Gallabox Alternative: A RAG Agent Instead of Chatbot Flows

A Gallabox alternative search usually comes from someone staring at a flow diagram. Gallabox is chatbot-flow focused: you design the conversation as branches — if the customer taps this, say that; if they type something else, route them here. That works beautifully for the ten questions you predicted. It breaks on the eleventh. Neksio takes the opposite approach: instead of building a flow, you upload your documents and a RAG agent answers from them, in the customer's own words. The difference is not a feature checkbox; it is who does the work — you, up front, mapping conversations, or the agent, at answer time, reading your documents.

One question, two machines

Take an illustrative example: a customer messages a dental clinic, “Can I move my Thursday cleaning to next week, and do you take my insurance?” In a flow-based bot, that message has to match a branch. Rescheduling is one branch; insurance is another; a message combining both is a case the builder may never have drawn — so the customer gets a menu, or a dead end, or a handoff. A RAG agent reads the same message differently: it pulls the clinic's scheduling policy and accepted-insurance list from the uploaded documents, and answers both parts in one reply, offering the next available slot. Nothing was drawn in advance. The agent's coverage is the document set, not the diagram.

The maintenance bill nobody quotes

Flows have a second cost that appears months later. Every price change, every new service, every policy update means editing branches and re-testing paths — and every branch you forget becomes a wrong answer served with confidence. Document-based agents invert that maintenance: change the price list document, and the next answer uses the new price. The business already maintains its documents; it does not need a second job maintaining a conversation map. For a small team, that difference is the difference between a tool that stays accurate and a tool that quietly goes stale.

When flows genuinely win

Honesty again: flows are the right tool for rigid, step-by-step processes — a fixed booking sequence, a strict intake form, a quiz with a scored outcome — where every path is known and deviation is an error. If your conversations are mostly forms wearing a chat interface, a flow builder serves you well. If your conversations are mostly questions — open-ended, combined, phrased in the customer's own words — an agent that reads documents answers more of them, with less building. Count last week's chats: if most of them were questions your documents already answer, you need an agent, not a diagram.

Trying the agent path

Switching from flows to an agent does not mean discarding what you learned: the questions your flows handled are exactly the documents the agent needs — price lists, policies, FAQs — uploaded once, then answered in any phrasing. Trial it on the free tier with real questions for a week and compare the coverage yourself. Neksio's pricing is public: Free covers 100 AI replies a month on WhatsApp; Starter $8.99 for 5,000 replies; Growth $11.99 for 15,000 replies including Facebook and Instagram; Scale $29.99 is unlimited with your own key plus done-for-you onboarding. And one boundary, stated plainly: Neksio is not a bulk or broadcast messaging tool — it answers customers one-to-one, and reminders go out as 1:1 replies using approved templates.