ABBYY Timeline is a Process Intelligence platform featuring advanced task and process mining technology. ABBYY allows businesses to utilize the latest and greatest innovation in artificial intelligence to automatically build an interactive digital twin of their processes, analyze them in real-time to identify bottlenecks, and predict future outcomes to facilitate decision-making of technology investments.
Enterprises continue to face rising challenges when it comes to quickly and accurately process content such as documents, forms, images, and email communications. Employees are continuously being dedicated to performing these error-prone tasks of processing content, and not without an impact on operations and customer experience.
ABBYY Task Mining capabilities discover, analyze, monitor, and predict process behavior by extracting and combining knowledge from desktop activities and event logs related to human-centered, case-based processes with a high degree of variability. This feature of ABBYY Process Intelligence enables organizations to see where repetitive and inefficient tasks are slowing down their processes and allocate resources in the right places to resolve them, thereby reducing process friction, improving customer service, and accelerating digital transformation.
The vast majority of process execution today is tracked, managed, and performed through any number of IT systems of record. That means you already have a record of just about every aspect of any of your processes. You just need the right tool to recreate an end-to-end view of process execution. Traditional business intelligence tools, dashboards, and reports can’t create this for you. ABBYY Timeline can.
When properly ingested, merged, and analyzed, this wealth of data can be used to discover patterns and insights that illuminate paths to better customer experiences and new operational efficiencies. By applying advanced artificial intelligence and machine learning, you can predict and forecast processes into the future, while optimizing business operations through real-time monitoring.
The future of work requires us to think about work in a more fluid way. We must reimagine the way work gets done, across multiple people, machines, and interactions. Breaking work down into tasks is the most sustainable way to segue into a sustainable hybrid human and machine workforce.
For the first time, enterprises are able to automate content-based processes involving structured and unstructured content and extract the meaningful information needed to make processes run optimally and make intelligent business decisions – without requiring individuals who have specialized training in technologies like OCR and machine learning.
You already have all the data you need – isn’t it time to put it to work?
Connecting user task data, system logs, and business data enables true business transformation connecting people, processes, and data that you need to mine task and understand employee interactions within user interfaces.
ABBYY Task Mining Capabilities analyzes desktop user interaction data and seamlessly links it with process details mined from system event data, enabling organizations to enhance operational efficiency, improve customer experience, and accelerate impactful digital transformation initiatives.
The addition of these new capabilities to ABBYY’s Digital Intelligence platform will allow organizations to better identify, design, implement and monitor their RPA, Analytic Process Automation, and Intelligent Document Processing initiatives so they can realize the greatest returns on those investments.
Rapidly reveal how every occurrence of every process is executed, including even the most ad-hoc, variable workflows.
Easily identify, quantify, and target the highest-impact process instances for digital transformation or automation initiatives.
Automatically generate a foundation for data-driven decisions with quantifiable process metrics, including cost, duration, and volume.
Simply and quickly pinpoint the root cause of non-compliant, unusual, or high-cost processes.
Easily define complex scenarios and automatically detect them as they occur, triggering remediation efforts.
Use early stage data to predict process outcomes and proactively plan or act.
Explore the four steps to process transformation.
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With best regards,
The ABBYY Team