Service
Private and On-Premise AI Consulting
NextGridIT consults on private AI deployments for organizations that want the leverage of modern language models without sending sensitive data to third-party platforms. Services include model selection guidance, hardware and infrastructure planning, inference workflow design, and operational controls for environments where data privacy matters. This is a consulting engagement — we help you design and plan the right approach for your environment, whether that's a single GPU workstation or a multi-node cluster.
Who this is for
Best fit for organizations exploring AI adoption but concerned about data privacy, security teams evaluating private inference options, and businesses that want a realistic assessment of what local AI can and cannot do for them today.
Organizations exploring AI adoption but concerned about data privacy
Security teams evaluating private inference options for sensitive workflows
Businesses that want a realistic assessment of what local AI can actually do for them
Our approach
Use case assessment
3-5 daysWe evaluate whether local AI fits your specific use case and budget. This is an honest assessment — some workflows work well today, others still need cloud-scale models. You get a clear answer, not vaporware.
Infrastructure planning
3-5 daysFor viable use cases, we plan the hardware, model selection, and infrastructure requirements. Many useful models run on consumer-grade hardware — you don't always need expensive GPU clusters.
Deployment design
3-5 daysWe design the inference workflow, operational controls, and data governance for your environment. The focus is on keeping your data inside your environment while getting the leverage of modern AI.
Roadmap and handoff
2-3 daysWe deliver a practical deployment roadmap with governance considerations, hardware specifications, and a clear timeline. This is a consulting engagement — you own the plan and the infrastructure.
Typical outcomes
- A realistic assessment of whether local AI fits your use case and budget
- Infrastructure and hardware planning for on-premise model serving
- A practical deployment roadmap instead of vaporware promises
Pricing
Project-based. Private AI consulting engagements typically range from $3,000-$8,000 depending on use case complexity and infrastructure requirements. Does not include hardware costs.
Every engagement starts with a conversation. We scope the work, agree on deliverables, and provide a clear quote before anything begins.
Delivery
Remote-first for assessment and planning. On-site available for infrastructure review in Upstate SC.
Related industries
Small and Mid-Sized Businesses
MSP transitions, vendor independence, IT cleanup, and security hardening for businesses that need a technical partner who shows up.
Medical Offices and Healthcare Practices
HIPAA security assessments, Microsoft 365 cleanup, and compliance-aware support for independent medical practices.
Related service areas
Greenville, South Carolina
Business IT support, HIPAA assessments, Microsoft 365, vulnerability assessments, and network services for Greenville, South Carolina.
Clemson, South Carolina
Microsoft 365 administration, HIPAA security assessments, and compliance-aware IT support for organizations in Clemson, South Carolina.
Anderson, South Carolina
Network upgrades, security hardening, vulnerability assessments, and IT support for organizations in Anderson, South Carolina.
Related guides
HIPAA Security Assessment Checklist for Medical Offices
A practical checklist for small medical practices preparing for a HIPAA security assessment, including what to gather, what auditors look for, and how to close common gaps.
How to Transition Away from Your MSP and Take Control of Your IT
A practical guide for businesses that have outgrown their MSP, want to bring IT in-house, or need to fire their current provider without losing access to their systems.
Microsoft 365 Security Basics Every Business Should Know
Most small businesses set up Microsoft 365 and never look at the security settings again. This guide covers the essentials that every M365 tenant should have configured — and what happens when they aren't.
Frequently asked questions
Is local AI ready for production use in small businesses?
It depends heavily on the use case. Some workflows — document search, code assistance, internal knowledge bases — work well today. Others still need cloud-scale models. An honest assessment of what's real versus what's hype is part of the consulting process.
Do we need expensive GPU hardware?
Not necessarily. Many useful models run on consumer-grade hardware. The right approach depends on your use case, data volume, and performance requirements — which is exactly what the assessment covers.
Ready to get started?
The fastest way to start is by telling us your location, timeline, and the main problem you need solved. We reply to every inquiry.