Set the working context
Choose the business, project goal, relevant knowledge, and the people responsible for reviewing the result.

Build a workspace knowledge base, retrieve relevant document context, and use it across agent projects, research, and deliverables.
No code · review gates · work organized by business
druidx run document-intelligence. loading business context. workspace-knowledge-bases, organize documents with the business context they belong to. document-retrieval, find relevant passages rather than sending the full corpus into every request. advanced-rag, use enhanced retrieval capabilities on scale and enterprise according to current entitlements. agent-grounding, attach relevant knowledge to specialist roles and project runs. research-combination, use internal material alongside public web research when a decision crosses both evidence sets. 5 steps complete · output saved to Library.
Make internal material available where the work happens while preserving a controlled source set.
Business answers become unreliable when approved documents are separated from the AI system using them. DruidX keeps knowledge with the workspace and applies plan-aware retrieval capabilities to relevant agent and research tasks.
Organize documents with the business context they belong to.
Find relevant passages rather than sending the full corpus into every request.
Use enhanced retrieval capabilities on Scale and Enterprise according to current entitlements.
Attach relevant knowledge to specialist roles and project runs.
Use internal material alongside public web research when a decision crosses both evidence sets.
Keep document capacity and RAG availability aligned with the selected plan.
The objective, the execution, and the outputs stay connected, so nothing gets rebuilt in the next tool.
Choose the business, project goal, relevant knowledge, and the people responsible for reviewing the result.
Select the appropriate agents, models, tools, connectors, and boundaries for the work.
Inspect progress and outputs, answer questions or approvals, and keep the useful result in the workspace.
Useful outputs your team can open, share, and build on — not another stream of chat.
Apply the capability to a concrete business outcome with visible context and a defined deliverable.
Configure the approach once, then bring it into future projects without rebuilding every instruction.
Use the capability inside a larger workflow with explicit logic, timing, and human review where required.
Your next move
Set up a workspace, add the context that matters, and let your AI team turn the goal into reviewed, reusable work.