# AI chatbots for business & WhatsApp | Slash Digital Lab Source: https://slash-digital.io/en/ai-chatbots/ Artificial intelligence Chat and voice assistants in Spanish, English and French, connected to your knowledge base, CRM and processes. Cited answers and human handoff when the case demands it. - Languages ES · EN · FR - Citations Verifiable answers - Channels Web · WhatsApp · voice Start a project See real work In short Slash Digital Lab builds AI chatbots for business: chat and voice assistants that answer with your data (citations visible) and hand off to a human when the conversation demands it. No inventing. Deployed on web, WhatsApp Business API and voice, with the same knowledge base and guardrails on every channel, in Spanish, English and French. Case: Mia, the AI copilot in the Réseau Mazette app. How an assistant answers from your documents and which guardrails work: RAG in 2026 and guardrails in production. What we deliver ## What a Slash chatbot includes From catalogue to CRM: the assistant works with your real information, not promises. 01 ### RAG with citations Answers grounded in your documents and data, with the source visible to the user. 02 ### Multichannel Web, WhatsApp Business API, social and voice; same memory and personality everywhere. 03 ### Guardrails Moderation, topic limits and customer-data protection in every answer. 04 ### Conversation metrics Resolved, escalated, cold topics and satisfaction, reviewed weekly. How we work ## From internal knowledge to a bot in production - ### Sources We organize FAQs, catalogues, policies and CRM data: the knowledge the bot can cite. - ### Voice & tone We define the assistant's identity and what it must ask before answering. - ### Hard tests Tricky cases in Spanish, French and English; we measure hits and misses on real data. - ### Deploy Channel by channel, with metrics and weekly improvements from real conversations. Scope and deliverables ## What the project delivers - **Knowledge base:** Your documents and data, organized and citable. - **Channels:** Web, WhatsApp Business API, voice; wherever your customer is. - **CRM:** Conversations and leads into your pipeline with context. - **Moderation:** Guardrails, forbidden topics and PII protection. - **Reporting:** Weekly resolution and escalation metrics. - **Languages:** Spanish, English and French. Proof in production ## Conversation AI, in production Read more Réseau Mazette · Flutter app ### Full Flutter app for iOS and Android Réseau Mazette connects French-speaking professionals and entrepreneurs in Spain. We shipped a full native Flutter app for iOS and Android: directory, events, messaging, memberships and AI copilot Mia, plus the branded web experience. Learn more → Read more LA LOGE · Voice cataloguing ### LA LOGE: show the garment, talk, and the record fills itself A PWA with a French voice assistant (OpenAI Realtime) that catalogues second-hand film costumes from a phone, and LA LOGE Source, where costume teams search that stock. Learn more → Comparison ## Platform or custom: what changes Both routes work; the difference lies in your integrations, your data and your volume. - **Chatbot platform:** Fast to launch with standard flows. You pay licences (per user, per conversation or per resolution, depending on the platform), and integration with your CRM or ERP depends on the connectors it offers. - **Custom chatbot:** Connected to your systems and your private data, with your rules and your tone. You pay for the build and the AI model usage; the code is yours. - **Either way:** Meta's WhatsApp Business fees, and your team's time to keep the content current. - **What decides:** How many systems the bot must query, whether your data can leave your infrastructure, and how many conversations you expect. Frequently asked questions ## The questions we hear often **Can it run on WhatsApp?** Yes, via WhatsApp Business API, with the same knowledge base and guardrails as web. **Does it handle French well?** Yes: quality is evaluated per language in Slash AI Lab; French is a working language, not an add-on. **What happens when it doesn't know?** It escalates to a human with full context. It never invents an answer. **How fast to production?** With organized sources, the assistant typically ships within weeks. **Is content moderated?** Yes: topic guardrails and review of sensitive answers before they go live. **How much does an AI chatbot cost?** It depends on the channels (web, WhatsApp, voice), the sources and systems it connects to (knowledge base, CRM), the languages and the conversation volume. The WhatsApp Business API also carries Meta's own fees. We quote after a free first read. **How do you protect the data?** We decide with you which sources the assistant sees and where they are hosted; personal data is handled under Colombia's Law 1581 of 2012 and the GDPR in Europe. **What do you need from us?** Your sources: FAQs, catalogues, policies and CRM access, which we organize so the bot can cite them. Together we define which sources the assistant sees, its tone and what it must ask before answering. After launch, your team spends time keeping the content current. **Which AI model does the chatbot use?** Whichever wins the Slash AI Lab evaluation on real cases from your business, in Spanish, English and French. We compare OpenAI, Anthropic, Gemini, DeepSeek, GLM, Qwen, Mistral and local open models; if your data can't leave your infrastructure, we use local or VPC inference. With a custom chatbot, the code is yours. **Who is accountable for the project, and on what hours?** A named owner, inside a small senior core that adds specialists per project. We work from Bogotá, on UTC-5 all year, Monday to Friday, 9:00 to 18:00, in Spanish, English or French, and review resolution and escalation metrics with you every week.