Access and assemble unstructured data into archive-ready documents.
Automate error-prone, time-consuming, manual documentation processes.
Seamless integration with employee and public record-keeping systems.
and ingest data from internally-focused and public-facing documentation.
any file format into readable, searchable, NARA-compliant PDF/A files.
and assemble multiple files into cohesive, digitally-tagged documents.
documentation by adding headers, footers, watermarks, and tables of contents.
and save files into user-specified folders for downstream processing.
When the agency needed to manage and preserve over 11 million historical and governmental records from multiple government departments, the federal agency turned to Adlib.
As part of an effort to create efficiencies through documentation automation, Adlib provided this city administration with an automated solution for rendering and assembling employee payroll records from multiple sources.
This federal agency chose Adlib to deliver a reliable and scalable solution for storing, sharing, and archiving classified communication documents in accordance with NARA guidelines.