Getting Real About AI in Title: Where the Work Actually Goes
Published on ALTA.org on July 16, 2026 By Jimmy Lewis and Sridhar Loganathan As artificial intelligence and robotic process automation reshape the title industry, title…
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Published on ALTA.org on July 16, 2026 By Jimmy Lewis and Sridhar Loganathan As artificial intelligence and robotic process automation reshape the title industry, title…
View →Published on StreetInsider.com on August 3, 2026 Title examiners often spend a significant portion of their workday handling repetitive clerical tasks like document retrieval, data…
View →Discover how Title Miner® uses AI and intelligent data extraction to eliminate manual entry, automate document processing, and streamline title production workflows.
View →RPA and AI solve different parts of the title workflow. RPA is strongest when the process is deterministic and system-driven, while AI is useful for…
View →Automation can execute perfectly and still produce poor outcomes when the underlying data is inconsistent. Before development begins, teams should profile historical formats, indexing conventions,…
View →Production automation needs operational ownership after go-live. Maintenance includes monitoring failures, adapting to website and application changes, reviewing exception queues, documenting updates, and measuring whether…
View →The most useful automation removes repetitive work and expands team capacity rather than eliminating judgment-heavy roles. Strong implementations redirect experienced staff toward exceptions, customer service,…
View →A production system may automate steps inside one application while leaving the handoffs around it manual. End-to-end automation starts by mapping the entire workflow, including…
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