IBM Content Collaborator powered by Agentic AI
IBM Consulting · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
IBM Content Collaborator is an Agentic AI application that transforms how organizations create, review, translate and publish multi-modal content including complex, regulated documents.
Purpose-built for the Pharmaceutical, Biotech, Medical Technology and Healthcare Payer and Provider industries, this application leverages multiple, autonomous AI Agents orchestrated on Amazon Bedrock to automate high-stakes documentation activities. For example, the system automates the generation of a wide range of content types—regulatory submissions (ex: regulatory submissions such as IND, NDA, BLA, 510K), generation of Safety Aggregate Reports, Clinical Study Reports and Summaries, Adverse Event Narratives, Quality reports, SOPs, Marketing materials in Life Sciences and Healthcare — ensuring accuracy, enabling compliance, and efficiency throughout the content lifecycle.
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ICC is pre-integrated with Microsoft Sharepoint, Veeva Vault and can be easily integrated with other data sources and content management systems.
This Enterprise Grade, reliable, Agentic AI system is designed to scale both for volume and complexity with consistently high quality output. With integrated AI governance, it supports HIPAA, GDPR, GxP and 21 CFR Part 11 including traceability, data lineage, full audit trail and reporting.
Highlights
Highlighted by the publisher on AWS Marketplace.
Business Highlights • Self-serviceable solution • Reduces regulatory document authoring & review time by up to 90%, accelerating TTM by 4 months • Delivers 30–50% cost savings in documentation workflows • Content quality rated 80–95% by business leaders • Frees expert staff for higher-value tasks • Scales across Clinical, Regulatory, Quality, Safety & Marketing
Technical Highlights • Multi-modal content generation: rich text, structured tables, scientific figures, and analytical charts • Multi-GenAI autonomous agents powered by Amazon Bedrock and Anthropic models • Enterprise scalability using AWS EKS and EC2 • Robust security: private VPC, network isolation, and role-based access • Audit Trail • Source Data Lineage • Traceability • AWS Guardrails • Embedded AI governance to support HIPAA, GDPR, and GxP standards
Agent build and provenance
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Sources
Publisher resources
1 linkLinked repositories
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