AI orchestrated in business processes: maturity model and roadmap with AuraQuantic iBPMS
Introduction
Almost every company now has an artificial intelligence pilot project—whether it’s a customer service chatbot, a document classifier, or an assistant that drafts responses. Yet, very few have managed to get that AI to operate reliably within their critical business processes.
The QKS Group’s 2026 AI Maturity Matrix for the Intelligent Business Process Management Suites (iBPMS) market highlights this gap. The conclusion is clear: while many vendors allow for the integration of AI models, few are capable of orchestrating the right AI for each specific use case, measuring its economic impact, and overseeing autonomous agents.
In this assessment, AuraQuantic was recognized as an "MVP" and a leader in orchestrated AI—the strongest position on the matrix. This whitepaper translates QKS’s criteria into a practical framework for organizations. It includes a four-level maturity model, a self-assessment tool, and a roadmap for integrating AI into your processes using AuraQuantic, with support from Rootstack.
In this whitepaper, we will cover:
- The gap between AI pilot projects and real-world operations.
- What the QKS Group AI Maturity Matrix evaluates, and why AuraQuantic is ranked as an MVP.
- A four-level maturity model and a self-assessment tool.
- How to incorporate autonomous agents, along with a 12-month implementation roadmap.
We invite you to read the document and reach out to us with any questions you may have.
