Production-first
Designed for real operations with monitoring, rollback, and audit trails.
AI assistants, chatbots, automation, and reporting — reduce manual work, respond faster, and decide from real business data.
Designed for real operations with monitoring, rollback, and audit trails.
Control AI boundaries, access permissions, and sensitive business data.
A team that understands Vietnamese SMB workflows — from operations and support to infrastructure and cloud.
Local team support with replies within one business day.
Clients
Five core AI capabilities plus cloud foundations for production rollout.
View all AI services24/7 customer support with chatbots on real data.
Staff ask in plain language and get answers from approved sources.
Reduce manual data entry and sync across your tools.
Daily reports and early warnings from multiple data sources.
AI works on the systems you already use.
Assistants and automation access real data, call APIs, log actions, and support better decisions.
An AI assistant connected to internal data, APIs, workflows, and knowledge base — for operations and repetitive task automation.
Runs on Kubernetes with guardrails, audit logs, human approval, and data under your control.
How AI connects to your business workflows
FlowNexa products already running in real operations — from AI-ready PMS to multichannel assistants.
Omnichannel · Website, Facebook, Zalo, and webhooks
How FlowNexa built StayLedger AI Assistant, an AI assistant platform that helps hotels, homestays, and serviced apartments automate advisory conversations, operations, and PMS data access.
See how it runsMulti-tenant · Accounts, properties, and roles separated clearly
Building a multi-tenant, AI-ready PMS platform for hospitality operations
See how it runsFlowNexa supports your journey from Microsoft 365 and Windows licensing to domain, identity and infrastructure modernization, then helps migrate email, data and applications to the cloud safely and in controlled phases.
“Provision Microsoft 365 / Windows licenses, standardize infrastructure, and move email and apps to the cloud safely.”
Licenses that fit
Microsoft 365 and Windows matched to each user group — no overbuy.
Cleaner infrastructure
Domain, DNS, identity, and access rights organized from the start.
Apps to the cloud
Email, files, and business apps move to the cloud under control.
Support after go-live
User help, security, and tuning once you are running in the cloud.
Technical cloud roadmap
AI creates sustainable business value only when it runs on secure, reliable and observable infrastructure.
Deploy and optimise cloud or hybrid infrastructure on AWS, Azure, or private servers for stable, cost-effective AI workloads.
Design networks, internet connectivity, firewalls, VPNs, Wi-Fi, servers, NAS, backup, and internal systems for SMBs.
CI/CD, monitoring, logging, security scanning, and production operations so AI runs safely and observably.
Cloud-native infrastructure design on AWS and Azure — from VPC, networking, and identity to multi-region deployment.
EKS, AKS, GKE — design, deploy, and operate Kubernetes clusters for real production workloads.
Jenkins, ArgoCD, GitHub Actions, GitLab CI — automated pipelines from commit to production with clear rollback.
Deploy and optimise cloud or hybrid infrastructure on AWS, Azure, or private servers for stable, cost-effective AI workloads.
Design networks, internet connectivity, firewalls, VPNs, Wi-Fi, servers, NAS, backup, and internal systems for SMBs.
CI/CD, monitoring, logging, security scanning, and production operations so AI runs safely and observably.
Cloud-native infrastructure design on AWS and Azure — from VPC, networking, and identity to multi-region deployment.
EKS, AKS, GKE — design, deploy, and operate Kubernetes clusters for real production workloads.
Jenkins, ArgoCD, GitHub Actions, GitLab CI — automated pipelines from commit to production with clear rollback.
Start with a practical consultation to identify the right AI use case, required data, integration approach, risk boundaries, and MVP roadmap.
We onboard at most three new customers per month to protect delivery quality.
Start small, measure clearly, and scale once the solution proves business value.
Identify the business problem, current workflow, available data, and success criteria.
Define the right use case, architecture, guardrails, cost estimate, and delivery timeline.
Connect data, build the workflow or AI assistant, test, and measure results.
Optimise, add automation, monitoring, access control, and production operations practices.
Pick a scenario to see how FlowNexa connects AI to real operations.
Problem
Support teams spend time repeatedly answering questions about services, consultation information, and support-request status.
Solution
AI chatbot connected to your knowledge base, FAQ, booking system, and CRM — auto-responds, escalates accurately, and logs every conversation.
Outcomes achieved