Rich Call Data for Training AI Agents (Agentforce)

Structured call data, notes, and outcomes are captured for every interaction, enabling training and optimization of AI tools like Agentforce.

Complete Call Records

Unaric Voice captures every call in Salesforce as a detailed activity record. Each entry includes direction (inbound or outbound), duration, call result, phone notes, wrap-up codes, and linked objects like contacts, cases, or opportunities. This consistent, structured data forms the foundation for training models like Agentforce - giving AI systems access to the context and outcomes needed to deliver high-quality recommendations and automations.

Outcome-Based Wrap-Ups

Every call can be categorized using customizable wrap-up codes such as Voicemail, Meeting Scheduled, or Transferred to Support.

These call results are stored in a dedicated field and appear in the subject line of the task. They help Agentforce understand what happened during the call - not just that it occurred - enabling smarter insights and behavior modeling based on actual business outcomes.

Phone Notes for Sentiment and Intent

Agents can enter notes during or after a call directly in the Unaric Voice SoftPhone.

These notes are stored in the activity log and can be copied to follow-up tasks. For AI training, this layer of unstructured, human input offers valuable signals about customer sentiment, objections, and context - making it easier for Agentforce to analyze tone, intent, and next best actions across high volumes of interactions.

Clean, Structured Training Data for Training AI

Unaric Voice uses Salesforce-native task records and field structures, and as such, provides a clean, standardized dataset for Agentforce and other AI tools.

Admins can export this data or feed it directly into Salesforce reports, flows, and third-party analysis tools. Whether you're training models for sales, support, or QA, Unaric Voice ensures your foundation is accurate, complete, and actionable.