
Knoa Software announced two major product enhancements for its task mining solution available on the SAP Store: support for the upcoming SAP Signavio AI-assisted process analyzer capability (currently in beta testing) and monitoring coverage for non-SAP applications, extending its current range beyond SAP applications.
Together, these new capabilities will offer SAP customers unprecedented insights into end-to-end process execution and the ability to drive transformational changes within their SAP and non-SAP business processes. Both product features will be available to all Knoa customers as part of the standard Knoa solution.
Along with these new capabilities, Knoa is committed to continued support for and alignment with SAP’s AI strategy, including measuring adoption of SAP AI copilot Joule, to provide customers with the analytics they need to optimize their AI usage, as well as leveraging Joule with the Knoa data, to deliver next generation task mining capabilities.
The first product enhancement delivers AI-powered business process observability to SAP customers based on combined Knoa task mining and SAP Signavio process mining data. It builds on the integration between the Knoa and SAP Signavio solutions and it leverages the AI-assisted process analyzer capability, planned for the upcoming release of the SAP Signavio Process Transformation Suite. This new capability enables customers to use natural language to obtain immediate insights about the health of their business processes, democratizing process mining to business users. With this new capability, process analysts can rapidly gather the relevant insights about how a process is performing and identify areas for improvement, efficiency, compliance and user adoption.
“The foundation of any AI algorithm is the data that it learns from – and this is why the combination of SAP’s 50+ years of accumulated knowledge and SAP Signavio’s process expertise represent a great differentiator to our AI proposition. By integrating with Knoa task mining, we add an additional dimension to the data we analyze, which will help generate unique process insights and drive decisions that maximize customer value and experiences,” said Naqvi, Syeda Noor Zehra, Director Product Management, AI at SAP Signavio.
This capability is currently available for beta testing and will be available for production release in Q4, 2024, with the upcoming release of the SAP Signavio Process Transformation Suite.
“We are very excited to be at the forefront of Signavio’s AI transformation journey which lets customers harness the power of generative AI. Knoa and SAP Signavio customers who leverage the integration between the two products will be able to use SAP Signavio’s process analyzer capability with the combined Knoa task mining and SAP Signavio process mining data, to achieve end to end observability of SAP business processes,” said Bogdan Nica, VP of Product at Knoa Software. “With this new capability, business users can immediately access the Knoa’s task mining insights to identify process improvement opportunities related to user proficiency, adoption, and compliance, in support of business process transformation initiatives.”
The second product enhancement delivers task mining visibility into non-SAP applications, enabling discovery, monitoring, and measurement of business process execution across the entire enterprise ecosystem. By leveraging Knoa’s task mining solution across a broad set of business and productivity applications, companies can identify process improvement opportunities, monitor process compliance, and design automation strategies based on a holistic and user-centric view of as-is processes. Read more about this enhancement in the SAP Community blog: Enhanced Knoa Task Mining Solution Enables Complete Business Process Observability.
This new capability reflects the strategic alignment between Knoa and SAP Signavio solutions, aimed at delivering complete observability for critical business processes across both SAP and non-SAP applications.
"Our commitment to our customers at SAP Signavio is to enable them to reach their full potential through enterprise-wide process observability. With the integration of Knoa's task mining solution, we are enhancing comprehensive process observability by including visibility into user interactions across SAP and non-SAP, enterprise and productivity applications," said Fabio Ferrari, Senior Product Manager, SAP Signavio Process Intelligence.
This enhanced capability of the Knoa task mining solution gives customers the ability to discover non-SAP application usage in their environment, such as productivity tools, initially for browser-based applications, to be followed by support for client-based applications. The solution also enables customers to define what level of monitoring they want to perform for any discovered applications, in accordance with organization and industry privacy and security standards. SAP customers embarking on digital transformation initiatives can leverage Knoa’s task mining solution to achieve multiple business benefits, including optimizing business processes, automating tasks, rationalizing applications, ensuring process compliance and security, and enhancing workforce productivity. To explore these benefits in more detail, see Transform your Business Operations with Comprehensive Knoa Task Mining.
The Latest
Significant improvements in operational resilience, more effective use of automation and faster time to market are driving optimism about IT spending in 2025, with a majority of leaders expecting their budgets to increase year-over-year, according to the 2025 State of Digital Operations Report from PagerDuty ...

Are they simply number crunchers confined to back-office support, or are they the strategic influencers shaping the future of your enterprise? The reality is that data analysts are far more the latter. In fact, 94% of analysts agree their role is pivotal to making high-level business decisions, proving that they are becoming indispensable partners in shaping strategy ...
Today's enterprises exist in rapidly growing, complex IT landscapes that can inadvertently create silos and lead to the accumulation of disparate tools. To successfully manage such growth, these organizations must realize the requisite shift in corporate culture and workflow management needed to build trust in new technologies. This is particularly true in cases where enterprises are turning to automation and autonomic IT to offload the burden from IT professionals. This interplay between technology and culture is crucial in guiding teams using AIOps and observability solutions to proactively manage operations and transition toward a machine-driven IT ecosystem ...
Gartner identified the top data and analytics (D&A) trends for 2025 that are driving the emergence of a wide range of challenges, including organizational and human issues ...
Traditional network monitoring, while valuable, often falls short in providing the context needed to truly understand network behavior. This is where observability shines. In this blog, we'll compare and contrast traditional network monitoring and observability — highlighting the benefits of this evolving approach ...
A recent Rocket Software and Foundry study found that just 28% of organizations fully leverage their mainframe data, a concerning statistic given its critical role in powering AI models, predictive analytics, and informed decision-making ...
What kind of ROI is your organization seeing on its technology investments? If your answer is "it's complicated," you're not alone. According to a recent study conducted by Apptio ... there is a disconnect between enterprise technology spending and organizations' ability to measure the results ...
In today’s data and AI driven world, enterprises across industries are utilizing AI to invent new business models, reimagine business and achieve efficiency in operations. However, enterprises may face challenges like flawed or biased AI decisions, sensitive data breaches and rising regulatory risks ...
In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions....
There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...
