MDL’s process for secure AI adoption starts with your business, not with an AI tool. Before we recommend a platform or assign a single license, we find out what your company is actually trying to accomplish with AI, then we look at whether your environment is ready to support it safely.
Here is the full path, start to finish:
The first conversation is not about which chatbot to buy. It is about what you want AI to do for you.
We look at:
This step matters because AI spend without a defined use case is where budgets disappear. A Microsoft 365 Copilot add-on license runs roughly $30 per user per month on top of a qualifying base plan. Across 50 users, that is a serious annual number. It should be tied to something you can point at.
Next we look at what you already have. This is the AI readiness assessment, and it covers:
That last point is usually the surprise. Verizon’s 2026 Data Breach Investigations Report found that 45% of employees are now regular AI users on corporate devices, and that shadow AI has become the third most common non-malicious insider action found in breach data. IBM’s research attaches a substantial cost premium to that pattern, and the current figures are on the cost of getting AI adoption wrong.
Blocking AI does not fix this. Giving people an approved tool does.
This is the step most companies skip, and it is the one that causes problems later.
AI assistants like Microsoft 365 Copilot only surface content a user already has permission to see. That sounds safe. In practice, it means every permissions mistake you have ever made becomes searchable in plain English.
So before anything is turned on, we look for:
Where it applies, we use Microsoft Purview Data Security Posture Management for AI and SharePoint Advanced Management to find overshared content, restrict discovery on high-risk sites, and clean up the permissions underneath. SharePoint Advanced Management is included with Microsoft 365 Copilot licensing, so much of this tooling is already yours.
If your organization handles regulated data, this step connects directly to our cybersecurity and compliance work, including HIPAA security compliance, NIST 800-171 assessments, and CMMC readiness.
Once we know what the environment looks like, we help you select the right AI platform and decide which employees should receive access.
For most companies already running Microsoft 365, that means Microsoft 365 Copilot. It runs on your existing tenant, respects your permission model, and does not require you to move data somewhere new. Copilot is an add-on, so users need a qualifying base plan, a mailbox in Exchange Online, and an Entra ID identity in place before licenses can be assigned.
Then we establish governance. Your AI governance policy defines:
We document this properly rather than leaving it as a verbal understanding. Our policy and documentation development team handles the writing so the policy holds up in an audit and in practice.
Governance frameworks like the NIST AI Risk Management Framework and ISO/IEC 42001 give useful structure here, especially if a customer or insurer starts asking how you govern AI.
We do not recommend deploying AI companywide on day one.
Instead, we move into a controlled rollout with a defined pilot group. That group:
Training is not optional here. Employees who understand the tool and the rules stop reaching for personal accounts and consumer versions. Pair this with cybersecurity and phishing training and you address both the AI risk and the human risk at the same time.
Once the foundation is working correctly, you expand. More employees, more departments, more use cases.
We keep managing and adjusting the environment as AI tools change and your business changes. Permissions drift the moment someone creates a new Team or a new site, so oversharing reviews become recurring work, not a one-time cleanup.
This runs inside our managed Microsoft 365 services and broader IT services, so AI management is not a separate vendor relationship you have to babysit.
It depends on the size and complexity of your organization.
Faster path: A small or mid-market company with a clean Microsoft 365 environment can often move into a pilot relatively quickly.
Longer path: A company with complicated permissions, sensitive data, regulatory requirements, or multiple systems needs more preparation before a pilot makes sense.
The important point is that this does not have to become a massive, year-long project. We identify the highest risk items first, build a secure foundation, and start getting business value from AI as quickly as possible.
At the end of the engagement, you have:
Most importantly, leadership has visibility and control over how AI is being used inside the company.
MDL Technology has supported Kansas City businesses since 2003 from our office in North Kansas City. We hold ISO 27001-aligned processes and work daily inside Microsoft 365 environments across healthcare, accounting, professional services, manufacturing, and the public sector.
We serve businesses across Kansas and Missouri, including Kansas City, MO, Overland Park, Olathe, Lee’s Summit, Lenexa, Leawood, Topeka, and Saint Joseph.
If you already have an internal IT team, our co-managed IT services let us handle the AI readiness and governance work alongside them rather than replacing them.
The consumer version and the business version are effectively different products from a security standpoint. Business and enterprise tiers typically offer data handling terms, admin controls, and audit logging that free tiers do not. We review the specific tier and contract terms before approving any tool.
You usually cannot tell without looking. Our assessment reviews browser activity patterns, connected apps in your Microsoft 365 tenant, and endpoint data to surface unsanctioned tools. Most companies find more AI in use than leadership expected.
In almost every case, yes. Copilot surfaces content based on existing permissions, so overshared sites become far easier to stumble into. We recommend running an oversharing review before any licenses are assigned.
Yes, but the controls need to be right first. That means restricting what AI tools can access, documenting the governance, and confirming the platform meets your regulatory obligations. We handle this as part of our compliance work.
The standard Microsoft 365 Copilot add-on is around $30 per user per month and requires a qualifying base license such as Microsoft 365 E3, E5, Business Standard, or Business Premium. Microsoft introduced additional bundled options in mid-2026, so we price it against your current licensing before you commit.
Start with a defined group rather than the whole company. A single department or a cross-functional group of engaged users is usually enough to prove value and surface issues before you scale.
Yes. A short, readable policy that names approved tools and prohibited data types prevents most problems and takes far less time to produce than cleaning up after an incident.
No. We are based in North Kansas City and serve businesses throughout Kansas and Missouri, with both remote support and on-site visits across the metro.
We help companies determine where AI makes sense, secure the foundation, deploy the right tools, train the right people, and scale from there.
Call 816-781-3006 or request a proposal to see how MDL’s process for secure AI adoption applies to your environment.
