
Nubes Navigator AI combines cloud-provider tools, independent modernization platforms and Nubes delivery intelligence to understand complex technology estates, compare transformation options and accelerate migration and modernization work.
It helps our teams analyze more evidence, model costs and risks, document legacy systems and automate repeatable work — while experienced architects remain responsible for target architecture, business logic, risk acceptance and production change.

Cloud migration and modernization usually start with incomplete information: CMDB records, architecture diagrams, source code, monitoring data, infrastructure inventories, cloud bills and knowledge held by a few people.
Nubes Navigator AI brings these inputs into one assessment workflow. AI helps classify, summarize and connect information, while deterministic tools establish dependencies, configuration, code structure, runtime behaviour and measurable facts.
The result is not simply an AI-generated recommendation. It is an evidence base that architects and business owners can review before important decisions are made.
Different platforms already provide strong specialized capabilities. AWS Transform can automate discovery and migration activities for environments including VMware and mainframe workloads. Microsoft combines Azure Migrate with GitHub Copilot modernization for assessment, planning, code transformation and Azure migration. Google Cloud Migration Center provides assessment and TCO capabilities, while Google Cloud Modernize adds agentic migration and application-modernization workflows.
Nubes Navigator AI does not try to rebuild all of these tools. It gives our consultants a controlled way to select and combine them with independent analysis, Nubes models and human engineering judgment, according to the client environment.
Digital sovereignty is now much more than choosing an EU cloud region.
The European Commission’s 2026 Cloud Sovereignty Framework assesses sovereignty against 48 criteria across eight categories: strategic, legal and jurisdictional, data and AI, operational, supply chain, technological, security and compliance, and environmental sustainability. Nubes Navigator AI therefore adapts the AI execution model to the sensitivity of the workload.
Nubes Navigator AI combines provider-native and independent technologies according to each engagement. Tool availability depends on the source environment, the target architecture, security requirements and client approvals.
What Nubes Navigator AI changes in a modernization program.
AI should produce a faster outcome and broader evidence coverage — not simply a higher consulting rate.
Use AI where it is faster. Use deterministic evidence where it is safer. Keep humans accountable for every irreversible decision.
Four stages, with a human decision gate before anything irreversible happens.
Collect infrastructure, application, code, runtime, cost and operational evidence.
Map dependencies, technical debt, business rules, risks and modernization constraints.
Compare placement, modernization and cost scenarios, and agree the target direction.
Use approved automation and AI to accelerate planning, engineering, testing and migration, while humans control production decisions.
Most migration and modernization tooling is published by a platform vendor, and naturally optimizes for that vendor’s platform. AWS Transform automates destination-specific modernization, Microsoft’s modernization agents analyze and transform applications toward Azure, and Google Cloud Modernize combines assessment, migration and application modernization.
That acceleration is genuinely useful, and we use it deliberately — after the destination has been shortlisted on its own merits.
Nubes Navigator AI is not tied to the destination, and is not allowed to make irreversible decisions on its own.
Frequently Asked Questions
Nubes Navigator AI is the AI-assisted migration and modernization intelligence environment used by Nubes Consulting during cloud migration and legacy modernization engagements.
It combines provider-native tools, independent analysis technologies, Nubes methods and controlled AI workflows to accelerate discovery, assessment, planning and engineering. It is designed to support consultants and engineers rather than replace technical ownership.
Not primarily. Nubes Navigator AI is a Nubes delivery capability, used inside consulting and engineering engagements.
This lets us adapt the tooling, the deployment model and the AI controls to the client environment, rather than requiring every organization to send its estate into the same SaaS platform.
No. AI can process evidence and generate scenario candidates, but the platform decision remains a human architecture and business decision.
Where AWS, Azure, Google Cloud or OCI tools are used, their recommendations are considered together with alternative destinations and with the client’s existing environment.
We combine infrastructure and application evidence with pricing, licensing, engineering, operational and transition assumptions.
Depending on the engagement, the model can include target infrastructure, licenses, data transfer, migration engineering, application change, dual-run periods, support, skills, decommissioning and resilience. The assumptions stay visible, so finance, technology and procurement stakeholders can challenge them.
Yes, when the engagement is designed that way. We can use local analysis tools and approved self-hosted models inside the client-controlled environment, and generative AI can be disabled entirely for data or workloads where it is not permitted.
We use Nubes-controlled models, task-specific adaptations and approved open-weight models where private execution is required. We do not assume that training a new foundation model is the best answer for every engagement.
It can accelerate bounded and testable transformation work, but we do not treat automatic code generation as proof that a system has been successfully modernized.
Generated changes need deterministic checks, builds, tests, behavioural validation and human review before they become part of a production release.
It can support sovereignty assessments and deployments by controlling where data, models and analysis execute, and by documenting the relevant technical controls.
The final sovereignty and regulatory position depends on the client’s specific requirements, and should be validated with the appropriate security, privacy and legal stakeholders.
Nubes Navigator AI helps our architects and engineers analyze complex technology environments, compare modernization options and accelerate delivery — without giving an AI model control over critical business decisions.
Nubes Consulting Digital helps design, modernize and operate complex technology environments. From Cloud and Architecture to DevOps, SRE and Engineering Delivery, we focus on practical decisions, reliable execution and measurable business outcomes.
