PDI CloudModernize · Agentic Cloud Modernization

Modernize the entire data estate — from discovery to trusted cloud operations.

PDI CloudModernize brings four purpose-built AI agents into one coordinated modernization product. Assess legacy complexity, convert data workloads, validate every outcome, and generate privacy-safe test data without separating the program into disconnected tools.

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ASSESS · MODERNIZE · ASSURE · SYNTHESIZE

The modernization gap

A cloud migration is not one conversion step.

Teams must first understand sprawling ETL, warehouse, reporting, and data dependencies. They then need repeatable conversion, source-to-target assurance, and realistic test data that does not expose production information. When each stage uses a different process, risk and manual effort accumulate between handoffs.

PDI CloudModernize treats modernization as one governed lifecycle. Each agent has a distinct role, while shared context, controls, and evidence connect assessment through deployment.

One master product · Four specialized agents

A coordinated agent team for the complete modernization lifecycle.

01

Assess

PDI InsightsAgent

Audits ETL pipelines, data warehouses, BI estates, lineage, performance, and dependencies to identify migration risk and generate a prioritized modernization roadmap.

  • Complexity and dependency analysis
  • Performance, cost, security, and compliance findings
  • Migration-readiness and optimization recommendations
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02

Modernize

PDI ModernizeAgent

Converts legacy ETL workflows, data-warehouse schemas, stored procedures, SQL, and BI assets into optimized cloud-native implementations.

  • ETL and ELT pipeline conversion
  • Schema, SQL, and procedure modernization
  • BI report and semantic-logic migration
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03

Assure

PDI AssureAgent

Continuously compares source and target environments, detects discrepancies, validates transformation integrity, and produces audit-ready reconciliation evidence.

  • Automated source-to-target reconciliation
  • Schema, record, value, and KPI validation
  • Alerts, exception evidence, and compliance reporting
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04

Synthesize

PDI SyntheticAgent

Generates realistic, privacy-safe datasets for application testing, analytics, AI and machine-learning development, and controlled data sharing.

  • Schema-aware synthetic data generation
  • Preserved relationships and statistical patterns
  • Privacy and policy controls for regulated use cases
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The operating model

Each agent owns a decision point. The product preserves the chain of evidence.

DiscoverInventory assets, dependencies, usage, quality, and risk.
InsightsAgent
TransformConvert code, mappings, schemas, SQL, and reports.
ModernizeAgent
VerifyReconcile source and target outcomes before cutover.
AssureAgent
Test safelyCreate representative datasets without exposing production records.
SyntheticAgent

What CloudModernize covers

Modernization across integration, warehouse, analytics, and test-data layers.

i

ETL and data integration

Assess and convert legacy mappings, workflows, transformations, schedules, and dependencies into modern cloud integration patterns.

ii

Data warehouses and SQL

Analyze schemas, queries, procedures, indexing, and models; convert and optimize them for cloud data platforms.

iii

BI reports and metrics

Identify redundant reports, preserve business logic, migrate dashboards, and validate calculations and KPIs across platforms.

iv

Application and AI test data

Create scalable synthetic datasets for testing, analytics, model development, audits, and controlled third-party collaboration.

Governed automation

AI accelerates the work. Enterprise controls govern the outcome.

  • ExplainableRecommendations, conversions, comparisons, and exceptions remain reviewable rather than becoming opaque automation.
  • Human controlledApproval points can be retained for transformation decisions, remediation, release, and cutover.
  • AuditableAssessment findings, conversion outputs, validation evidence, and policy decisions can be retained as program artifacts.
  • Platform awareThe agent team is designed for enterprise ETL, data warehouses, BI platforms, cloud services, and governed test environments.

Delivery principle

CloudModernize does not treat generated code as a finished migration. Conversion, validation, exception review, and deployment controls remain part of the same modernization workflow.

Representative modernization paths

Apply the agent team to the estate you already operate.

Integration modernization

Legacy ETL to cloud-native pipelines

Assess existing logic and dependencies, convert workflows, reconcile outputs, and generate safe test data for repeatable releases.

Warehouse modernization

On-premises platforms to cloud data warehouses

Evaluate schemas and SQL, automate target conversion, validate record and metric consistency, and optimize for the target platform.

Analytics modernization

Legacy BI estates to modern analytics

Prioritize active reports, migrate logic and visualizations, and compare KPIs side by side before business adoption.

Why Pacific Data Integrators

Modernization agents backed by enterprise data-delivery experience.

PDI brings more than 15 years of delivery experience across enterprise integration, data quality, governance, analytics, and cloud modernization. CloudModernize packages that experience into an agent-assisted delivery model designed to shorten assessment and conversion cycles without removing the controls required for production data programs.

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