Reason. Recommend. Reinforce Policies

From discovery to enforcement, Acceldata’s agents reason across metadata, time-series, and lineage to detect issues and apply context-aware policies—automatically. Built for action. Designed for oversight.

See It in Action

Discover the Benefits

Policy Fuels Every Trusted Decision

Policy orchestration doesn’t just enforce—it connects every layer of ADM. Powered by Discovery insights, agentic policies adjust with lineage, context, and telemetry.

Explore Agentic Workflows

Know What Matters.
Enforce What Counts.

Policy orchestration equips agents to act with clarity, not guesswork—drawing from telemetry, metadata, and lineage so enforcement is always timely, contextual, and aligned with platform activity.

Conversational Interface

Ask about policies or create them in plain language.

Time-Series Reasoning

Tune thresholds based on trend patterns—not static limits.

Policy Simulation + Preview

Test impact before enforcement.

Agentic Reconciliation

Auto-compare row-level data between systems.

Template + Migration Hub

Move policies from IDQ with one click.

Compliance-First Templates

Deploy ready-to-use rules for BCBS 239, PHI, and more.

Explore Capabilities

From Reactive Burden to Agentic Precision

Eliminate lag between detection and action—turning governance from a reporting task into a system of live, evolving responses.

Before

Static rules applied per asset

Weeks to update thresholds or logic

AI recommended Policies lacked context or time-series insight

Time-consuming policy export/import UAT environments

After

Tag-driven enforcement across 10,000+ assets simultaneously

Policies evolve automatically through self-tuning and reinforcement learning feedback loops

Agents reason over time-series, lineage, and metadata to generate precise policies

One-click IDQ-to-ADQ policy migration with LLM-powered translation

See How Agents Work

Built for Action. Trusted Across Roles.

Helps lean teams move fast—when data breaks, action follows.

Data Engineer

“Automatically detect mismatches between Snowflake and Salesforce IDs.”

Data Architect

“Migrate 1,000+ data quality rules from IDQ to ADQ in minutes.”

Compliance Officer

“Use ready-made templates to enforce access rules—without writing new logic.”

Marketing Manager

“Prioritize accuracy on campaign data with custom scoring logic.”

DevOps Engineer

“Push alert rules from dev to prod—instantly and consistently.”

Privacy Officer

“Flag emails and names as PII—no manual reviews needed.”

Policy Lifecycle, Contextually Evolved

Every step of the policy lifecycle is powered by agents, supervised by humans.

Define

Enforce

Monitor

Remediate

Use pre-defined templates or generate policies via natural language (e.g., “flag PII in customer emails”).

Migrate legacy rules (e.g., from IDQ) or apply policies across 10,000+ assets with tagging.

Detect data drift, missed thresholds, or schema changes with ML-adaptive tracking.

Trigger enriched alerts, create auto-tickets, or reprocess data with cost-aware logic.

From Business Goal to Agentic Plan-Autonomously

ADM planning translates high-level goals into actionable tasks—routed to agents with autonomy and control.

Define:
Use pre-defined templates or generate policies via natural language (e.g., “flag PII in customer emails”).

Enforce:
Migrate legacy rules (e.g., from IDQ) or apply policies across 10,000+ assets with tagging.

Monitor:
Detect data drift, missed thresholds, or schema changes with ML-adaptive tracking.

Remediate:
Trigger enriched alerts, create auto-tickets, or reprocess data with cost-aware logic.

Built for Scale. Proven in Production.

90% of rules migrated with no rewrite code

BCBS 239 enforcement scaled across 14 BUs

Audit latency dropped from days to minutes

Watch the Demo

10x

faster deployment

70%

fewer compliance gaps

100%

automated PHI enforcement

Enterprise Trust, Reinforced

“Our Data Doesn’t Wait. Now Our Policies Don’t Either.”

“With Acceldata’s policy agents, we go from issue to resolution without bottlenecks. Governance isn’t reactive anymore—it’s integrated.”

— VP, Data Governance, Global Bank