ACT AI Revolutionizes Property & Casualty Claims Leaders Drive for Operational Efficiency
PLYMOUTH, MINNESOTA, September 20, 2023 – SDRefinery AI, a trailblazing leader in operational metrics for the risk and insurance industry, proudly announces ACTAI (Applied Claims Technology AI), a groundbreaking technology designed to empower claims leadership with faster, better measures of key adjuster activities that directly impact claim outcomes and reduce expenses.
Rock Schindler, Founder & CEO of SDRefinery AI, stated, “ACTAI provides claims leadership never-before-possible measures of adjuster actions that drive superior claim outcomes and cost savings. By transforming adjuster narrative documentation into milestones, measurements, and metrics, claims leadership gains consistent, precise measures of activity across entire populations of claim notes.”
ACTAI results enable quicker identification of tactics, tasks, and adjusters in need of redirection, modification, or training, and includes several critical features:
Faster, better identification of process bottlenecks and failures
Compatible with any claim system or documents
High configurability to unique needs
100% transparency from dashboard to granular details
Schindler continued, “We are excited to continue spawning new AI solutions through our Sentence Data Refining process. SDRefinery AI empowers executives with unprecedented access to the wealth of knowledge contained in daily professional documentation, transforming the way claim teams perform.
Clients continue to confirm that the operational measures they receive from SDRefinery AI are transformative in their ability to manage the performance of their claim teams”.
SDRefinery AI drives operational performance improvement for insurance businesses by providing executives with milestones, measurements, and metrics derived from the narrative documentation created by professional staff. Creating metrics from the documentation of facts, circumstances, and decisions documented by staff, yields unprecedented opportunity to continually tune staff behavior to the situations they encounter.