Every business answers the same questions — over and over.
Small and mid-size businesses in Latin America receive hundreds of WhatsApp messages daily. Most are repetitive: hours, prices, availability. The team spends more time answering known questions than solving real problems.
WhatsApp is the primary customer channel in Latin America. Over 80% of business interactions start there. But most companies manage it with a shared phone and a Google Sheet — or worse, a single person who becomes the bottleneck.
The visible symptom: customers wait hours for answers that could be instant. The deeper problem: no business can afford 24/7 human coverage, but customers expect it.
We did not build another chatbot. We built an agent that understands context, speaks the brand's language, and knows exactly when to step aside and let a human take over.
Chatbots answer. Agents resolve.
Traditional chatbots follow rigid decision trees. When the conversation goes off-script, the customer gets stuck in a loop. The result: frustration, abandoned conversations, lost sales.
The real problem is not automation — it is knowing when automation should stop. A customer asking for store hours needs a fast, automated answer. A customer frustrated about a delayed order needs a human with context.
Plixiq: three phases, zero manual intervention until needed.
Plixiq works in three phases. Each phase is designed to resolve the conversation at the lowest cost while preserving the highest quality.
Phase 1 — AI resolves. The agent answers using the business's knowledge base and configured personality. It handles FAQs, product questions, scheduling, and general inquiries. Most conversations end here.
Phase 2 — Smart detection. When the AI detects frustration, specific keywords, or a situation it cannot resolve, it triggers an escalation event — not a generic redirect, but a structured handoff with full context.
Phase 3 — Human closes. A human agent receives the conversation with the complete chat history, the escalation reason, and the customer profile. The human agent works directly through WhatsApp — no new tool to learn. When finished, the conversation returns to the AI for follow-up.
Each agent is fully configurable: personality, escalation rules, human agent assignments, timeouts, and WhatsApp connection — all from a single panel.
Designed to grow without breaking.
The system is built as a modular monolith: each business domain (messaging, escalation, conversations, human agents) lives in its own module with clear boundaries. This allows adding features without affecting what already works.
When a message arrives via WhatsApp, the system processes it in milliseconds: verifies identity, queries the language model, evaluates whether escalation is needed, and responds. If the primary AI provider fails, a backup provider takes over automatically. The customer never notices the difference.
Technical stack
What Plixiq does — and why each feature exists.
Every conversation is visible in real time. The dashboard shows the full chat history, AI responses, escalation events, and human agent takeovers — all in a single view.
Configurable AI personality. Each agent has a personality that defines its tone, knowledge, and boundaries. The agent speaks like the brand — not like a generic bot.
Multiple AI providers with fallback. If the primary AI provider goes down, the system switches to a backup automatically. Zero downtime for customers.
Smart escalation. Escalation triggers on configurable keywords or when the AI detects frustration. Each escalation includes the reason, conversation context, and routing to the right agent.
Human agents work from WhatsApp. Human agents do not need a new tool. They receive escalated conversations directly in WhatsApp and manage their availability with simple commands. When done, the conversation returns to AI.
Real-time dashboard. The admin panel shows live conversations. Conversation status, agent performance, and escalation metrics update instantly.
Capacity management. Each human agent has a configurable maximum of concurrent conversations. When all are busy, customers enter a queue with position updates.
Full audit trail. Every action — configuration changes, escalations, message deliveries, human interventions — is logged with actor, timestamp, and detail.
What changes when you deploy Plixiq.
Measured across initial deployments. Response time is median across all automated conversations.
For the business: Customer support costs drop because the AI handles the volume. Human agents focus on complex issues where they add real value. Coverage becomes 24/7 without overtime.
For the customer: Instant responses to common questions. When a human is needed, the transition is seamless — no "please repeat your issue." The human agent already has the full conversation.
For the operations team: A single dashboard shows everything: active conversations, AI performance, escalation rates, agent availability. Decisions are informed by real-time data, not end-of-month reports.
The roadmap beyond WhatsApp.
Plixiq's architecture was designed for extensibility. The messaging layer is channel-agnostic — WhatsApp is the first channel, not the only one.
Multi-channel expansion. The same AI agent will handle Telegram, Instagram DMs, and web chat. One configuration, multiple channels, unified conversation history.
Agent plugin system. Custom actions — check order status, book appointments, process returns — as pluggable tools the AI can invoke during conversations.
Conversation analytics. Intent classification, sentiment trends, escalation patterns, and resolution time distributions. Actionable signals for product and operations teams.
Knowledge base sync. Automatic ingestion from help centers, product catalogs, and internal documentation. The AI stays current without manual work.