Hosting
Managed Azure AI hosting and AWS AI hosting sized to your workload, region and compliance requirements.Reliable infrastructure that scales as adoption grows.
Service · Prototype to Production
Built an AI app? We’ll get it running in production.
Building an AI prototype is easier than ever. Running it securely, reliably and at scale is a different challenge.
We help organisations deploy, host, monitor and support AI applications built with Lovable, Cursor, Bolt, Replit and custom development stacks.
Azure Hosting
AWS Hosting
CI/CD
Monitoring
Security
Human Support
The challenge
The prototype works. Now what?
Many organisations have already built useful AI applications internally. The application itself is often not the problem. The questions that follow usually sound like:
- Where should it be hosted?
- How do we secure it?
- How do we manage updates?
- What happens if it goes down?
- How do we monitor usage?
- Who supports it after launch?
- Do we suddenly need DevOps capability?
This is where most AI projects move from experimentation to operational reality.
What we do
What production actually requires
Security
Authentication, secrets management, access controls and secure architecture built in from day one.Protect customer data, credentials and API keys.
Monitoring
Logs, alerts, uptime monitoring and operational visibility for production AI systems.Identify issues before users experience them.
CI/CD
Controlled deployments, rollback capability and change management for safe, repeatable AI application deployment.Ship updates safely without unnecessary downtime.
Data & Integrations
Reliable connections to CRMs, ERPs, ticketing systems and knowledge stores already running in your business.
Support
Real humans available when something breaks — not a queue, a ticket portal or an offshore handover. Production AI support that stays with you after launch.Fast resolution when business-critical systems need attention.
Production pipeline
From prototype to a system you can rely on
Most prototypes stop at the first box. We help organisations manage everything that comes afterwards.
1PrototypeLovable, Cursor, Bolt, Replit, v0, Claude
2DeploymentCI/CD pipelines, environments, rollbacks
3Cloud HostingManaged Azure & AWS
4MonitoringLogs, alerts, uptime
5SupportHuman on call
6ProductionLive, secure, monitored
Common platforms
Platforms we commonly productionise
Lovable
Bolt
Cursor
Replit
Claude Projects
Custom Applications
The technology used to build the prototype matters far less than how it is deployed, secured and supported once real users depend on it.
Example Production Engagement
Case study
From Prototype to Production in Under 3 Weeks
Internal AI assistant deployed to a secure managed environment
A client had built a working AI assistant internally but lacked a secure and reliable production environment. They needed managed AI infrastructure, monitoring and ongoing support without rebuilding the application.
What we provided
- Azure AI hosting
- CI/CD deployment pipeline
- Key Vault secrets management
- Monitoring and alerting
- Ongoing operational support
Outcome
- Production deployment in under 3 weeks
- 24/7 monitoring
- Secure managed infrastructure
- Ongoing support and maintenance
Example scenarios
Typical projects
Internal Knowledge Assistant
A prototype built by an operations team that needs secure deployment and user management.
Customer Support Assistant
An AI support solution requiring monitoring, escalation workflows and reliability.
Document Processing Workflow
An AI extraction system integrated into existing operational processes.
Proposal & Bid Assistant
An internal AI platform supporting bid teams with content retrieval and drafting.
Typical Production Timelines
How long does AI application deployment take?
Internal Knowledge Assistant
1–3 weeksCustomer Support Assistant
2–4 weeksDocument Processing Workflow
2–6 weeksMulti-System Enterprise Solution
Discovery requiredActual timelines depend on complexity, integrations and security requirements.
Why IntelliMinds
Why organisations choose IntelliMinds
- Assess · Build · Run approach
- Azure and AWS expertise
- AI application deployment experience
- Operational support after launch
- Focus on practical business outcomes
- Ability to support systems built by internal teams
FAQ
Frequently asked questions
We built something in Lovable. Can you support it?
Yes. We regularly work with applications built using Lovable and other AI-assisted development platforms. In many cases the application itself is sound — the challenge is deployment, security, monitoring and support. We help you deploy your Lovable app to production on managed AI infrastructure without rebuilding it.
Do we need to rebuild the application?
Usually not. Most projects can be productionised without starting again.
Can you host on Azure or AWS?
Yes. We support both Azure AI hosting and AWS AI hosting depending on business, technical and compliance requirements, and can work in your existing cloud tenant if you prefer.
Do you provide ongoing support?
Yes. Monitoring, production AI support and operational management are core parts of the service.
How long does production deployment take?
Many projects can be deployed within a few weeks depending on complexity and integration requirements.
Related Services
Continue your AI journey
Get started
Many organisations already have a working AI prototype. The challenge is turning it into a system that is secure, monitored, supported and ready for real users.
Your prototype is only the beginning.
If you’ve built something useful, we’ll help you deploy it properly, secure it appropriately and support it reliably.
How this fits
Where this sits in our Assess → Build → Run model
Run
Prototype to Production
- Managed Hosting
- Monitoring & Support
- CI/CD & Security