Hardware and hosting
Dedicated company hardware, private cloud resources, networking, monitoring, backup, and recovery.
Platform / Models, data, systems, and controls
One secure place for employees to use enterprise AI with company information.
RVAi brings the models, company information, employee access, security controls, and automated workflows together into one system your business can manage.
01 / Architecture layers
A useful AI system needs more than a model.
Employees need a secure way to access the AI, the right company information, clear permissions, reliable integrations, and a model that performs well on the work you actually do.
AI models
Models selected for the quality, speed, cost, licensing, and security your work requires.
Company information
Approved access to documents, databases, file repositories, APIs, and business systems.
Employee access
A secure internal interface where approved employees can use AI with the information they are allowed to see.
Automated workflows
AI can perform defined tasks using approved tools, with limits, approvals, logs, and human review where needed.
Dedicated operations
Ongoing software development, usage tracking, model updates, workflow changes, administration, backup, and recovery.
02 / Model selection
We choose the model based on the work.
The strongest system for one workflow may not be the strongest for another. RVAi evaluates candidate models using the client’s actual work and balances reasoning quality with infrastructure cost, latency, concurrency, licensing, security, context, and operating requirements.
The architecture is designed to support model lifecycle management without pretending model replacement is effortless. Every change still requires compatibility review, licensing review, and workflow regression testing.
Candidate private models may be benchmarked against leading proprietary systems where appropriate. The defensible standard is workflow-specific performance, not universal equivalence.
03 / Deployment models
Put the system where it fits your security and IT requirements.
Final architecture is established during assessment and planning after security, performance, data-flow, availability, and operating requirements are understood.
On-premises
Infrastructure deployed within facilities or environments the client controls.
Private cloud
Isolated cloud infrastructure for organizations that prefer a cloud operating model.
Hybrid architecture
A designed combination of private infrastructure, enterprise systems, and approved third-party services where requirements justify it.
04 / Company systems
Connect AI to the information employees already use.
Where the client approves it, RVAi can connect the AI system to company files, databases, productivity tools, finance systems, and internal applications while respecting existing permissions.
Productivity
- Microsoft 365
- SharePoint
- Teams
- Slack
Business systems
- ERP systems
- CRM systems
- Finance platforms
- Reporting platforms
Data and content
- SQL databases
- File repositories
- Internal APIs
- Company knowledge
Named systems are examples of integration capability. Each client environment is scoped; a prebuilt connector is not assumed.
05 / Governance
Control what the system can see, do, and retain.
We set clear rules for who can use the system, what information it can access, what automated actions it can take, what needs approval, what gets logged, and how long information is kept.
Start with the work
Start with the work you want AI to handle.
The assessment identifies the best use cases, tests candidate models, reviews the company systems that need to connect, confirms security requirements, and lays out the implementation, dedicated software support, and cost.
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