Sold by: AidenAI Inc.
AiDAP is AidenAI’s agentic migration and modernization platform for enterprise applications, integrations and data. Coordinated AI agents connect discovery, target architecture, transformation, validation and deployment planning through shared application knowledge and human approval gates. Contact AidenAI to explore your migration and modernization priorities for AWS.
Overview
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Modernize across technology stacks with AiDAP
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AiDAP runs on your AWS
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AidenAI AiDAP delivers migration outcomes
AiDAP helps enterprise transformation, architecture and engineering teams understand complex technology estates and execute migration and modernization programs. Delivered from an AidenAI-managed environment, the platform brings together specialized Discover, Design, Builder, Test and Deploy agents, coordinated by an orchestration agent. Teams can recover embedded business knowledge, identify dependencies and technical risks, and maintain traceability between source evidence, engineering decisions and generated assets.
The Discover Agent analyzes approved inputs such as source code, configurations, schemas, interfaces, documents and tickets to build a shared application baseline. The Design Agent supports target architectures, domain and data models, API contracts, integration designs and migration patterns. The Builder Agent generates or modifies application code, configuration, workflows and mappings using reusable transformation recipes and customer-defined standards. The Test Agent supports test generation, regression and integration testing, synthetic data and data reconciliation. The Deploy Agent supports environment and CI/CD configuration, release approvals, cutover planning and rollback activities.
For migration and modernization initiatives targeting AWS, AidenAI works with customers to define workload scope, target architecture, connectivity, identity, data handling and delivery requirements. Target architecture options can include virtual machines, containers, serverless applications, managed databases and object storage, selected according to the engagement. Human review and approval gates help teams govern architectural decisions, generated assets, exceptions and production releases. Outputs can include estate inventories, dependency maps, business-rule models, target designs, transformed assets, validation evidence and deployment plans. Contact AidenAI for a demonstration and to discuss the delivery approach and supported scope for your environment.
Highlights
- Unify migration and modernization across discovery, design, transformation, validation and deployment planning with coordinated AI agents and shared application knowledge.
- Preserve business rules and application context through traceability connecting source evidence, architecture decisions, generated assets and validation results.
- Support enterprise modernization initiatives targeting AWS with reusable transformation recipes, customer-defined engineering standards and human approval gates.
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
Visit https://www.aidenai.com to contact AidenAI about AiDAP demonstrations, onboarding, technical assistance and engagement requirements. Support scope, availability, response targets and escalation procedures are defined in the applicable customer agreement.