Adlib validates documents and extracted data for accuracy, authenticity, and compliance before they hit your systems and AI models.
Accuracy Score–driven checks catch errors and gaps before they hit your SOR or AI.
Automated rules and PrecisionPaths handle the routine cases; only true edge cases go to experts.
Reviewers focus on low-confidence docs and fields instead of re-checking everything.
Automated checks, Accuracy Score thresholds, and targeted human review catch errors, gaps, and inconsistencies early, so every “document of record” you rely on is trusted, traceable, and aligned to regulatory and internal standards.
Implement automated accuracy checks on structure, content, and key fields. Use Adlib Accuracy Score to flag low-confidence documents, block them from straight-through processing, or route them to experts before they impact downstream decisions.
Apply PrecisionPath industry configurations to validate documents against sector-specific expectations, reducing non-compliance risk and centralizing evidence for audits and submissions.
Detect discrepancies across versions, related documents, and systems of record. Validation rules surface missing, conflicting, or out-of-range values that can create confusion, errors, or regulatory exposure.
Go beyond basic checks with advanced detection that can identify subtle issues, from incorrect entries and mis-keyed IDs to formatting and structural inconsistencies, then highlight them using Accuracy Score so reviewers know where to focus.
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Gain clear visibility into document quality and where to intervene. Adlib aggregates validation results into actionable reports so teams can correct issues quickly and continuously improve upstream processes.
Archive only validated, trusted documents as records of reference. Adlib preserves validation history alongside each document so you can prove integrity long after the workflow is complete.
With Adlib Accuracy Score and PrecisionPath industry frameworks, you can see, prove, and scale extraction accuracy across your highest-stakes processes.
Adlib automates how you compile, format, and finalize controlled documents, from regulatory submissions and ESG reports to quality and batch record packs, so every output is consistent, compliant, and AI-ready.
Adlib converts virtually any document format into standardized, searchable, digital documents of record. The result: consistent, high-fidelity content that’s ready for workflow automation, long-term preservation, and downstream AI.
Adlib automates secure document delivery and captures a complete, auditable trail for every file; what changed, who touched it, where it’s stored, and how confident you can be in the data.
Adlib discovers, captures, and standardizes documents from email, shared drives, line-of-business systems, and more, turning messy, multi-format content into compliant, searchable, AI-ready inputs for your core systems and models.
Adlib validates documents and extracted data for accuracy, authenticity, and compliance before they hit your systems and AI models.
Adlib connects to every system where unstructured data originates, including ECM/DMS, email, shared drives, line-of-business applications, and legacy repositories. It reads and standardizes content from any source, in any format, then scores and validates each document against your business rules with Adlib's Trust Score before handing it off. That validated, defensible output is what feeds the AI-enabled workflow orchestrators and automation systems running downstream, and it's why straight-through-processing rates go up: the systems doing the automating are finally working from data they don't have to double-check.
Whatever system the data comes from, and whatever system acts on it, Adlib sits in between. The Accuracy & Trust layer every workflow can rely on.
Whether you’re scaling GenAI, modernizing regulatory submissions, or simply trying to get out from under manual document work, Adlib helps you turn unstructured content into a reliable asset. Not a hidden risk.