RAG with citations
Answers grounded in your documents and data, with the source visible to the user.
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.
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.
From catalogue to CRM: the assistant works with your real information, not promises.
Answers grounded in your documents and data, with the source visible to the user.
Web, WhatsApp Business API, social and voice; same memory and personality everywhere.
Moderation, topic limits and customer-data protection in every answer.
Resolved, escalated, cold topics and satisfaction, reviewed weekly.
We organize FAQs, catalogues, policies and CRM data: the knowledge the bot can cite.
We define the assistant's identity and what it must ask before answering.
Tricky cases in Spanish, French and English; we measure hits and misses on real data.
Channel by channel, with metrics and weekly improvements from real conversations.
| 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. |
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. |
Yes, via WhatsApp Business API, with the same knowledge base and guardrails as web.
Yes: quality is evaluated per language in Slash AI Lab; French is a working language, not an add-on.
It escalates to a human with full context. It never invents an answer.
With organized sources, the assistant typically ships within weeks.
Yes: topic guardrails and review of sensitive answers before they go live.
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.
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.
Applied AI for real operations: agents, RAG, vision, voice and automation.
Learn more→ AgentsAgents with tools, memory and human oversight: support, ops and back office.
Learn more→ TrainingWe train your teams to use AI with judgement, not fear.
Learn more→ WebProduction web platforms: fast, secure and built to scale.
Learn more→Tell us your challenge. We reply within 24 business hours with an honest first read: if we can help, we'll say how; if not, we'll say who can.
I reply personally. No endless forms, no canned replies.