ABBYY Timeline Reviews & Product Details

ABBYY Timeline is a cloud-based, AI-driven process mining platform featuring advanced process discovery, analysis, monitoring, simulation, and task mining. ABBYY’s solution uses the latest AI to enable enterprises to automatically build an interactive digital twin of business processes, revealing inefficiencies and process bottlenecks. With this insight, they can apply automation where it will have the greatest impact and predict future outcomes. ABBYY Timeline is used by enterprises in many different industries, maximizing the wealth of data contained in enterprise systems to help discover patterns and insights that illuminate paths to better customer experience and new efficiencies. Enterprises use ABBYY Timeline to: • Save millions of dollars in manual process analysis while drastically reducing costs associated with compliance risks • Reduce time to identify opportunities for automation by 50% • Achieve 85% faster reporting and production planning time • Reduce cycle time by 30% with process redesign Use cases for process intelligence In any industry, incorporating process intelligence in a digital transformation strategy enables organizations to assess the future impact of proposed changes, manage the transition more effectively, ensure the performance of the implemented automation steps, and provide a feedback loop for continuous improvement. Businesses across industries are using process intelligence to drive results in a variety of use cases. Healthcare Hospitals and other healthcare providers can leverage process intelligence to improve patient experiences and clinical effectiveness, maintain quality standards, and avoid compliance risks. They can facilitate compliance by monitoring clinical operations in real time, while proactively alerting staff when protocols are not followed, or process deviations are detected. Banking Process intelligence enables banks and other financial institutions to drive digital transformation and support risk and regulatory compliance priorities. They can analyze transaction data in near-real time to improve customer service, increase reporting accuracy, and reduce the risk of costly errors. Process monitoring helps them ensure that SLAs, compliance mandates, and legislative requirements are maintained, reducing the risk of costly mistakes that might otherwise be overlooked. Insurance Insurance companies can use predictive analytics to drive risk evaluation, risk selection, and underwriting decisions. They can improve compliance with automated monitoring and remediation while also realizing productivity gains by enabling straight-through data processing. Process analytics deliver business value for internal staff, contract adjusters, third-party support organizations, and other partners.