7 Reasons Why Sales Teams (Internal) Need a Dual-Agent AI Agent System

Quidget.ai offers a modular AI chatbot platform that emphasizes speed and flexibility for sales teams. The product suite includes a live chat widget, an AI agent platform that can be deployed across websites, a voice AI agent for call centers, and an internal AI assistant that runs in the background to support internal processes. Quidget’s architecture is designed to integrate with popular CRM and marketing tools via webhooks, enabling automated lead capture and follow‑up. The platform boasts a focus on customer support and sales automation, with specific use cases such as reducing ticket volume and streamlining sales outreach. Quidget’s pricing structure is not publicly listed on the website; users are encouraged to contact the sales team for a custom quote. Key strengths of Quidget include rapid onboarding—just a few minutes to embed the live chat widget— and a flexible API that allows developers to extend functionality. The voice AI agent adds a layer of omnichannel support, enabling teams to handle inquiries via phone calls in addition to web chat. Quidget’s internal assistant can be configured to send notifications or trigger workflows in external systems, providing a degree of automation that can reduce manual data entry. Quidget’s main limitation is the lack of detailed public information on advanced features such as knowledge base management or long‑term memory. The platform also does not appear to offer a dedicated course builder or hosted AI pages, which can be critical for teams needing secure, personalized learning environments.

Lindy.ai positions itself as an enterprise‑grade AI bot platform focused on automating customer support, sales, and internal processes. Its product lineup includes a web‑based chatbot builder, a library of industry‑specific templates, and an app‑builder that allows organizations to create custom AI agents without coding. Lindy highlights its integration ecosystem, supporting connections to popular tools such as Salesforce, Zendesk, and HubSpot, which facilitates seamless data flow between the chatbot and existing workflows. The platform also offers a knowledge graph engine that maps entities and relationships, enabling context‑aware conversations. One of Lindy’s notable features is its focus on phone call automation—users can route incoming calls to AI agents that handle FAQs and route more complex inquiries to human agents. The platform’s pricing is tiered, with a free plan that includes limited usage, a Professional plan at $49/month per bot, and an Enterprise plan with custom pricing for large deployments. While Lindy offers robust integrations and a knowledge graph, it lacks a dedicated dual‑agent architecture; the assistant agent is not explicitly separated from the front‑end chatbot. Additionally, there is no mention of a built‑in course builder, hosted AI pages, or long‑term memory for authenticated users.

DeepAI offers a suite of AI tools, including a chat interface, image and video generation, and text‑to‑image services. Its chat product is accessible via a web UI and API, allowing developers to embed conversational AI into their applications. The platform emphasizes open‑source models and provides free access to basic features, with paid plans for higher usage limits and faster response times. DeepAI’s chat model can be customized with user prompts, but it does not provide a dedicated knowledge base or dual‑agent structure. DeepAI’s strengths lie in its simplicity and flexibility for developers who want to experiment with generative AI. The platform supports multiple modalities, such as image and video generation, making it appealing for creative agencies and content creators. However, for sales teams requiring structured lead qualification, automated reporting, or integration with product catalogs, DeepAI’s offering is limited. Additionally, DeepAI does not provide a visual editor for chat widgets, nor does it offer a hosted page or course builder. The platform’s pricing is tiered by usage, with a free tier and paid plans starting at $19/month.

Google Gemini is Google's flagship generative AI platform, offering chat, search, and multimodal capabilities. The Gemini chat product allows users to converse with an AI that can pull in real‑time information and generate responses across a wide range of topics. Gemini integrates tightly with Google Workspace, enabling users to embed the AI into Gmail, Docs, and Sheets. For developers, the Gemini API provides access to the underlying model for custom applications. Gemini’s biggest advantage is its access to Google’s massive knowledge base and frequent updates. The platform supports structured prompts and can be fine‑tuned for specific domains. However, it does not provide a dedicated chatbot builder, visual editor, or dual‑agent architecture. Sales teams would need to build additional layers—such as a front‑end chat interface and a background assistant—to achieve the dual‑agent workflow. Gemini also lacks a built‑in knowledge graph or course builder and does not offer long‑term memory for anonymous users. Pricing for Gemini is not publicly disclosed; Google typically offers free trials with usage limits and then charges based on request volume.

ChatGPT is a conversational AI model developed by OpenAI, available through a web interface and API. It supports natural language dialogue, code generation, and creative writing. The platform offers a powerful GPT‑4 model and an API that developers can integrate into their own applications. For sales teams, ChatGPT can be used to generate scripts, answer FAQs, or draft emails, but it is not a turnkey chatbot solution; teams must build the chat interface, handle user authentication, and implement any knowledge base or integration logic. OpenAI’s strengths are its cutting‑edge language capabilities and extensive documentation. The pricing model is usage‑based: $0.03 per 1,000 tokens for the GPT‑3.5 model and $0.06 per 1,000 tokens for GPT‑4. For organizations requiring advanced customization, OpenAI offers the ChatGPT Enterprise plan with higher limits and dedicated support. The platform does not provide a WYSIWYG editor, dual knowledge base, or built‑in course builder. Long‑term memory is supported only via custom implementation; the platform itself does not retain conversation history across sessions.

Microsoft Power Virtual Agents is a no‑code chatbot platform that allows users to create AI‑powered agents within the Microsoft Power Platform ecosystem. The platform integrates seamlessly with Azure services, Dynamics 365, and Microsoft Teams, enabling bots to handle customer queries and internal help desk tasks. Users can design conversation flows using a graphical interface, and the bot can be published on websites, Teams, and other channels. Strengths of Power Virtual Agents include its tight integration with Microsoft products, a wide range of pre‑built templates, and the ability to trigger Power Automate flows for backend actions. The platform supports a knowledge base that can be linked to Microsoft Dataverse, but it does not feature a dual knowledge base with a knowledge graph. For sales teams, the bot can be configured to qualify leads and capture contact information, but the assistant agent functionality is not explicitly separated. Pricing is tiered: the Standard plan starts at $1,000 per bot per month, with a free trial available. The Enterprise plan offers higher limits and advanced features.