QPR Agentic Process Intelligence - The Context Layer for Enterprise AI
Making AI real for business starts with operational context.
AI agents can reason, generate insights, and automate work — but without understanding how business processes actually operate, AI remains fragmented and unreliable.
QPR Agentic Process Intelligence gives enterprise AI agents the operational context they need to act with confidence.
Using QPR’s new MCP (Model Context Protocol) interface, AI agents such as ChatGPT, Claude, and Microsoft Copilot can directly access process intelligence generated from enterprise operations — including bottlenecks, deviations, KPIs, process flows, and business rules.
This enables organizations to move from dashboards and disconnected insights to AI-powered operational action — directly within the tools employees already use.
Why Meet QPR at Snowflake Summit?
Discover how to:
- Bring trusted process intelligence directly to AI agents
- Make enterprise AI more explainable, governed, and business-aware
- Turn operational data into actionable insights in natural language
- Enable AI to understand, analyze, and improve real business processes
- Unlock more value from your Snowflake AI Data Cloud investments
QPR Process Intelligence. Native to Snowflake.
QPR Process Intelligence Platform runs natively in Snowflake and is available as a native application on Snowflake Marketplace — enabling organizations to bring trusted process intelligence directly into the Snowflake AI Data Cloud.
Meet QPR at Snowflake Summit
June 1–4, 2026
Moscone Center, San Francisco
Contact
Matti Erkheikki, CEO