AIHouse delivers structured migration from legacy platforms to Amazon Redshift and modern AWS data architectures — from MAP-aligned assessment through wave-based production cutover.
Complimentary Assessment and Redshift POC for qualified AWS customers*
AIHouse combines AI-controlled execution with expert oversight to reduce risk, accelerate timelines, and lower long-term cost.
Structured assessment, LLM-assisted conversion, and automated orchestration reduce delivery timelines by up to 70%, without compromising governance.
Automation handles repeatable execution while experts engage at decision points, reducing consulting effort by 40–50%
Optimized Redshift architectures, controlled cutover, and built-in AIOps drive 30–40% lower long-term infrastructure and support costs
Automated schema inventory, dependency mapping, and LLM-assisted conversion analysis establish clear scope, sizing, and a production-ready roadmap.
Coordinated schema conversion, data migration, remediation tracking, and wave-based sequencing ensure predictable progress and measurable milestones.
Built-in reconciliation, performance benchmarking, and controlled cutover checkpoints provide full audit traceability and safe transition to production.
Post-migration optimization with a defined path to SageMaker, Bedrock, and advanced analytics ensures long-term modernization value.
Deep integration with Amazon Redshift, AWS Schema Conversion Tool, Database Migration Service, and core data services enables secure, production-grade modernization from legacy platforms to AI-ready architectures.
End-to-end data warehouse modernization executed through defined phases — from assessment to production optimization.
Automated schema discovery, dependency mapping, and LLM-assisted conversion analysis establish scope, sizing, cost modeling, and migration readiness.
Provisioned Amazon Redshift environment with representative workload conversion, validation benchmarking, and production gap analysis.
Wave-based production migration with governed cutover, performance parity validation, and remediation tracking.
Continuous monitoring, cost optimization, and AI-ready enablement to extend modernization into long-term operational value.
AIHouse translates AWS Migration Acceleration Program (MAP) guidance into structured execution—automated assessment, controlled migration waves, and AI-ready production environments.
AIHouse delivers structured, AI-controlled data warehouse modernization on AWS. Enterprises accelerate delivery, reduce execution risk, and control total program cost.
AI-driven assessment, LLM-assisted code conversion, and structured wave execution accelerate modernization while maintaining clear scope control and budget confidence.
AIHouse automates the majority of traditionally manual assessment, conversion, and orchestration activities — reducing consulting effort and lowering migration services cost.
Optimized AWS Data architecture and reduced services dependency lower combined infrastructure and consulting spend across the program.
Accelerate your migration with AI-controlled execution aligned to AWS MAP. Validate scope, reduce manual effort, and move to production with confidence — with fully funded Assessment and POC.
Validate scope, complexity, and migration readiness — funded through available AWS programs.
Deploy a production-aligned Redshift proof of concept with automated conversion, validation, and benchmarking.
Move to full production with controlled execution, expert oversight, and no open-ended consulting costs.