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Andavor
Cloud-based AI sales & support agent for SMBs
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Andavor - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: October 2026
Andavor overview
What is Andavor?
Andavor is a cloud-based, SaaS conversational AI agent that manages customer service and sales conversations for small to medium-sized Brazilian businesses operating across website chat, WhatsApp, and WooCommerce. The agent is trained on company-specific knowledge — products, services, commercial rules, policies, and internal documents — and applies that knowledge consistently across every customer interaction without requiring the business to write code, configure decision trees, or possess any AI expertise. Setup is handled through a web panel, with WhatsApp connected via QR Code or official Meta registration and website chat embedded via a single script line.
The agent queries live systems in real time before responding, pulling current prices, stock levels, shipping quotes by postal code, and order status rather than generating figures from the model itself. When information is unavailable, the agent escalates to the business owner instead of fabricating an answer. Order creation and payment processing are handled natively through Mercado Pago (Pix and credit card), with funds going directly to the business's own account. WooCommerce catalog and order data are integrated, Google Calendar supports appointment scheduling for service businesses, and every response is logged with an auditable record of the exact data consulted to produce it. Three monthly subscription tiers (Personal at BRL 100/month, Essencial at BRL 550/month, and MAX at BRL 1,100/month) are available with no lock-in and a 14-day free trial on the entry tier.
Andavor targets e-commerce stores, retail operations, and appointment-based service providers that handle significant customer volume through chat channels. By centralizing previously scattered company knowledge and applying it uniformly across conversations, the platform reduces the volume of repetitive inquiries reaching human staff while maintaining response accuracy grounded in real business data.
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