Soroco, Apromore Announce Partnership To Transform Process Optimisation Through AI

Artificial intelligence and interaction data company Soroco and AI-driven process mining and simulation provider Apromore have partnered to help business automation and digital transformation at scale.

The collaboration aims to allow organisations to increase visibility and operational efficiencies by offering a no-code solution to gain understanding of business processes, identify areas for improvement, and achieve better business outcomes.

The partnership brings together Apromore’s process mining platform with Soroco’s Scout AI model to enable enterprises to gain AI-accelerated insights into business processes, including transaction-level insights from ERP systems and human-machine interaction data-driven insights from activities and workloads by teams and individuals.

The Apromore platform is an AI-driven process mining solution that enables business and technology teams to quickly visualise and analyse their business processes and simulate proposed changes in a risk-free digital twin simulation model, assessing impact and risk prior to implementation. Scout AI generates a work graph that maps hidden pains experienced by teams and their impact on business outcomes.

Combined, the solution seeks to deliver end-to-end process optimisation capability that includes discovery, recommendation, simulation and modelling via digital twins, process optimisation, and continuous monitoring.

“The combination of Soroco's Scout AI model with Apromore's process mining capabilities is a powerful solution that aims to provide our joint customers with comprehensive insights into operational performance, enabling them to automate and improve processes, mitigate risks, and unlock value from their data,” said Soroco Chief Executive Officer Samson David.

Marlon Dumas, co-founder and Chief Product Officer at Apromore, added, “Combining task and process intelligence empowers business users to investigate processes at an unprecedented level of detail, context and scale from a macro-level to investigate business performance milestones and KPIs, as well as from a micro-level to investigate individual steps in employee or customer processes that require fixing or that are suitable for automation and improvement.”