Chatbots, AI agents, multi-LLM and LGPD — no fluff.
AI, LLM and AI Agent are not synonyms. Understand how the three nest — and the question that separates who delivers a complete worker from who sells just a loose engine.
The five architectural pieces that separate "having AI" from actually solving support: knowledge base, routing, handoff with context, ticket with SLA and omnichannel.
It is real AI, confirmed. But what about the return? The four metrics you should demand to know whether AI saves money or is just an expensive ornament.
Much of what is sold as "AI" is disguised if/else. The hood test: four questions that reveal whether your vendor delivers a real AI agent or just the label.
Not all support should be 100% automatic. Meet AI Assist: AI suggests the response for the agent to review and send.
A good AI doesn't answer everything — it knows when to hand off. Understand escalation triggers and why human oversight is part of the design.
Invoice copy, gym hours, pool rules. Always the same questions. See how AI solves this.
In electronic security, seconds matter. See how automatic triage, smart prioritization and multichannel support help centers respond faster.
A customer asked to delete their data. Now what? See what the LGPD requires, the response deadline and how to simplify the process.
When your company uses a service platform, who is responsible for customer data? Understand the difference between Controller and Processor.
Not all "AI customer service" is equal. Before signing, find out what to ask about knowledge base, control, escalation and data protection.
Add up the time your team spends answering the same questions, the leads lost after hours and the customer who gives up waiting. The cost of keeping everything manual is higher than it seems.
Understand how monitoring centers can use AI for automatic incident triage and reduce false positives.
How GoSeny's AI solves property managers' biggest challenge: identifying who the resident is and which building they belong to.
Understand how vector search (RAG) transforms AI response quality and why keywords no longer work.
Discover why unifying external support and internal helpdesk on a single platform improves productivity and reduces costs.
Practical guide on how to align WhatsApp customer service with LGPD requirements, including consent, retention and audit trails.
Learn the risks of depending on a single AI model and how GoSeny's multi-LLM approach protects your operation.
Understand the fundamental difference between traditional chatbots and AI agents with RAG, and why this shift is inevitable.
