Rigid document types
Every new document category means code changes, testing and a release — weeks of lead time for what should be a configuration.
A metadata-driven document platform for insurance operations: capture, retrieve, govern and scale — without a release cycle. New document types are configuration, live the same day.
Overview
Documents arrive from any channel, are indexed against a configurable document class, stored on the cloud provider you choose, and returned only to users entitled to see them.
Proposal and KYC documents, underwriting evidence, claims and servicing records, advisor documentation and regulatory retention all live under one taxonomy.
The problem
The cost is rarely the software. It is the release cycle, the manual reconciliation and the audit findings that follow.
Every new document category means code changes, testing and a release — weeks of lead time for what should be a configuration.
Content spread across on-premise shares, SFTP drops and multiple cloud accounts, with no single place to ask where a document actually is.
Wide table scans and unbounded result sets slow the desk down at exactly the moment volume peaks.
Weak object-level control makes it hard to evidence who accessed which customer document, and when.
The differentiator
Document classes are defined as data. Adding an attribute is an admin action, not a development ticket — and it is live within minutes.
One switch — marking an attribute searchable — makes it a capture field, a search key and a returned value across the entire platform.
Capabilities
Typical workflow
From any channel — desk, bulk, API or scheduled file pickup.
Classified to a document class, with attributes bound automatically.
Compressed and written to the chosen cloud provider.
Entitlement resolved and enforced server-side.
Found and viewed, under the entitlement the user actually holds.
Versioned, retained and audited for as long as the policy requires.
Migration
Connectors for IBM Content Manager and Newgen OmniDocs are already built and proven, so migration starts from a working baseline rather than a blank page.
Counts, checksums and a business spot-check must pass at the gate between every phase.
Integration
API generations run side by side, so versions retire on your timetable and no partner is ever forced to re-integrate.
Classes and attributes are data, so a new document type needs no code.
Channels, API, services and storage each deploy and scale on their own.
Lifecycle events are published to subscribers, so integrating systems react to change instead of asking for it.
Storage can move between providers without touching business logic.
The browser is never trusted to decide what a user may see.
A new document type launches as configuration, on the same day.
Fragmented document stores consolidate behind a single interface.
Built-in compression cuts stored volume by up to 80% before it lands.
Wave-based migration keeps the legacy estate live until cutover is proven.
Tell us what your archive looks like today — volumes, systems and how documents are found — and we will show you what consolidating it involves.