday?&#8221;. Here the assistant has to read from your online store, ERP or booking system. It is the most useful form, and also the one that needs the most careful design.<\/p>\n<h2>Mistakes we often see<\/h2>\n<ul>\n<li><strong>An assistant without the right data.<\/strong> A language model with no access to your information will give answers that sound right but are not.<\/li>\n<li><strong>No way out to a human.<\/strong> A customer who doesn&#8217;t get an answer must be able to talk to someone, without retyping the whole problem.<\/li>\n<li><strong>No measurement.<\/strong> If you don&#8217;t know how many questions were answered correctly and how many ended up with a person, you don&#8217;t know whether the assistant is worth the money.<\/li>\n<li><strong>Customer-facing first.<\/strong> Your customers&#8217; first experience is not the best place to test something new.<\/li>\n<\/ul>\n<h2>How to decide<\/h2>\n<p>Answer four questions:<\/p>\n<ol>\n<li>What are the 20 most frequent questions you receive, and how many can be answered without live data?<\/li>\n<li>Where does the information for the answers live today, and how often does it change?<\/li>\n<li>Who will review the answers and keep the content up to date?<\/li>\n<li>How will you measure whether it is worth it: fewer phone calls, faster answers, less staff time?<\/li>\n<\/ol>\n<p>Your answers almost always show which of the three forms you need, and whether you need a chatbot at all or something else. If you would like to work through it together, we always start with this analysis, before any technology. See <a href=\"\/en\/ai-transformation\/\">how we approach the move to AI<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Behind &#8220;we want a chatbot&#8221; there are three very different needs. How to tell which one is yours before you pay for anything.<\/p>\n","protected":false},"author":2,"featured_media":281,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[26],"tags":[],"class_list":["post-255","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Chatbot or knowledge assistant? | BigDrop<\/title>\n<meta name=\"description\" content=\"A simple FAQ bot, a knowledge assistant, or an assistant connected to your systems? 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