How Agentic Planning Works
Explore how ADM breaks down goals, assigns tasks to agents, and adapts in real time—all without manual orchestration.
Plan with Purpose.
Execute with Autonomy.
ADM planning turns data chaos into coordinated action-with autonomy and oversight built in.
Elevate Your Data Game with Agentic Precision
From reactive workflows to proactive execution—powered by ADM planning
Without Planning
Reactive firefighting
Manual quality fixes
Misaligned outcomes
To
Predictive workflows, 30% faster execution
Automated trust and compliance validation
Seamless goal-to-data alignment for AI
From Goal to Plan: Autonomy in Motion
See how ADM turns a business goal into an agent-driven plan—coordinated, compliant, and ready to execute.
Goal
Context
Inputs
Planning
Assignment
Review
Ready
Goal:
“Update compliant data catalog” is initiated.
“Update compliant data catalog” is initiated.
Context:
ADM analyzes workflows, metadata, and objectives.
ADM analyzes workflows, metadata, and objectives.
Inputs:
Signals and policies are synthesized.
Signals and policies are synthesized.
Planning:
Tasks are generated: scan, validate, tag.
Tasks are generated: scan, validate, tag.
Assignment:
Tasks are mapped to agents.
Tasks are mapped to agents.
Review:
Plan surfaced for optional human approval.
Plan surfaced for optional human approval.
Ready:
Plan is complete and ready for execution.
Plan is complete and ready for execution.
From Business Goal to Agentic Plan-Autonomously
ADM planning translates high-level goals into actionable tasks—routed to agents with autonomy and control.
Goal:
User initiates catalog update.
User initiates catalog update.
Context:
ADM analyzes metadata and past workflows.
ADM analyzes metadata and past workflows.
Inputs:
Signals, policies, and metadata gathered.
Signals, policies, and metadata gathered.
Planning:
Goal decomposed into tasks such as scan, validate, tag, and enforce.
Goal decomposed into tasks such as scan, validate, tag, and enforce.
Assignment:
Tasks routed to specialized agents.
Tasks routed to specialized agents.
Review:
Plan with confidence score surfaced to humans for approval.
Plan with confidence score surfaced to humans for approval.
Ready:
Plan complete and compliant, ready for execution.
Plan complete and compliant, ready for execution.
Analyze
Orchestrator agents scan metadata, lineage, and pipeline state—integrating with tools like Airflow and Snowflake.
Plan
Goals are broken into tasks like validate, tag, and enforce—each assigned to the right agent.
Approve
Plans surface with confidence scores for optional human review and adjustment.
Execute
Specialized agents autonomously run tasks, ensuring accuracy, freshness, and compliance.
Adapt
If issues arise (e.g., schema drift), agents replan instantly to maintain flow and meet SLAs.
Example: Data Cataloging
30% faster workflows
95% SLA compliance
Full trust and governance tagging
A financial services firm used ADM’s planning to automate data cataloging. Agents scanned datasets, validated quality, and tagged metadata—ensuring accuracy and compliance.
Scan
Data Assets
Validate
Quality Metrics
Tag
Metadata
Verify
Regulations
Alert
On Issues
Report
Compliance
Enterprise Outcomes, Realized
“ADM’s planning reduced data downtime by 50% and quality incidents by 80%. Our team now focuses on strategy, not reactive cleanup.”
- Data Lead, Fortune 500 Financial Enterprise
- Data Lead, Fortune 500 Financial Enterprise
Supercharge Your Data with ADM
Planning is just the start. Explore ADM’s agentic capabilities.
Got Questions? Get Clarity
What is agentic planning in ADM?
Agentic planning autonomously breaks down complex data goals into executable workflows. AI agents adapt in real time to deliver reliable results.
How does planning reduce data downtime?
Agents detect and resolve issues proactively, maintaining SLAs even when pipelines fail.
Does planning improve data quality?
Yes—trust agents validate data early in the workflow, reducing errors downstream.
Which platforms does ADM’s planning integrate with?
ADM works with Airflow, Snowflake, Databricks, and more—enhancing your stack without disruption.
How does planning support compliance?
Governance agents enforce policy and traceability across workflows—supporting GDPR, HIPAA, ESG, and more.
How efficiency gains does planning deliver?
Customers typically see 30–50% faster workflows and 80% fewer quality incidents.
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