Agentic AI
DDL agent workflows can use selected data and business definitions to answer questions, help diagnose pipeline issues, and propose workflow plans. People remain at the decision point.
An agent can propose. Your team decides.
Use AI to explore a business question or describe a data-preparation goal. Review the answer or plan before any proposed changes are carried out.
- 01Ask with context
Bring a business question together with selected project data and team definitions.
- 02Explore an answer or plan
Review a grounded response, diagnostic suggestion, or proposed workflow.
- 03Decide what happens next
Approve, revise, or decline a plan. Proposed changes require review before they are carried out.
AI responses can be wrong and behavior depends on model, data scope, and configuration. Example interactions do not connect to a model, execute a query, or approve a change.
Delman has worked with enterprise data since 2018. DDL is available on-premise; model routes, permissions, and data paths depend on each organization’s configuration.