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Gestell

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Gestell is an AI-driven software suite designed to harmonize legacy systems with modern business operations. By leveraging artificial intelligence, Gestell analyzes and maps existing systems and data architectures, enabling seamless integration without disrupting daily operations. This non-invasive approach ensures that businesses can modernize their infrastructure efficiently, aligning with specific strategic goals while preserving the integrity of their core processes. Key Features and Functionality: - AI-Generated System Documentation: Transforms undocumented legacy systems into comprehensive, queryable knowledge bases with complete codebase documentation, business logic extraction, and interactive dependency mapping. - Automated Security & Compliance: Enhances audit readiness through automated RACF STIG reviews, access control auditing, permission analysis, and detection of security violations across mainframe environments. - Performance Optimization: Reduces MIPS consumption and operational costs by optimizing DB2 queries, monitoring LPAR performance, optimizing storage, and eliminating dead code. - Modernization Services: Facilitates strategic transformation with risk-managed assessments, selective refactoring, cloud integration, and data harmonization that preserves existing business logic. - System Integration Services: Bridges mainframes with cloud applications through API development, messaging optimization, and secure connectivity. Primary Value and Problem Solved: Gestell addresses the challenges associated with modernizing legacy systems, a process where over 75% of traditional modernization efforts fail, often taking more than five years and exceeding cost estimates by over 50%. By providing AI-enabled, non-invasive solutions, Gestell significantly reduces the risk, time, and cost associated with system modernization. It ensures zero downtime and avoids tampering with base mainframe operations, allowing businesses to achieve accelerated transformation without disrupting their existing processes.

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