Frequently asked Questions

We support AWS, Microsoft Azure, Google Cloud, hybrid cloud, and multi-cloud environments.

A standard chatbot is a rigid, rule-based script. A custom AI agent, like the ones built at GlobalNodes, is autonomous—it can understand intent, use external tools (like querying your database or sending an email), and execute complex, multi-step workflows.

Legacy modernisation improves operational efficiency, system scalability, data accessibility, and integration across supply chain processes.

Legacy modernisation improves platform scalability, streaming performance, operational efficiency, and integration with modern technologies.

Legacy modernisation improves system scalability, operational efficiency, interoperability, and patient experience while supporting modern healthcare technologies.

Legacy modernisation improves scalability, operational efficiency, customer experiences, and integration with modern digital financial services.

Legacy modernisation improves scalability, collaboration, operational efficiency, and integration with modern legal technologies.

Legacy modernisation improves scalability, operational efficiency, system integration, and support for modern connected automotive technologies.

Legacy modernisation improves scalability, operational efficiency, system integration, and support for modern Industry 4.0 technologies.

Legacy modernisation improves scalability, operational efficiency, customer experiences, and integration with modern commerce technologies.

Yes. You are involved throughout the process with regular checkpoints.

No. Integration is designed to fit into your current systems.

No. It is a practical roadmap that can be directly executed by your team or a vendor.

No. Outputs are designed for both business and operations teams.

No. It aligns and enables your existing teams to execute better.

Yes. We guide decisions through MVP builds and deployments.

Typically 3–6 weeks depending on complexity and integrations.

Yes. MVP is built to plug into your current workflows (CRM, ERP, etc.).

Yes. We integrate automated testing workflows directly into CI/CD environments for continuous validation.

Yes. We can assess your current DevOps setup and modernise legacy deployment processes with scalable automation practices.

Yes. We test mobile applications across Android and iOS devices to ensure consistent performance and usability.

Yes. We help organisations strengthen security practices and prepare for compliance and governance requirements.

No. Automation testing works best alongside manual testing to ensure both technical validation and real-world usability testing.

No. Our optimisation approach focuses on improving efficiency while maintaining or enhancing application performance and reliability.

Our modernization approach is designed to minimise operational disruption through phased migration and structured transition planning.

Yes. Many technical debt issues can be addressed through phased refactoring, optimisation, and modernization strategies without complete redevelopment.

Yes. We assess AWS, Microsoft Azure, Google Cloud, and hybrid infrastructure environments.

Yes. We often modernise and restructure legacy systems through phased architectural improvements without full redevelopment.

Yes. We build AI solutions tailored to specific business workflows, operational requirements, and industry use cases.

AI agents can automate customer support, reporting, approvals, research, operational coordination, data retrieval, and internal business workflows.

Yes. We assess generative AI platforms, AI agents, LLM workflows, conversational AI systems, and retrieval pipelines.

Timelines vary depending on complexity, integrations, and workflows, but most POCs are designed for rapid execution and validation.

Yes. We integrate predictive models with enterprise applications, dashboards, APIs, and cloud platforms.

Yes. We integrate generative AI systems with CRMs, ERPs, databases, APIs, and cloud infrastructure environments.

Yes. We develop real-time computer vision systems capable of processing live video streams and operational data.

Yes. We integrate machine learning systems into APIs, cloud platforms, enterprise applications, and operational workflows.

Yes. We integrate conversational AI platforms with CRMs, APIs, enterprise applications, cloud systems, and operational workflows.

We build generative AI systems, AI agents, conversational AI platforms, predictive analytics models, and computer vision prototypes.

Yes. We develop streaming data architectures capable of processing and analysing live operational data.

Yes. We integrate data science models and analytics workflows with enterprise applications, APIs, cloud environments, and operational platforms.

Yes. We migrate legacy data systems to AWS, Microsoft Azure, Google Cloud, and hybrid environments.

Yes. We integrate streaming pipelines with APIs, enterprise platforms, databases, cloud services, and operational systems.

MDM is the process of creating consistent and centralised master records for critical business data such as customers, products, and suppliers.

Yes. We integrate visualization platforms with databases, APIs, cloud services, enterprise applications, and operational systems.

Yes. Big data systems provide the scalable infrastructure required for AI training, predictive analytics, and machine learning workflows.

Yes. We migrate legacy applications, databases, and infrastructure to modern cloud environments using structured transition strategies.

Yes. We integrate automated security scanning, code analysis, and compliance checks into CI/CD workflows.

We support AWS, Microsoft Azure, Google Cloud, hybrid cloud, and multi-cloud infrastructure environments.

Yes. We provide continuous monitoring, alerting, incident management, and operational support services.

Yes. We migrate and modernise legacy applications using structured transition and cloud-native modernization strategies.

Yes. We provide migration planning, readiness assessments, modernization guidance, and cloud adoption roadmaps.

Yes. We deploy cloud-native systems using containers, Kubernetes, microservices, and automation frameworks.

We do not "train" public models on your data, as that risks leakage. Instead, GlobalNodes uses Domain-Grounded RAG (Retrieval-Augmented Generation), an architecture that securely connects a private AI model to your internal documents in real-time.

Cloud migration improves scalability, operational flexibility, reporting speed, and access to real-time logistics data.

Cloud migration improves scalability, supports global content delivery, enhances platform reliability, and reduces infrastructure limitations.

Cloud migration improves scalability, accessibility, collaboration, operational flexibility, and data management across healthcare systems.

Cloud migration improves scalability, operational flexibility, accessibility, disaster recovery, and financial data management.

Cloud migration improves accessibility, operational flexibility, data security, collaboration, and legal document management.

Cloud migration improves scalability, operational flexibility, accessibility, collaboration, and data management across manufacturing and operational systems.

Cloud migration improves scalability, operational flexibility, accessibility, collaboration, and manufacturing data management.

Cloud migration improves scalability, operational flexibility, accessibility, customer experience, and retail data management.

Yes. You get a clear technical narrative to support investor conversations.

Through monitoring, fallback mechanisms, and continuous optimisation.

Yes. This audit can directly transition into MVP builds or full-scale deployment.

You can move into MVP builds or further AI implementation.

Typically within the first few weeks—once structure and tracking are in place.

They usually do. That is why this is structured as an ongoing engagement.

Yes. We ensure full documentation and training for independent operation.

That's the point—you find out early, with minimal cost and clear insights.

We support AWS, Microsoft Azure, Google Cloud, and hybrid infrastructure environments.

We support AWS, Microsoft Azure, Google Cloud, and hybrid infrastructure environments.

Yes. We provide regression testing services to validate that updates or changes do not impact existing functionality.

Security audits should be conducted regularly, especially after infrastructure changes, major releases, or compliance updates.

Yes. We integrate automated testing workflows into CI/CD environments to support continuous delivery processes.

We analyse infrastructure usage, billing patterns, workload distribution, storage consumption, and scaling behaviour to identify optimisation areas.

Yes. We modernise and optimise legacy databases to improve performance, scalability, and maintainability.

Unchecked technical debt can slow development, increase operational costs, reduce system reliability, and limit scalability.

Yes. We evaluate legacy applications and infrastructure to identify modernization opportunities and operational risks.

Yes. We design cloud-native architectures optimised for AWS, Microsoft Azure, Google Cloud, and hybrid environments.

AI solutions can support industries including healthcare, finance, retail, manufacturing, logistics, and enterprise operations.

Yes. We build AI agents tailored to industry workflows, operational requirements, and compliance considerations.

Yes. We review cloud environments, deployment architectures, monitoring systems, and infrastructure scalability supporting AI operations.

Yes. We integrate POCs with CRMs, ERPs, APIs, cloud environments, databases, and enterprise applications.

Yes. We develop predictive analytics solutions tailored to specific business workflows and operational requirements.

Yes. We develop AI agents, enterprise assistants, and conversational AI systems tailored to business workflows.

Yes. We deploy computer vision models on edge devices, embedded systems, and cloud infrastructure environments.

Yes. We build custom ML models tailored to business workflows, operational requirements, and industry use cases.

Yes. We build chatbot platforms, virtual assistants, and voice-enabled AI communication systems.

Yes. We integrate AI prototypes with enterprise applications, APIs, cloud environments, databases, and operational workflows.

We support AWS, Microsoft Azure, Google Cloud, and hybrid cloud environments.

Yes. We develop data science solutions tailored to specific business workflows, datasets, and operational requirements.

Yes. We redesign and automate ETL and ELT workflows to improve processing speed, reliability, and scalability.

Yes. We build and manage streaming infrastructure across AWS, Microsoft Azure, Google Cloud, and hybrid environments.

Yes. Governed data environments improve the reliability and quality of datasets used for AI, machine learning, and analytics systems.

Yes. We develop live reporting systems capable of processing and visualising real-time business data.

Yes. We develop streaming architectures capable of processing and analysing live operational data in real time.

Yes. We help organisations optimise cloud resource usage, reduce operational costs, and improve infrastructure efficiency.

Yes. We secure cloud-native applications, Kubernetes environments, containers, and multi-cloud infrastructure platforms.

Yes. We assess infrastructure usage, identify inefficiencies, and implement optimisation strategies to reduce unnecessary cloud spending.

Yes. We implement security monitoring, governance frameworks, access management, and compliance support across cloud environments.