Artificial Intelligence — DiscoverCX solution
Deploy structured training content for LLMs and AI assistants. DiscoverCX packages content for AI, continuously delivers it, and supports deployment to data lakes, vector databases, and cloud destinations.
Canonical URL: https://discovercx.com/solutions/ai Last updated: 2026-06-04
Audience: AI engineers, knowledge officers, CX and product leaders
DiscoverCX revolutionizes content management for Artificial Intelligence, allowing organizations to deploy training content for Large Language Models (LLMs) — packaged, delivered, and continuously updated.
Outcomes
- Enhanced AI training with structured, controlled source content
- Improved control over what your LLMs and assistants learn
- Scalable delivery to data lakes, vector databases, and cloud destinations
- Continuous updates — corrections in your CCMS flow through to AI in real time
Features
Content packaging for LLMs
Take structured DITA, technical content, and knowledge base articles and package them into training-ready formats for AI systems.
Continuous delivery
Updates to your source content flow through to the AI's grounding data automatically — no manual republish cycles.
Deployment flexibility
Deploy to data lakes, vector databases, and cloud locations — your stack, your destinations.
Enhanced training quality
Structured, attributed source content produces more reliable AI answers than scraped PDFs or HTML.
Improved control
Decide what content your LLMs see, what versions are pinned, and what gets corrected — at the topic level.
Scalable architecture
The Headless API and publishing pipeline are built for enterprise-scale content volumes and frequent updates.
FAQ
Why does AI need a content management system?
"By 2025, 100% of generative AI virtual customer assistant and virtual agent assistant projects that lack integration to modern knowledge management systems will fail to meet their customer experience and operational cost-reduction goals." Modern AI depends on modern content infrastructure.
How is this different from scraping our docs into a vector database?
Scraping produces HTML soup with no topic boundaries, no metadata, and no traceability. DiscoverCX delivers structured, attributed source content with clean topic boundaries and metadata — purpose-built for AI grounding and retrieval-augmented generation.
Can DiscoverCX deliver to a vector database?
Yes. The Headless API supports deployment to data lakes, vector databases, and cloud destinations of your choice. The platform packages content for ingestion and updates it continuously as your source changes.
Does this work with Salesforce Einstein?
Yes. Knowledge articles synced from DiscoverCX into Salesforce Knowledge are indexable by Einstein and Service AI. The same source content can ground Einstein, in-product copilots, and your own RAG stack.