7 Must-Have Dual-Agent Systems for Restaurants

AIQ Labs positions itself as the go‑to platform for restaurants looking to own their AI chatbot instead of renting a generic solution. Their flagship offering is a **Restaurant AI** that handles reservations, menu navigation, and order upsells. The platform prides itself on a 15‑minute setup process thanks to a simple drag‑and‑drop interface that lets users upload PDFs, images, and brochures to fuel the chatbot. AIQ Labs claims a 30–60 day return‑on‑investment by reducing manual labor and boosting average order value. While the platform’s pricing model is not publicly disclosed, the company encourages prospects to contact their sales team for a customized quote. AIQ Labs’ strengths lie in its restaurant‑specific use cases and the ability to host the chatbot on a branded sub‑domain. However, the platform does not provide a dual‑agent architecture; all interactions are handled by a single chatbot that must be manually integrated into existing order‑management or POS systems.

Botpress is an open‑source chatbot platform that emphasizes a developer‑friendly ecosystem. The core product includes an **AI Agent Studio** for rapid creation of conversational flows, an **Autonomous Engine** that uses large language models to guide tasks, and a robust **Knowledge Base** feature that lets teams upload documents to train the bot. Botpress also supports **Human Handoff**—allowing conversations to be transferred to live agents—and a **Tables** module to store and manage conversation data. The platform offers a range of channels, including WhatsApp, Instagram, Messenger, and Slack, making it versatile for multi‑channel engagement. Botpress can be self‑hosted, giving businesses full control over data and compliance, or used as a cloud service. The pricing structure is tiered: a free community edition is available, and paid plans start with a Pro tier that unlocks advanced analytics, priority support, and additional modules. While Botpress does not explicitly market a dual‑agent system, its **Assistant Agent** can be built as a background process to analyze conversations and trigger webhooks. However, the platform requires technical expertise to set up, and the user interface, though powerful, can be overwhelming for non‑technical staff.

Capacity presents itself as a **contact center platform** that blends AI with live support. Its core offering is an AI‑powered chat system that can handle typical customer service inquiries, while a human agent can take over when needed. Capacity emphasizes real‑time sentiment analysis, automated routing, and workflow automation across channels such as chat, email, and voice. The platform claims to reduce average handle time and increase first‑contact resolution, making it attractive for restaurants that receive a high volume of reservation or order‑related queries. Pricing is not publicly listed; prospects must request a demo for a custom quote. Capacity’s strengths include a comprehensive set of omnichannel features and a strong focus on customer experience metrics. However, the platform does not provide a dual‑agent system out of the box—users must build a background assistant if they wish to analyze conversations and send emails automatically. Additionally, Capacity is primarily a contact‑center solution rather than a dedicated restaurant chatbot.

Streebo markets itself as a **no‑code AI agent platform** that offers pre‑built solutions for a variety of verticals, including hospitality. The platform provides a drag‑and‑drop interface to create conversational agents, and it advertises integrations with popular tools such as HubSpot, Notion, and Shopify. For restaurants, Streebo offers a hospitality‑specific agent that can handle bookings, menu inquiries, and customer feedback. Streebo’s pricing is not publicly disclosed; the company encourages potential customers to schedule a demo. The platform’s key strengths are its ease of use and the breadth of pre‑built templates that reduce development time. However, Streebo does not provide a dual‑agent system; all interactions are handled by a single front‑line bot. The platform also lacks a dedicated knowledge‑base system and does not offer an internal analytics dashboard, which may limit the ability to track performance and refine the bot over time.

EESel.ai offers a suite of AI products tailored to various business needs, including an **AI chatbot** and an **AI copilot** for drafting replies. The chatbot can be embedded on websites to answer customer questions, while the copilot assists with email drafting and internal communication. EESel.ai also provides an **AI triage** tool to route tickets and an **AI internal chat** for teams. While the platform’s pricing is not publicly disclosed, the company encourages potential users to request a demo for a custom quote. EESel.ai’s main advantage is its modular product line, enabling businesses to pick the tools that fit their workflows. However, the platform does not mention a dual‑agent system, nor does it provide a WYSIWYG editor or a dual knowledge‑base. The focus is more on internal productivity than on external customer engagement for restaurants.

AIQ Labs’ Restaurant AI platform is essentially a repeat of its flagship offering, but the company markets an updated version—Restaurant AI 2.0—highlighting improved natural language understanding and faster deployment times. The core features mirror the original: a drag‑and‑drop builder, PDF uploads, branded sub‑domains, and a promise of a 30–60 day ROI. While the platform no longer advertises a dual‑agent system, it does offer webhook hooks that can be used to feed conversation data into a separate analytics or CRM system. Pricing remains undisclosed and is available only via a sales request. Restaurants that prefer a fully managed, restaurant‑specific chatbot may find this offering attractive, but those seeking advanced analytics, internal AI training, or a built‑in dual‑agent architecture will need to look elsewhere.