Managed AI Services in Charlotte, NC
in Charlotte, North Carolina
Netsafe Solutions delivers Managed AI services across Charlotte — Copilot deployment, custom AI agents, AI governance, and automation builds. Real AI delivery experience from a 22-year Microsoft Partner.
Netsafe Solutions delivers Managed AI services to Charlotte-area businesses from our office at 8510 McAlpine Park Drive, Suite 203. Our work spans four named areas: AI consulting and governance, Microsoft Copilot deployment and licensing, custom AI agent and automation builds, and managed AI operations. We build on Anthropic's Claude API, Microsoft Azure, and the Microsoft 365 AI stack, and we run AI in production for our own business — most recently an automated customer security evaluation platform that analyzes client posture across M365, NinjaOne, SentinelOne, Pax8, and QuickBooks. Pricing is quoted per engagement for project work and per user per month for Copilot licensing ($30/user/month on top of M365 base plans).
What Are Managed AI Services?
Managed AI services is a category where a technology provider helps a business select, deploy, govern, and operate artificial intelligence tools on their behalf. It covers the full lifecycle: figuring out where AI actually fits, licensing the right platforms, deploying them safely, training users, writing governance policies, and building custom applications when off-the-shelf tools don't cover the use case.
Why this is different from "AI-washing": Most MSPs talk about AI in marketing copy but don't actually deliver AI services. Being useful requires real engineering work — deploying Copilot responsibly means auditing SharePoint permissions first so Copilot doesn't surface confidential data to the wrong user. Building a custom AI agent means writing code against LLM APIs, handling tool calls, managing context windows, and shipping something your team can operate. That's the work Netsafe does.
Netsafe has been running AI in production internally since 2025, including a custom automation that drafts and publishes SEO content daily using Claude Opus and Sonnet, and a customer security evaluation platform that pulls data from M365 Graph, NinjaOne RMM, SentinelOne, Pax8, and QuickBooks to generate security posture reports automatically.
What Does Netsafe Solutions Provide?
AI Consulting & Governance
Before you deploy anything, you need a clear answer to three questions: What does AI actually solve for this business? What does it put at risk? And what guardrails prevent the worst-case scenarios?
Our AI consulting engagements produce:
- AI readiness assessment — audit of current data classification, SharePoint/OneDrive permissions, and identity posture (Copilot inherits all of these)
- Use-case prioritization — we map potential AI deployments against business impact and implementation cost so you start with high-leverage, low-risk wins
- AI acceptable use policy — written policy covering which tools employees can use, what data is prohibited from being entered into AI, how generated content is reviewed before client delivery, and approval process for new AI tool requests
- Data loss prevention (DLP) for AI — Microsoft Purview sensitivity labels, conditional access policies that block consumer AI tools on managed devices, and M365 Copilot content filtering
- Training rollout — acceptance depends on adoption; we build internal champion programs and role-specific training rather than generic webinars
Microsoft Copilot Deployment & Licensing
Microsoft 365 Copilot is the broadest-reaching business AI tool in the Charlotte SMB market, and most deployments underperform because rollout skips the prep work. We run Copilot deployments end to end:
- Licensing strategy — $30/user/month on top of base M365 plans; we recommend pilot groups of 5-15 high-leverage users (execs, finance, marketing, ops) before company-wide rollout
- SharePoint & OneDrive permissions audit — Copilot indexes everything a user has access to, which means bad permissions become obvious immediately. We clean this up before deployment, not after a leak.
- Sensitivity labels & Purview DLP — block Copilot from ingesting confidential files, financials, or regulated data
- Usage monitoring — most Copilot licenses go unused without structured onboarding; we track adoption per user and intervene
- Copilot Studio for custom scenarios — when standard Copilot doesn't cover the use case (e.g., a custom Q&A agent over your SOPs), we build it in Copilot Studio and deploy through Teams
- Training and documentation — role-specific playbooks for how your finance team, sales team, or operations team actually uses Copilot in daily work
Custom AI Agents & Automation Builds
When off-the-shelf AI doesn't fit, we build custom agents and automation on top of enterprise-grade platforms:
- Claude API integrations — custom agents built on Anthropic's Claude Opus and Sonnet models, same stack Netsafe uses for internal automation
- Azure OpenAI Service — for businesses with Microsoft-only data sovereignty requirements
- Power Automate flows — approval workflows, document generation, data extraction from emails/PDFs into line-of-business systems
- Model Context Protocol (MCP) servers — custom MCP servers that connect AI to your HubSpot CRM, QuickBooks, M365 tenant, or industry-specific systems (Netsafe has built seven production MCP servers in the last six months)
- Retrieval-Augmented Generation (RAG) — custom knowledge bases that let AI answer questions grounded in your actual documents, SOPs, and client data without retraining a model
- Full-stack AI applications — hosted on Azure Container Apps or Azure Functions, with Azure Key Vault for secrets, Azure Blob for state, and GitHub Actions for deployment
Managed AI Operations
For businesses running AI in production, Netsafe provides ongoing operations:
- Prompt and agent version management — track which prompts are in production, roll back failures, A/B test new versions
- Usage monitoring and cost control — LLM API costs can spike unexpectedly; we set spend alerts and budget caps per workload
- Model selection and upgrades — when Anthropic releases Claude 4.7, we evaluate and roll it in where it helps
- Response quality auditing — sampling outputs against quality rubrics to catch drift before users notice
- Failover and fallback — multi-provider setups (Claude + OpenAI + Azure OpenAI) so a single API outage doesn't take down your AI feature
- Integration maintenance — when Microsoft Graph or HubSpot APIs change, we update the integration before your automation breaks
Pricing
Managed AI services are priced per engagement, not as a single flat fee. Here's how we quote:
No onboarding fee. All of our AI engagements start with a free discovery call to scope the work honestly. If AI isn't the right answer for what you're trying to do, we'll tell you and suggest an alternative.
No onboarding fee — Contact us for a custom quote →
Why Charlotte Businesses Choose Netsafe for Managed AI
Frequently Asked Questions
What's the difference between AI consulting and AI development?
Consulting is strategic — use case selection, governance, policy, training, rollout planning. It produces documents, decisions, and deployments of existing tools.
Development is engineering — writing code against LLM APIs, building custom agents, standing up automation workflows, shipping production applications. It produces software.
Netsafe does both, and most AI engagements start with consulting to decide whether development is even the right answer.
How much does Microsoft 365 Copilot cost?
$30 per user per month MSRP, on top of your base Microsoft 365 plan. So a Business Premium user would run $26.40 + $30 = $56.40 per month all-in. No annual commitment required when purchased through Pax8. We typically recommend piloting with 5-15 users before company-wide rollout because most Copilot licenses go underused without structured onboarding.
Can Netsafe build a custom AI chatbot for our website or internal use?
Yes. We build custom AI agents and chatbots using Anthropic's Claude API, Azure OpenAI, or Copilot Studio depending on where the bot needs to live and what data it needs to access. For internal Q&A over company documents (SOPs, HR handbooks, client contracts), Copilot Studio or a custom Claude-based RAG agent are the two most common approaches.
Is our data safe if we deploy Copilot or custom AI?
This is the #1 question we get, and the answer depends entirely on how you deploy. Microsoft 365 Copilot data stays within your tenant and is covered by Microsoft's data protection commitments — it's not used to train public models. Anthropic's Claude API and Azure OpenAI offer similar commercial data protection. The risk is almost never the platform; it's permissions and policy. Copilot will surface whatever files your users have access to — if permissions are loose, Copilot will expose that loose-ness. Our deployment process fixes this before rollout.
What AI tools does Netsafe actually use internally?
- Anthropic Claude Opus and Sonnet — custom automations, content generation, customer evaluation analysis
- Azure OpenAI — for specific client workloads with Microsoft data residency needs
- Microsoft 365 Copilot — daily productivity across our team
- Custom MCP servers — seven in production as of April 2026, connecting Claude to HubSpot, QuickBooks, M365 Graph, NinjaOne, SentinelOne, Pax8, and DataForSEO
- Power Automate — approval workflows and document automation for operations
Do I need managed IT services from Netsafe to engage for AI work?
No. AI consulting, Copilot deployment, and custom AI builds are available as standalone engagements for businesses that have their own internal IT or a different MSP. That said, AI deployments that touch Microsoft 365 data (which most do) go smoother when the M365 tenant is already properly configured — so an initial security gap analysis is often the right first step. See Security Gap Analysis for that engagement.
How fast can Netsafe deploy Copilot for our team?
Pilot deployment for 5-15 users: 1-2 weeks from kickoff, including SharePoint permissions audit, sensitivity label configuration, and training. Company-wide rollout (50-250 users): 4-8 weeks depending on the cleanup required on SharePoint/OneDrive permissions. The long pole is almost always permissions cleanup — if a company's SharePoint is already well-governed, Copilot can deploy in days.
What's Model Context Protocol and why does it matter?
Model Context Protocol (MCP) is an open standard (released by Anthropic in 2024) for connecting AI assistants to external systems — CRMs, databases, file systems, cloud services. Instead of writing one-off integrations for every AI tool, MCP gives you a reusable server that any compliant AI assistant can use. Netsafe has built seven production MCP servers — this is a structural advantage over MSPs still doing one-off integrations, because our AI agents can plug into HubSpot, QuickBooks, M365, NinjaOne, SentinelOne, or Pax8 as needed.
Do you work with AI providers other than Microsoft and Anthropic?
Yes — we've integrated with OpenAI directly, Google Gemini for specific use cases, and open-source models via Azure AI Foundry. Our default recommendation for most Charlotte SMBs is Microsoft Copilot (for end-user productivity) plus Claude API (for custom automation), but we pick the right model for the workload rather than defaulting to a single vendor.
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(704) 333-0404
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Areas We Serve
Netsafe Solutions provides managed ai services across 27 cities in North Carolina and South Carolina.
North Carolina: Charlotte, Concord, Huntersville, Matthews, Cornelius, Waxhaw, Gastonia, Kannapolis, Monroe, Mooresville, Salisbury, Statesville, Hickory, Newton, Shelby, Albemarle, Greensboro, Winston-Salem, Lexington
South Carolina: Rock Hill, Fort Mill, Columbia, Spartanburg, Lancaster, Chester, York, Gaffney
Netsafe Solutions — managed ai services in Charlotte since 2003.
8510 McAlpine Park Drive, Suite 203, Charlotte, NC 28211 | (704) 333-0404
Last Updated: April 2026