Apromore, a global leader in process intelligence and AI-driven business process optimization, announced the launch of Copilot for Performance Insights, the latest addition to its generative AI assistant portfolio and a key new capability in the version 10.4 platform update. Purpose-built for business landscape with rising cost pressure, compliance risk, and expanding customer expectations, Copilot for Performance Insights helps business and operations leaders rapidly uncover process bottlenecks, benchmark team performance, and prioritize agentic automation opportunities using insights grounded in data.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Apromore Copilot transforms process optimization into a conversation, so leaders can quickly diagnose what’s wrong, learn from what’s working, and act with speed and confidence

With Copilot for Performance Insights, Apromore continues to expand its vision for AI-assisted, data-driven process optimization. Business users can now ask natural-language questions for diagnostic and comparative performance analysis, such as:

• Which region has the slowest claim resolution times, and can this be attributed to higher rework?
• Are email claims more prone to rework than online ones in Q2 2025?
• Where do we have role capacity bottlenecks?
• For 2025 Q1 claims with claim value exceeding $10K, which channel experienced the highest rework rate?

Apromore Copilot delivers clear, reproducible answers backed by advanced statistical methods. Organizations can instantly compare performance across regions, channels and product lines, helping executives cut costs, accelerate SLA compliance and scale customer-centric best practices across the enterprise.

Marketing Technology News: Time to Start Holiday Marketing is Now

Practical Solutions, Real Results

Early adopters are already seeing measurable gains. One global insurance provider reported a substantial reduction in rework rates within two months of piloting Apromore Copilot for Performance Insights. Another financial services firm used Apromore Copilot to identify best practices across five regions, cutting complaint resolution time and reducing error rates.

“Executives don’t want more dashboards, they need answers they can trust,” said Apromore Co-Founder and CPO Prof. Marlon Dumas. “Apromore Copilot transforms process optimization into a conversation, so leaders can quickly diagnose what’s wrong, learn from what’s working, and act with speed and confidence.”

Expanding the Copilot Portfolio

Since its introduction in 2024, Apromore Copilot has evolved into a trusted AI assistant, with expanded capabilities tailored to business and operational needs. The portfolio now includes:

• Copilot for Process Discovery: Streamline “as-is” process discovery and analysis via a natural language and conversional interface.
• Copilot for Simulation: Test “what-if” scenarios to predict KPI impacts.
• Copilot for Process Optimization: Recommend prescriptive actions to prevent KPI breaches.
• Copilot for Performance Insights: Benchmark performance and surface hidden best practices.

Together, these capabilities make enterprise-grade AI-driven process intelligence accessible to non-technical users, enabling business users to navigate models, diagnose compliance risks, and optimize processes simply by asking questions.

Trusted Innovation, Enterprise-Ready

Unlike generic analytics or AI chatbots, Apromore Copilot combines the ease of generative AI with the capabilities of process mining and simulation. Every recommendation is explainable, reproducible, and auditable.

“As AI matures, the differentiator isn’t just intelligence, it’s trust. With Copilot for Performance Insights, we’re making AI actionable, auditable, and enterprise-ready,” said Brandee Sanders, Chief Marketing Officer at Apromore.

What’s New in Apromore

The release of Copilot for Performance Insights is part of the latest release of Apromore (version 10.4), which also introduces:

• Task Screenshot Capture-and-Replay: Automatically capture and replay user interactions correlated to specific tasks or steps in a process for faster, more accurate and contextualized task analysis.
• Process Model Syntax & Style Checker: Validate process models automatically for compliance with modeling standards.