Intelligent
Your business, always advancing.
Every major technology revolution in modern business history has created the same divide: organizations that adopted it well moved forward. Organizations that waited, or adopted it without a real strategy, fell behind. The internet. Email. Cloud computing. Mobile. Each one reshaped the competitive landscape - and each one rewarded the organizations that were intentional about how they made the transition.
We are in that moment right now with artificial intelligence. But Intelligent is broader than AI adoption. It's about business transformation and innovation - using technology not just to maintain what you have, but to fundamentally improve how your organization operates, competes, and creates value. AI is the current frontier of that transformation. It will not be the last.
What separates a successful AI deployment from a liability is governance - knowing what you're deploying, what data it touches, what your regulatory obligations require, and what happens when the output influences a real business decision. We build governance into every engagement from the start, not as a separate checklist, but as the foundation the whole approach rests on. Our AI practice is run by a cybersecurity and compliance firm. That means the questions your security team, your compliance officer, and your auditor will eventually ask are already part of the conversation before anything is deployed.
What This Delivers
Services
Microsoft Copilot Deployment
End-to-end Copilot for Microsoft 365 deploymen: licensing, security configuration, governance policy, and user enablement. Deployed correctly in your specific compliance environment.
FAQs
Q1: Is AI safe to use if we operate under HIPAA, CMMC, or other compliance frameworks?
A: That's exactly the right question to ask before deploying anything, and most organizations don't ask it until after something goes wrong. Not all AI tools handle regulated data the same way. Microsoft Copilot in a standard M365 tenant, for example, behaves differently than Copilot deployed in a Government Community Cloud environment built for CMMC or federal compliance. Our approach starts with your compliance obligations and works forward from there. Every deployment we do includes a review of data access, retention, and regulatory alignment before anything goes live.
Q2: We already have team members using AI tools informally. Where do we start? A: That's actually one of the most common places organizations are when we first talk to them, and it's useful information, not a problem. Informal AI use tells you where the appetite is and where the gaps are. An AI Workshop is typically the right starting point: it maps what's already in use, surfaces the governance gaps, identifies where the real value opportunities are, and produces a roadmap your team can act on. It's designed to meet you where you are, not assume you're starting from zero. |
Q3: What does AI governance actually look like in practice? A: It starts before deployment with a clear policy framework: what tools are approved, what data they can access, what the acceptable use rules are, and how violations are handled. It continues through the deployment itself: security settings, data controls, tenant configuration, access management. And it extends into ongoing monitoring and policy updates as the tools evolve and your regulatory landscape changes. Governance isn't a document you file once. It's an operational practice. We help you build it and keep it current. |
Q4: How is working with Appalachia on AI different from going to a standard IT or Microsoft partner? A: Most IT partners can help you purchase and install AI tools. Our AI practice is run by a cybersecurity and compliance firm which means every engagement comes with governance built in from the first conversation. We're asking questions about data access, security configuration, regulatory alignment, and acceptable use policy before deployment begins. That's not standard in the market. It's the difference between adopting AI and adopting AI responsibly. |