Apromore

Tracks and monitors deployed agents' performance metrics and compliance adherence in production environments for continuous improvement.

Enables risk-free testing of AI agent automation scenarios through what-if simulation, allowing ROI estimation and impact assessment before production deployment.

End-to-end platform supporting the discovery, design, simulation, deployment, and monitoring of AI agents across business processes.

Continuous monitoring system that tracks AI agent performance and compliance in production environments for ongoing improvement and risk management.

Strategic compliance management tool for contact centers that helps organizations proactively manage regulatory requirements and reduce compliance risks across operations.

Generative AI copilot that provides conversational intelligence across the process improvement lifecycle, enabling natural language interaction with process models and analytics.

Platform that bridges operational excellence and AI-driven solutions by supporting the full lifecycle of agentic AI automation from discovery through deployment to monitoring.

Risk-free simulation environment that tests agentic automation opportunities through what-if scenarios to estimate ROI and understand downstream process effects before deployment.

Task mining capability that captures and analyzes manual steps performed in desktop applications, providing desktop-level visibility into user routines to identify efficiency improvements and automation opportunities.

Proactively manages regulatory compliance requirements and monitors compliance posture across automated workflows and business processes.

Multi-system data integration capability that connects to various enterprise applications (Salesforce, SAP, and others) to collect transactional data for process mining analysis.

AI copilot designed for process optimization that provides insights into process performance metrics and recommends AI-driven optimizations.

Monitors process performance and predicts deviations from expected KPIs to enable proactive process management.

Analyzes transactional data to understand business processes, identify friction points, bottlenecks, and compliance issues, enabling optimal placement of AI agents within workflows.

Analyzes transactional business process data to identify friction points, bottlenecks, and optimization opportunities for agentic AI deployment.

Enables risk-free testing of agentic automation scenarios with what-if analysis to estimate ROI and understand downstream process impacts before deployment.

Captures desktop-level visibility into manual steps performed within applications. Turns 'invisible' user routines into actionable insights to improve task efficiency and automation initiatives.