Fully configurable AI Agents

A Custom AI Agent in Praiz is a no-code, configurable agent that you design to analyze conversations based on your exact business needs. You can define the specific information you want to extract from calls — such as customer pain points, qualification criteria, competitors, or product feedback — by creating your own analysis structure.

You can also decide how this data is structured and where it should go, including mapping extracted insights directly to specific fields in your CRM or internal tools. This allows you to turn conversations into structured, actionable data that fits seamlessly into your existing workflows.

Instead of generic outputs, each agent follows your own logic to extract and analyze only the signals that matter to your business.

Custom AI Agents work by automatically analyzing conversations based on the instructions you define. Once configured, they run in the background and process calls at scale without manual input.

Agents can be assigned to conversations using filters, and multiple agents can analyze the same call simultaneously, each focusing on a different type of insight. This allows you to capture multiple layers of information from every conversation.

After each call, the assigned agents automatically process the conversation, extract insights, and generate structured outputs. This data can then be sent to your CRM, used in reports, or leveraged in features like Praiz Insights to identify trends and patterns across conversations.

You can analyze any type of information mentioned in conversations, depending on how your agent is configured. This includes customer pain points, objections, competitors, pricing discussions, feature requests, churn signals, or qualification criteria.

Custom AI Agents are flexible and not limited to predefined templates. This means you can track any business signal that is relevant to your team and ensure it is consistently captured across all conversations.

Yes, Custom AI Agents are fully customizable and designed to match your specific business needs. You define what information to extract, how the agent should interpret conversations, and how the output should be structured.

This allows you to standardize your analysis across all conversations and ensure that every call is processed using the same logic. As a result, you get consistent, reliable data that fits your workflows and can be directly used by your teams.

Custom AI Agents help sales teams capture and analyze key information from every call, such as customer needs, objections, competitors, and buying signals. By structuring this data at scale, teams can identify patterns in what drives successful deals.

These insights can be used to improve sales messaging, refine qualification, and provide more targeted coaching. Over time, this leads to more consistent execution and higher win rates across the team.

Setting up a Custom AI Agent is simple and fully no-code. You define what you want to extract from conversations by writing clear instructions, just like you would explain the task to a human.

You can specify the exact information to capture, add your own business vocabulary or definitions, and describe how the agent should interpret the conversation. You can also define how the output should be structured and where it should be sent, including mapping the data to specific fields in your CRM or other tools.

Most AI tools provide generic outputs like transcripts, summaries, or basic analysis that are the same for every user. Custom AI Agents, on the other hand, are designed to perform specific analysis tasks based on your business needs.

They act like specialized analysts that follow your instructions and extract only the insights that matter to your team. Instead of adapting your workflow to the tool, you configure the agent to match your own processes, definitions, and goals.

This makes the analysis more relevant, more consistent, and directly usable by your teams. It also allows you to standardize how conversations are analyzed across your organization, ensuring that everyone works with the same structured data and insights.

Custom AI Agents turn conversations into data by analyzing calls based on your predefined instructions and extracting specific signals from each interaction. Instead of leaving insights buried in conversations, they structure this information in a consistent and usable format.

This transforms unstructured conversations into reliable data that can be used across your organization. As a result, teams can analyze trends, generate insights, and make decisions based on real customer interactions.