Operative Intelligence is an AI-powered analytics platform that automates the analysis of customer interactions across various communication channels to extract actionable insights. It enables contact centers to identify root causes of inquiries, improve agent effectiveness, and enhance customer satisfaction, resulting in measurable reductions in average handle time and support costs.
Funding
$3.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
BVFounders
Product
Problem
Contact centers struggle to efficiently analyze vast amounts of customer interaction data across multiple channels to identify the underlying reasons for customer inquiries. Manual analysis is time-consuming, prone to bias, and fails to provide real-time, actionable insights for improving agent performance and customer satisfaction.
Solution
Operative Intelligence (OI) is an AI-powered analytics platform that automates the analysis of customer interactions from voice, chat, email, and other channels. The platform uses machine learning to identify the root causes of customer inquiries, quantify customer sentiment, and measure agent effectiveness. By automatically extracting insights from customer conversations, OI enables contact centers to optimize self-service options, personalize customer experiences, and improve first contact resolution rates. The platform provides a comprehensive view of customer needs, allowing businesses to make data-driven decisions that reduce support costs and increase customer lifetime value.
Target Audience
The primary target audience includes contact center executives, operations leaders, product managers, and customer experience professionals seeking to improve contact center performance and customer satisfaction through data-driven insights.
Features
- Automated root cause analysis of customer inquiries, identifying L1-L5 reasons without manual tagging
- Sentiment analysis to gauge customer satisfaction levels across different interaction types
- Agent effectiveness metrics, including resolution rates, average handle time, and compliance scores
- Identification of opportunities to improve self-service and reduce contact center volume
- ROI analysis built into the insights, quantifying the potential cost savings and revenue gains
- Integration with CCaaS platforms via API to capture interaction data automatically
- Customizable dashboards and reports for different stakeholders, including executives, team leaders, and agents
- Secure data redaction to protect sensitive customer information