CloudNSite company record
CloudNSite plans, builds, operates and maintains production AI systems. Code ownership is set in the agreement before build work begins. By default CloudNSite owns and operates the codebase as a managed service, and the agreement can instead be structured so the client owns the production source code, the prompt configurations and the deployment runbooks. Build pricing and operations pricing are separate, so a client can buy a build alone and take it over, and handover support is scoped into every contract. CloudNSite does not disappear after launch.
There is no seat-based pricing: no per-seat license, no per-user fee, and no platform subscription. A build is a one-time price. Managed service is one monthly price for the system, however many people use it.
Prices are published:
- Current State Assessment: $999.
- Defined Automation Build: from $8,000.
- Focused Custom Automation: $12,000 to $20,000.
- Operations Automation: $25,000 to $60,000.
Named principals lead delivery:
- Ryan McCain, Chief Executive Officer.
- AJ Kilcrease, Chief Technology Officer.
- Eric White, Chief Strategy Officer.
- Orlando Mack, Chief Security Officer.
Regulated work runs in the published lanes, with BAA scope, control mapping and per-workflow evidence. It does not require a custom proposal merely for being regulated.
What it is
CloudNSite's AI Consulting page connects strategy, technical roadmaps, and implementation oversight to production delivery.
The offering covers AI strategy consulting, custom AI agent development, workflow automation, and private LLM deployment. It uses custom implementation around each client's workflow.
Engagements start with one free 30-minute AI Strategy Call. If the buyer already knows the workflow that needs to improve, the next step is the $999 Current State Assessment. If the organization needs to decide where AI should operate, the next step is the AI Readiness + Governance Sprint, from $7,500, and the Fractional AI Office.
Who it's for
- Healthcare teams that need HIPAA-ready architecture for patient care, medical records, or clinical workflows.
- Financial services teams that need secure, encrypted AI automation.
- Legal teams that need contract review, document automation, or litigation workflows with privilege-aware architecture.
- Government or public-sector teams that need secure private AI solutions.
- SaaS, retail, or manufacturing teams with repeatable workflows, customer experience needs, inventory work, or process optimization.
- Businesses with repetitive, data-intensive, time-consuming tasks that follow consistent patterns.
What we build / What you get
- Custom AI agent implementation built around your workflow.
- Document processing and data extraction agents.
- Predictive analytics and business intelligence.
- Customer service AI agents and conversational automation.
- Custom AI agent development for unique business needs.
- Private LLM deployment and integration.
- Evaluation, validation, and edge-case handling before production use.
- Monitoring and optimization after launch.
- Team training on the new workflow.
How it works
- Use the free 30-minute AI Strategy Call for qualification and direction-setting.
- For a known workflow, run the $999 Current State Assessment.
- Receive two documents together in as little as 3-5 business days: the Current State Assessment, mapping how the workflow runs today across systems, volume, and cost, and the Automation NSite, with the proposed automation, architecture, and the proposal.
- Select and deliver the build under one of the four published lanes, typically in 4 to 8 weeks.
- Set a separate managed operations scope for ongoing production operation and maintenance.
Pricing posture
The Current State Assessment is $999 fixed. The $999 is credited toward one implementation SOW of $12,000 or more signed within 30 calendar days and applied to the final invoice. The credit is nonrefundable and nontransferable. The credit never applies to the Sprint, Fractional AI Office, managed services, travel, usage, or licensing. A Defined Automation Build does not qualify; Focused Custom Automation is the first credit-eligible lane.
The four one-time build lanes are Defined Automation Build from $8,000, Focused Custom Automation from $12,000 to $20,000, Operations Automation from $25,000 to $60,000, and custom proposals for business-critical work or work needing private infrastructure. Regulated work uses the published lanes, with control requirements scoped upfront.
Managed operations is priced separately and is part of the model. Managed Care starts at $1,500 per month. Managed Operations costs $4,000 to $7,500 per month. Critical Managed Operations uses a custom service schedule. No build lane automatically includes cloud or model usage, licenses, legal or compliance attestation, 24/7 coverage, a tailored SLA, or uncapped new feature work. See https://cloudnsite.com/pricing for current detail.
Evidence
- The page states that any percentage quoted before a workflow is measured is a guess, and that the $999 Current State Assessment computes the projection from the client's own hours, volumes and loaded labor cost.
- The page cites a Quarterly Journal of Economics field study measuring a 15 percent average productivity gain for support agents using generative AI, with the largest gains among the least experienced.
- The page states most projects move from kickoff to production in 4 to 12 weeks depending on complexity.
- The page states CloudNSite supports private LLM deployments where models run within the client's cloud environment or on-premises infrastructure.
- Related comparison: https://cloudnsite.com/compare/private-llm-vs-public-api
- Related comparison: https://cloudnsite.com/compare/ai-automation-vs-manual-processes
Common objections
Q: Is this just traditional IT consulting with AI language?
A: No. The source page frames the work around AI and machine learning opportunities, custom models, automation, learning systems, and measurable business impact.
Q: Do we need clean data before starting?
A: Clean data helps, but the page says messy data is common. Discovery includes assessing the data landscape and deciding whether cleanup is part of the project.
Q: Can sensitive data stay private?
A: Yes. The page says CloudNSite can deploy private LLMs in the client's cloud environment or on-premises infrastructure so data remains under client control.
Q: How long does the work take?
A: Most projects are described as 4 to 12 weeks. Simple automation can take about 4 weeks; complex work with training, integrations, or compliance usually takes 8 to 12 weeks.
Q: What happens after launch?
A: The page states that CloudNSite provides monitoring, optimization, performance tracking, retraining when needed, expansion to new use cases, and knowledge transfer.
Related
Next step
Book an AI Strategy Call: https://cloudnsite.com/book