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Audire.ai

Audire.ai offers an AI-powered platform for automated quality assurance and compliance monitoring of customer interactions and internal documents. It uses LLMs to evaluate communications against customizable scorecards, ensuring regulatory adherence and identifying service improvement opportunities.

Dublin, IrelandFounded 20213500+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Businesses struggle to achieve comprehensive oversight of customer interactions and internal documentation, leading to potential compliance risks and inconsistent service quality. Manual review processes are resource-intensive and cannot scale to cover 100% of communications, resulting in missed opportunities for improvement and regulatory adherence failures.

Solution

Audire.ai provides an AI-powered platform for automated quality assurance and compliance monitoring across all customer interactions and internal documents. The system leverages advanced Large Language Models (LLMs) to evaluate communications against customizable scorecards, which can be aligned with specific regulatory frameworks. This enables businesses to achieve full visibility into their operations, identify compliance deviations, and pinpoint areas for service enhancement without increasing headcount. The platform also supports automated workflows and data redaction to streamline processes and maintain data privacy.

Target Audience

The primary customers are quality assurance (QA) and compliance teams within organizations that handle a high volume of customer interactions and require rigorous adherence to regulatory standards.

Features

  • AI-driven evaluation of customer interactions and internal documents against custom scorecards.
  • Utilizes Large Language Models (LLMs) to discern unique business communication requirements and identify compliance risks.
  • Automated workflow builder to initiate actions based on predefined business criteria.
  • Redaction capabilities for call transcripts to remove sensitive personal information, supporting data protection standards.
  • Retrieval-Augmented Generation (RAG) for applying proprietary training materials and policies during assessment.
  • API integrations for seamless data access with file storage and CRM systems.
  • High-accuracy transcription services essential for documenting business communications.
This profile is AI-generated and may contain inaccuracies.