Enterprise SAP Archiving Intelligence Platform
An 8-agent AI orchestration platform performs comprehensive SAP data lifecycle analysis. Agents scan database structures, develop archiving strategies (conservative/balanced/aggressive), map dependencies, validate compliance, calculate financial ROI, assess risks with mitigations, ensure data quality, and provide human-in-the-loop approval gates for safe execution.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
SAP Configuration & Agent Fleet - 7 specialized AI agents with performance scores and SAP system connection settings
AI Analysis in Progress - Deep analysis with agent reasoning, real-time collaboration panel, and tool execution tracking
Archiving Intelligence Report - Analysis overview with database reduction metrics, annual savings, and balanced wave strategy
SAP Archiving Business Case - Executive ROI summary with investment analysis, risk assessment, and implementation timeline
AI Agents
Specialized autonomous agents working in coordination
Chief Coordinator Agent
Complex SAP archiving analysis requires coordinating multiple specialized agents, managing workflow dependencies, handling human approvals, and synthesizing results into cohesive recommendations.
Core Logic
The Orchestrator manages entire workflow execution, coordinates task distribution across agents, enforces quality assurance gates, synthesizes analysis results, handles human intervention requests, builds consensus among agents on complex decisions, manages SLA deadlines, and maintains complete audit trails for regulatory compliance.
Database Analyst Agent
SAP databases contain thousands of tables across multiple modules with unknown sizes, growth patterns, and age distributions, making archiving candidate identification difficult.
Core Logic
DataDiscovery scans SAP databases to enumerate tables by module (MM, FI/CO, HR, SD). It calculates table sizes (GB/TB), record counts, monthly/yearly growth trends, and age distribution (<1yr, 1-3yr, 3-5yr, >5yr). It assesses data quality (completeness, consistency, accuracy, timeliness), identifies archiving objects, and detects patterns for optimization.
Strategy Planner Agent
Archiving requires balanced strategies that maximize data reduction while minimizing risk, but determining optimal approaches, timing, and implementation waves requires complex trade-off analysis.
Core Logic
ArchiveStrategist designs archiving strategies (conservative/balanced/aggressive) with implementation wave planning. It prioritizes objects by impact and risk, creates execution timelines, calculates safety scores, determines total reduction potential and cost savings, and plans wave-by-wave execution with risk/reward optimization.
Relationship Analyst Agent
SAP tables have complex parent-child relationships, reference constraints, and custom code dependencies. Archiving without understanding these dependencies causes data integrity failures and broken processes.
Core Logic
DependencyMapper constructs dependency graphs mapping parent-child relationships, reference constraints, and cascade requirements. It detects orphan records, identifies circular dependencies, tracks custom code references, analyzes deletion impact, and determines safe archiving sequences. Output includes dependency maps with risk flags.
Regulatory Expert Agent
Data archiving must comply with multiple regulations (SOX, GDPR, tax laws, industry-specific requirements) with varying retention periods, audit trail requirements, and approval processes.
Core Logic
ComplianceGuardian validates archiving strategies against retention period requirements, identifies applicable regulations per data type, assesses audit trail requirements, analyzes data privacy impacts, determines approval needs, identifies compliance gaps, and creates remediation plans with regulatory timelines.
ROI Calculator Agent
Archiving projects require compelling business cases with accurate cost estimates, savings projections, and ROI calculations to secure executive approval and budget allocation.
Core Logic
FinancialAnalyst calculates total investment (upfront + recurring), annual savings (storage, licensing, performance), NPV, ROI percentage, and payback period. It performs sensitivity analysis across multiple scenarios, generates year-by-year projections, and documents assumptions. Output builds the financial case for executive decision-making.
Risk Analyst Agent
Archiving projects carry risks across multiple domains—data loss, compliance violations, performance degradation, business continuity—requiring systematic identification, quantification, and mitigation planning.
Core Logic
RiskAssessor identifies risks across key categories (data loss, compliance, performance, business continuity), assesses likelihood and impact, calculates risk scores, generates mitigation strategies with owner assignments, tracks mitigation effectiveness, and determines risk acceptance thresholds. Output includes overall risk level and complete risk register.
Quality Assurance Agent
Archiving poor-quality data wastes resources and may violate retention requirements. Quality issues must be identified and remediated before archiving proceeds.
Core Logic
QualityValidator assesses data quality across dimensions (completeness, accuracy, consistency, timeliness), executes validation rules, identifies quality issues, generates quality scores, makes gate pass/fail decisions, and creates remediation action plans. It can block archiving if quality thresholds are not met.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
6 technologies
Architecture Diagram
System flow visualization