Cignara

What is Cignara?

Cignara is an enterprise customer support platform that uses conversational AI to handle support interactions across phone and chat. It is designed to reduce the load on contact centers by resolving common customer requests end to end and by giving human agents real-time assistance when conversations require staff involvement.

The product is positioned for large B2C enterprises that need their support workflows to reflect proprietary products, service policies, brand voice, and compliance requirements. It also includes a knowledge graph approach that connects product, service, order, and policy information from multiple sources so AI responses can draw from a centralized enterprise knowledge base.

Key Features

• Conversational AI agents for phone and chat, so customers can ask questions and complete common support tasks in the channel they already use.
• Voice support agents that interpret intent and handle more complex call scenarios, which helps route or resolve requests without manual back-and-forth.
• Chat support agents that answer questions, troubleshoot issues, and complete workflows with the same process logic used by staff.
• AI copilot for human staff, which surfaces relevant answers, policies, or next actions in real time to support faster responses and better consistency.
• Enterprise knowledge graph built from data across departments, IT systems, PDFs, and partner portals, giving AI a structured base for product, order, service, and policy information.
• Process and script support for complex enterprise workflows, including documented rules, SOPs, and call flows that vary by factors such as geography, membership level, or account status.
• Enterprise-oriented deployment controls, including a privacy-first approach and a stated SOC 2 and privacy-first posture on the website.

How to Use Cignara

A typical rollout starts by connecting the organization’s support content and operational data, such as product documentation, service rules, order data, and policy documents. Cignara then organizes that information into a knowledge graph that can support AI conversations and staff assistance.

Teams can configure agent and copilot behavior around existing processes, scripts, and common support scenarios, then deploy the system on phone or chat. From there, support leaders monitor how AI handles customer requests, while human staff use the copilot to look up answers and next steps during live conversations.

Use Cases

• Deflecting common support requests such as plan changes, billing questions, refund requests, order tracking, and basic technical support through conversational agents.
• Handling voice support queues where callers need intent detection, structured workflows, and accurate completion of routine actions.
• Supporting chat-based customer service with agents that can troubleshoot problems and finish common workflows without moving the customer to a separate channel.
• Assisting human representatives with real-time guidance when they need policy details, the correct next step, or help responding in another language.
• Standardizing responses across large enterprise support teams that work from detailed scripts, procedures, and account-specific rules.

FAQ

Does Cignara work for both phone and chat? Yes. The site describes AI agents for both phone and chat, including separate voice and chat support agents.

Is Cignara only for automated customer service? No. It also includes an AI copilot for human staff, which is meant to help existing support teams answer customers faster and more accurately.

What kind of data does Cignara use? The product page says it can digitize and connect data from multiple sources, including departments, IT systems, PDFs, and partner portals, and turn it into a knowledge graph.

Is Cignara aimed at small businesses? The page positions it for large B2C enterprises with complex support workflows, policies, and compliance requirements.

Does the page mention integrations or pricing? No. The provided content does not list pricing details or specific integrations.

Alternatives

• Traditional help desk platforms with automation features: These are often centered on ticketing and case management, while Cignara is positioned around conversational resolution on phone and chat.
• General-purpose chatbot platforms: These may be used for basic customer interaction, but Cignara emphasizes enterprise support workflows, structured policies, and staff assistance.
• Contact center software with AI add-ons: These tools usually focus on routing, agent tooling, or call handling, whereas Cignara is framed as an AI layer for support conversations and knowledge-driven responses.
• Internal knowledge base tools: These help staff find information, but Cignara combines that knowledge layer with customer-facing agents and a copilot for live support work.