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
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.
The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...
The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...
Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...
If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...