Giizo AI

Giizo AI

How Giizo AI Works

Pick a persona, connect your data, go live. Giizo AI digital workers run real work with MCP, task orchestration and proactive triggers — they don't just reply.

Giizo AI is not a tool for assembling empty chatbots. It puts a digital worker that knows your vertical and is ready with the right tools live in about 5 minutes. The flow is three steps; the platform supplies the rest.

1. Create your agent

Sign in to the Giizo AI panel and pick a vertical persona — E-commerce & Trendyol/Hepsiburada, Clinic & Aesthetics, Restaurant & Cafe, or SaaS & Services.

  • Behavior rules, tone and system prompt come ready
  • The MCP tool set for that vertical is pre-selected
  • Knowledge-base templates and proactive scenarios arrive with the persona

You are not configuring a blank assistant; you are hiring a ready digital worker.

2. Add your data

Connect your own data so the agent knows your business:

  • Website URLs, PDFs and business rules → Knowledge Base (RAG)
  • Product/service catalog (including variants, stock and price)
  • Optionally connect order, calendar or CRM systems via MCP

Answers are grounded in your data, not generic model knowledge.

3. Go live

The same agent runs across six channels at once:

  • WhatsApp — text customer communication via WhatsApp Business API
  • Instagram — text sales and support from DMs
  • Facebook Messenger — text messages to your business page
  • Web Widget — one-line embed;text or voice
  • Web Page (Standalone) — shareable URL / QR;text or voice
  • Robot —voice AI on physical devices in store, clinic or office (Raspberry Pi and compatible devices)

WhatsApp, Instagram and Messenger are text-based; voice conversation is available on Web Widget, Web Page and Robot. You do not build a separate agent per channel — one persona, consistent everywhere.

The agent runs work (it does not only reply)

Once live, the digital worker:

  1. Receives the customer message and builds context from the knowledge base / catalog
  2. Takes real action in external systems via MCP when needed (query an order, book an appointment, start a return)
  3. Plans multi-step requests with task orchestration and executes steps in sequence
  4. Acts on its own through proactive triggers (cart abandonment, upcoming appointment, and similar events)
  5. Hands off to live support in one click when it cannot resolve — context is preserved

Track performance

In the panel you see conversation quality, channel mix and persona-specific outcomes (appointments, sales, tickets). The agent learns; the knowledge base grows under admin control.

In short: Pick a persona → connect your data → open a channel. In 5 minutes a vertical-aware digital worker starts running the work.