Adlib's agents do the admin behind every insurance claim, policy submission, or health authority question in life sciences. They read each document as it arrives and trace every value to its source, so your people spend their time on the decisions only they can make, and those decisions still stand up years later.
In regulated work, the admin piles up in front of the people who make the calls: reading what arrives, finding the evidence, checking it. Adlib moves that work to agents and keeps the record of where every value came from.
Capacity is the problem. AI is how it gets solved, without adding people.
They read what arrives, find what's needed and check it.
Deciding coverage, pricing the risk, writing the health authority response. Not supervising the machine.
Each value carries a trust score and a link to the page it came from, so the AI can be relied on.
Unlike the systems that store documents or the models that answer from them, Adlib is in the path at the moment of reading.
Every value Adlib reads gets a trust score and a link to the page it came from, so anyone can check why.
We sit in front of your repository, not instead of it, and work with the models and platforms you already run.
Adlib's agents read what arrives, check it, and give every value a trust score and a link to the page it came from. Your people work from files they can defend, in the systems you already run.
You bring the model. Adlib works in front of the repository and platforms you already run.
Adlibʼs platform translates, integrates, and secures your documents for AI fast, accurate, and regulation-ready.
Transform 300+ files types for seamless AI ingestion across all major models
Adlib prepares what it reads for the model you choose. Change models without changing how documents are read.
Agents read, match and check what arrives, inside the systems you already run.
Adlib never decides coverage, prices the risk or writes the regulator's answer. Your people do, with the evidence in front of them.
Adlib drives impact in the industries where accuracy and compliance matter most.
Modernize records and FOI/ATI workflows without ripping out your ECM, like SharePoint, FileNet, OpenText, or M-Files. Adlib auto-classifies, validates, and renders mixed inputs into preservation-grade PDF/PDF-A with traceable metadata, so response times and audit readiness improve against mandates like NARA, FISMA, and EO 14110, without standing up a new system of record.
Every FNOL form, police report, adjuster note, and endorsement request that lands in a shared inbox today is manual work tomorrow. Adlib's insurance-native agentic intake turns that inbox into completed tasks automatically, classifying, routing, and extracting data around the clock, in whatever format it arrives. Adlib validates everything against your business rules before it moves forward, so what reaches your adjusters and your AI is accurate and audit-ready, not just fast. It all runs inside the systems you already have, such as Guidewire, Duck Creek, OneShield, Majesco. No new claims platform, no rip-and-replace.
Adlib ingests and validates regulatory correspondence and submission documents at scale, sitting underneath the system you already run, whether that's Veeva Vault, Documentum, M-Files or other core systems, delivering faster, inspection-ready submissions and AI-ready records across TMF, RIM, QMS, and MES, with no platform migration required.
Claim mail on an open claim, a submission waiting for underwriting, a health authority question with the clock running. Adlib's agents read it at the door and keep the record of where every answer came from.
Download Adlib's free guide to AI in life sciences. Learn why AI programs stall in regulated industries, how to build a defensible AI architecture, and what your team needs to know before your next submission.
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Combine life-sciences-native, agentic intake with an Accuracy & Trust Layer to make regulatory correspondence automation fast, compliant, and inspection-ready.
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An executive guide to the architectural shift that determines whether your AI program reaches production, or quietly stalls between the demo and the audit.
See how government agencies can reduce paper backlogs, improve transparency, and build more auditable, AI-ready records operations.
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How insurers can turn messy claim documents into trusted, AI-ready data, so automation actually works.
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Stop paying the “trust tax” on AI. Learn how a Document Accuracy Layer makes content AI-ready (readable, validated, traceable, and audit-ready) with a practical AI-readiness checklist.
Turn unstructured insurance content into AI-ready, audit-ready pipelines that boost accuracy, STP, and compliance confidence.
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Veeva Vault is the system of record your regulated content lives in. This guide covers what sits beneath it: the formatting, assembly, and inbound-content work that eats your filing timeline today, what regulators are asking for as AI use accelerates, and where the validation obligation lands when you add anything to a validated environment.
