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The Conversation Intelligence Cloud for scaling 100% QA and real-time agent performance.

Observe.AI is a category-leading Conversation Intelligence platform designed for the modern contact center. Its technical architecture leverages proprietary Large Language Models (LLMs) and Generative AI to analyze 100% of customer interactions across voice and text channels. Unlike traditional sampling methods, Observe.AI provides a comprehensive data layer that automates Quality Assurance (QA) workflows, redacts PII/PCI data for compliance, and generates post-call summaries to reduce After-Call Work (ACW) by up to 80%. By 2026, the platform has solidified its market position as a primary orchestrator of Agent Performance Management, moving beyond simple transcription into predictive behavioral modeling. Its Real-Time AI engine provides live-agent assistance, surfacing relevant knowledge base articles and sentiment-driven talk tracks during active conversations. The platform integrates deeply with CCaaS leaders like Genesys, Talkdesk, and Zoom, creating a closed-loop system where conversational data informs executive-level business intelligence. Its 2026 roadmap emphasizes 'autonomous coaching'—where the AI identifies skill gaps and pushes personalized micro-learning modules to agents without human supervisor intervention.
Observe.
Explore all tools that specialize in automate quality assurance. This domain focus ensures Observe.AI delivers optimized results for this specific requirement.
Explore all tools that specialize in summarize conversations. This domain focus ensures Observe.AI delivers optimized results for this specific requirement.
Explore all tools that specialize in speech analytics. This domain focus ensures Observe.AI delivers optimized results for this specific requirement.
Uses fine-tuned LLMs to generate structured, human-like summaries of every call, identifying problem, action, and resolution.
Low-latency stream processing that monitors live calls to trigger on-screen prompts based on customer intent.
Machine learning models that score every interaction against customized rubrics without human input.
Domain-specific acoustic and language models optimized for contact center terminology and diverse accents.
Pattern recognition engine that detects specific behaviors, such as 'Dead Air,' 'Empathy,' or 'Supervisor Escalation' automatically.
Deep learning NLP models identify and scrub sensitive digits (SSN, CC) from both audio and text.
Unified data processing for voice, chat, email, and social messaging interactions.
Connect CCaaS or telephony provider via native integration (e.g., Genesys, Talkdesk).
Configure historical data ingestion for baseline sentiment and intent training.
Define QA rubrics and automated scoring criteria within the platform.
Set up PII/PCI redaction parameters for data security and compliance.
Train custom 'Moments' to track specific keywords, intents, or behaviors.
Integrate with CRM (Salesforce/Zendesk) to map conversation data to customer records.
Configure Real-time AI triggers for live agent assistance notifications.
Deploy the Agent Performance module to individual teams and supervisors.
Establish API endpoints for pushing insights into external BI tools.
Run a 30-day pilot to calibrate automated QA accuracy against human auditors.
All Set
Ready to go
Verified feedback from other users.
"Users praise the platform for its intuitive UI and the massive time savings in QA, though some find the initial setup of custom 'Moments' to require significant fine-tuning."
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