IBM Content Cortex
 

An agentic content services platform that centralizes, governs, and activates enterprise content with the power of AI at the scale and security that your business requires.

Layered system architecture diagram showing users and agents, intelligent content services, and content storage connected by arrows.
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94%* Reduction in time spent on manual content tasks 90% Lower administrative costs achieved by Central Nacional Unimed.
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250% Lending volume growth over 3 years without additional hires achieved by BlueShore Financial.
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2,500+ Leading global companies trust IBM for their content operations
Overview

Enterprise content is the biggest untapped AI asset. IBM Content Cortex puts it to work

Content silos, weak governance and stalled AI initiatives hold enterprises back. IBM Content Cortex transforms this by making content intelligent and putting it to work.

1. Make your content AI-ready
Centralize, govern, and structure your content so it's trusted, traceable, and consumable by people and AI agents.

2. Power your content automation
Automate the content operations your teams rely on – classification, legal hold application, redaction, and record management.

For existing IBM content services customers
IBM Content Cortex is the natural evolution of FileNet Content Manager, Content Manager OnDemand, and Content Manager Enterprise Edition – unifying IBM's content services portfolio into a single, AI-ready platform.
Core Capabilities
Centralize

Bring content from any system into a single, governed repository. Apply and enrich metadata at scale so your content is findable, consistent, and accessible to both people and AI agents, with document and user security always honored.


Information requests reduced from 3 months to under 1 hour.

Source: IBM Case Study - Tatweer Building Company

Govern

Embed access controls, retention policies, and audit trails natively across every document and its semantic representation through the full content lifecycle. Every action is sourced, timestamped, and defensible. Governance is part of the platform, not bolted on.


90% lower administrative costs · 35% less analysis time

Source: IBM Case Study - Central Nacional Unimed

Activate

Enable AI agents to execute content operations such as classifying, extracting, redacting, applying legal holds, and searching, via MCP-native integration with any AI platform of your choice: watsonx Orchestrate, Claude, Copilot, or ChatGPT. Transform passive storage into an intelligent system that works on behalf of your teams.


Employee productivity up 20–30% · Documentation cycle time down 20–40% 

Source: IBM Case Study - SOCAR Turkey

Built on best-of-breed content services platforms — proven at enterprise scale, now optimized for AI

IBM Content Cortex is the evolution of IBM’s existing content services offerings – combining proven enterprise-grade storage, governance, and scalability into a unified platform built for AI from the ground up. One system manages billions of documents, petabytes of data, and millions of daily API calls without compromise.

Features

Essentials edition is the governance foundation for your agentic enterprise.

Intelligent Archiving

Stop paying for separate archival systems. Up to 30:1 compression for long-term content delivers significant storage savings with instant retrieval — one platform for both active and archival content.

Essentials
Remote MCP Server

Connect your AI models directly to your content with Model Context Protocol with no waiting or complex setup.

Essentials
Navigator Core Agent

Give your teams natural language access to the content they need — without switching tools. Ask questions, retrieve documents, and execute tasks directly in Content Navigator.

Essentials
Enterprise Security and Governance

Security that follows every document — not a policy you apply after the fact. Fine-grained access controls enforced natively across all documents and their semantic representations, with zero data leakage by architecture.

Essentials
Business Automation Insights

Know the state of your content estate at any moment. Operational dashboards surface content performance, lifecycle status, and governance compliance — giving leaders the visibility to act on content AI readiness.

Essentials
Retention and Disposition

Apply legally defensible retention schedules and disposition policies across billions of documents automatically. Every action is auditable. Compliance is embedded, not managed separately.

Essentials

Industry use-cases

Built for the complexity of regulated industries
 

IBM Content Cortex is built for the content challenges most acute in regulated, document-intensive sectors.

BFSI: From compliance liability to defensible record

Banks and financial institutions manage billions of documents across fragmented systems, with regulators demanding instant audit access and rigorous records management. Missing or incorrect metadata creates litigation exposure and operational bottlenecks.

Reduce the response time to regulatory requests from days to hours.

  • Loan backlog dropped from 6 weeks to overnight 
  • Lending volume grew 250% over 3 years without additional hires
  • Audit automation saves CAD 100,000/year

Source: IBM case study — BlueShore Financial

A person at a desk interacting with chat bubbles and data charts, connected by a rising arrow and analytics icons.

Insurance: Eliminate manual document triage at ingestion

Insurers ingest millions of policy documents, claims files, and vendor forms – each requiring manual sorting, classification, metadata enrichment, and folder assignment. Manual triage at this volume introduces errors and compliance gaps that create real financial exposure.

Automate document processing end-to end: classify, enrich, route, and retain – in a single workflow.

  • AK Sigorta achieved 40% faster read/write performance  while processing 10,000+ claim files daily, serving 3 million customers 24X7
  • Central Nacional Unimed achieved 90% lower administrative costs · 35% less analysis time

Sources:  IBM case studies - AKSigortaCentral Nacional Unimed  

A person using a laptop, connected by lines to cloud, document, email, clock, and information icons.

Healthcare: Protect sensitive patient information at scale

Healthcare organizations manage millions of clinical records, consent forms, and diagnostic documents — each subject to HIPAA, retention mandates, and right-to-access obligations.

Retrieve critical and sensitive patient information in seconds rather than minutes.

  • 90% lower administrative costs 
  • 35% less analysis time
  • 1.3 million medical bills processed per month 

Source: IBM case study — Central Nacional Unimed

Detailed health-related icons and symbols, showing diverse medical concepts.

Government: Manage records at national scale

Government agencies ingest millions of pages per day — forms, correspondence, case files — against strict records management mandates, FOIA obligations, and public accountability requirements. Manual processes cannot keep pace.

Automate classification, retention, and records management at the volume government operates — with audit trails and compliance enforcement built in.

  • ANAS S.p.A. managed nearly 12 million documents across engineering, procurement, and IT — with 1.6M+ pages ingested per day
  • Tatweer Building reduced information request fulfillment from up to 3 months to under 1 hour

Sources: IBM case studies - ANAS S.p.A.Tatweer Building

A figure of a woman sitting at her desk typing on her laptop, and at the same time a specter of her checking papers.

Manufacturing : From unstructured production data to actionable record

Manufacturers manage vast volumes of engineering drawings, quality reports, supplier contracts, and compliance certifications — spread across disparate systems. Slow retrieval delays procurement decisions, audit responses, and product lifecycle management.

Centralize and classify manufacturing documentation — so teams retrieve the right version in seconds.

  • Documentation cycle time down 20–40%
  • Employee productivity up 20–30%
  • USD 300,000/year in operational savings

Source: IBM case study — SOCAR Turkey Enerji A.S.

Interconnected data managed agriculture, manufacturing, and distribution networks,
Advantages no competitor can match Agents built into the content lifecycle, not bolted on

Content Cortex embeds agents natively, so classification, legal hold application, redaction, and search execute within the content lifecycle, not around it.

MCP-native for any agent runtime

Built with production-ready MCP servers from the ground up, not retrofitted. watsonx Orchestrate, Claude, Copilot, ChatGPT — any AI runtime can execute content operations with full security enforcement.

Governance at enterprise scale

Collaboration-first content tools aren’t designed for governance at scale. Content Cortex manages 16 billion documents, 33 PB in a single repository, and 600M API calls per month with full audit trails throughout.

Zero data leakage by architecture

Security enforced at every layer — storage, semantic representations, agent interactions, search results. When a document is deleted, all derived embeddings are deleted too.

Hybrid without compromise

Full platform capability on-premises, private cloud, or public cloud — no separate SKUs, no capability degradation. Regulated industries that cannot move fully to the cloud get everything.

30 years of regulated enterprise trust

IBM content services solutions have managed the world’s most sensitive content for over three decades — 2,500+ enterprise customers, certified for banking, insurance, healthcare, and government at 99.999% availability.

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*Based on results from IBM Content Assistant customers. Individual results may vary