Agentic Analytics
Use Agentic Analytics to run governed agents on validated context, review recommendations, inspect evidence, and route approved action.
Before you start
Operations leaders, reliability teams, data teams, and governance owners reviewing AI-assisted recommendations.
- Validated DataOps context or an approved data product.
- A defined workflow such as anomaly review, planning, diagnostics, compliance, inventory, or knowledge support.
- Clear reviewer and approver roles.
- A baseline expectation for what should remain advisory versus executable.
Move through the connected record.
- 01
Select the context
Choose the asset, source, event, run, or data product that the agent should use as evidence.
- 02
Run an agent or activation pack
Start the agent workflow, review the generated plan, and confirm that inputs and assumptions are visible.
- 03
Review recommendation evidence
Inspect traces, source facts, confidence, rejected options, and operational impact before accepting a recommendation.
- 04
Use approval and audit surfaces
Keep recommendations advisory until a reviewer approves the action and the audit trail captures the decision.
- 05
Measure outcomes
Track accepted actions, feedback, run quality, and business results so the agent workflow improves over time.
Open your workspace.
Sign in with your TwinEdge account to access your enabled modules.
Agents
Agent registry and overview.
Open in appAgent Runs
Run history and status.
Open in appAgent Audit
Review records and decision traces.
Open in appAgent Evaluation
Evaluation sets and quality review.
Open in appDataOps AI
AI context and DataOps assist surfaces.
Open in appDataOps Agent Runs
Runs tied to DataOps workflows.
Open in appContinue the workflow.
Build it around your operation.
Discuss the TwinEdge AI package for your sources, assets, and governed agent workflows.