AI is already in your office, whether or not anyone approved it. Staff paste emails into chatbots, Microsoft Copilot (formerly Microsoft 365 Copilot) is a license away, and every vendor has added an AI button. Mash IT helps businesses use AI on purpose: in the Microsoft tools you already run, connected to your own data, and with the guardrails a regulated business needs.
What we build
Our AI work happens inside the Microsoft environment most of our clients already use: Microsoft 365, Microsoft Copilot, Copilot Studio, Power Platform and Microsoft Purview. That keeps your data under the same identity, security and compliance controls as everything else.
- [AI readiness](/projects/artificial-intelligence/organization-readiness). Before Copilot goes live, we find and fix overshared files, set up sensitivity labels, write an AI use policy and plan a pilot. Copilot shows people everything they already have access to, so access has to be right first.
- [AI agent automation](/projects/artificial-intelligence/agent-automation). Custom agents and automated workflows built in Copilot Studio and connected to your systems: answering staff questions from your own policies and documents, routing requests, drafting routine paperwork, and moving information between apps with a person approving where it matters.
- [AI data security](/projects/artificial-intelligence/ai-data-protection). Visibility into which AI tools your staff use, rules for what can go into them, and Purview controls that keep sensitive data out of the wrong place.
Who it's for
Businesses that want the productivity of AI without guessing at the risk, especially in regulated work. A medical practice can't have patient details pasted into a public chatbot. A financial firm needs to know what an agent can see and do. A growing office wants routine work automated without building something nobody can maintain.
How an AI project runs
- Conversation. We start with the work you want to speed up and the data involved, not with a product.
- Readiness check. Licensing, permissions and data protection are reviewed before anything goes live.
- Pilot. A small group tries Copilot or a new agent on real work, so the value is proven before rollout.
- Rollout and training. Wider deployment, with guidance on what the tools are good at and where to double-check them.
- Governance. Agents are documented, owned and monitored, so they don't become the next unmanaged system.
Planning for the long run
AI decisions belong in your technology plan alongside budgets and lifecycles. Our vCIO and IT strategy service keeps AI on that roadmap, and cybersecurity work makes sure new tools don't open new holes. We work with businesses in Lexington and across Central Kentucky, on-site when it helps.
AI projects
- AI Agent Automation for BusinessCustom AI agents and automated workflows built in Microsoft Copilot Studio, connected to your systems, with people approving what matters.
- AI Readiness Assessment for OrganizationsGet ready for Microsoft Copilot and AI: oversharing cleanup, sensitivity labels, an AI use policy, licensing review and a pilot plan.
- AI Data Security for BusinessKeep sensitive data out of the wrong AI tools: visibility into AI use, an acceptable use policy, Microsoft Purview protections and staff training.
Common questions
No. Readiness and AI data security work help whether or not you buy Copilot, and some agents can run in Copilot Chat. We'll tell you honestly whether Copilot licenses make sense for your team.
Microsoft states that prompts, responses and organizational data accessed through Microsoft Copilot aren't used to train its foundation models. Public consumer chatbots are a different story, which is why an AI use policy matters.
It can, inside the right controls. We set up permissions, sensitivity labels and Purview policies first, and keep humans reviewing anything that matters.
Usually with an AI readiness assessment. It shows what's overshared, what your licenses cover and which use cases are worth piloting first.