Observe.AI has unveiled innovative generative AI features aimed at transforming how contact center leaders enhance revenue, retention, and operational efficiency. This new release emphasizes rapid deployment and enterprise-ready workflows, enabling contact centers to see returns on AI investments in as little as three weeks.
“Our enterprise customers have spent decades building their reputations and aren’t willing to invest in unproven technologies that miss critical insights or require tedious implementations that stall and fail. Observe.AI is empowering contact centers to derive accurate conversation insights that enhance real-time agent guidance, call summarization, Auto QA, and business analytics. We’re bringing our customers to value faster, easier, and more securely,” said Swapnil Jain, CEO and Co-Founder of Observe.AI.
Unlike previous conversation intelligence methods that relied heavily on keywords and phrases for narrow insights, this new release addresses the challenge of deriving insights from complex reasoning and broader subjective questions. Observe.AI enables users to employ natural language prompts to gain nuanced, subjective, and ambiguous insights.
For instance, contact centers can now easily answer questions like “Did the agent respond appropriately to customer objections?” or “Did the agent ask probing questions to understand the customer’s issue?” These insights enhance Auto QA, coaching, and real-time agent guidance, delivering the speed and performance required by enterprise contact centers. This means leaders no longer have to deal with incomplete or inaccurate insights or slow, complicated implementations.
Observe.AI's latest GenAI capabilities for Real-Time AI and Post-Interaction AI enable contact centers to:
- Achieve the most extensive Auto QA coverage in the industry, providing detailed insights into both precise and objective elements, as well as more nuanced, subjective, and complex aspects of customer interactions.
- Fully tailor after-call notes to meet the specific requirements of each contact center, structuring summaries with fields that include details such as competitors, offers or products mentioned, answers to choice-based questions (e.g., "Was customer sentiment positive or negative?"), and formatted text in paragraphs or bullet points.
- Personalize real-time guidance and knowledge assistance to enhance agent performance, productivity, and compliance.
Elsewhere, Observe.AI has introduced a new generative AI product suite that aims to supercharge agent productivity through the company's proprietary large language models (LLMs) trained on a domain-specific dataset of millions of customer interactions.
