Start with the decision
Describe the business question or data-preparation goal the team is trying to resolve.
PRIVATE ANALYTICS AGENTS
Private analytics agents for enterprise data.
Bring business questions, selected data, and team definitions into AI-assisted workflows. Explore answers and proposed next steps—then let people review before changes are made.
Business context firstReview before changesOn-premise available
AI WITH BUSINESS CONTEXT
Useful AI starts with a scope your team can explain.
Set the question, choose the information the task may use, and add definitions that make the answer easier to judge. DDL supports asking questions and proposing workflow steps; people stay responsible for review.
Choose data and meaning
Bring selected information and team definitions into the agent’s working context.
Keep the decision with people
Inspect an answer or proposed plan; approve, revise, or decline before changes are carried out.
AI output can be wrong. Model routes, data scope, and permissions depend on each organization’s configuration; people review proposed plans before work proceeds.
BUSINESS QUESTIONS BY INDUSTRY
AI begins with the questions your teams already ask.
Example questions—not customer results. What is possible depends on the data, definitions, and workflows an organization makes available.
Financial services
Bring service, branch, and portfolio reporting into a clearer review.Example question: Which service teams need attention this week?
FMCG · logistics & distribution
Compare stock movement and delivery performance across regions.Example question: Where are deliveries or stock positions falling behind plan?
Manufacturing
Review output, quality, and downtime across production lines.Example question: Which lines are seeing repeated stoppages?
Agriculture
Compare crop, harvest, and collection patterns across fields.Example question: Where are yield or collection patterns changing?
THE WORK AROUND THE AI
One connected environment for questions and data work.
AI is the center of the story. DDL’s workspace, SQL, data preparation, data foundations, and observability give teams a place to make the work visible and reviewable.
Explore the DDL workspace01Agentic AIAsk questions, diagnose issues, and review proposed plans.02ETL & data managementPrepare repeatable data workflows with visible steps.03AI-assisted pipeline developmentGenerate high-level pipeline logic with AI, then work directly in SQL when needed.04Data FoundationPrepare shared, reusable data for reporting and analysis.05Data ObservabilityFollow process activity and inspect run details and logs.06MCP integrationConnect compatible AI clients to permitted DDL tools.
ENTERPRISE DATA, SINCE 2018
AI grounded in work your people understand.
Delman has worked with enterprise data since 2018. DDL is available on-premise; model routes and data paths depend on each organization’s configuration.
Keep scope explicitTeams select the data and context used for a task.
Keep people accountableReview proposed workflow changes before they are carried out.
Choose the deploymentOn-premise deployment is available to fit the organization’s operating environment.
DELMAN DATA LAB · AI-CENTERED ENTERPRISE DATA WORK