- Platform configuration and tenant settings, set before anyone gets access
- Access controls: who receives licenses and what data the tool can reach
- Ongoing governance as your staff, your data, and the platform change
AI consulting and Managed AI
AI consulting and Managed AI, run with a security mindset.
Your staff are already using AI tools, whether or not anyone approved them. Gryphon helps you replace that guesswork with a plan: the right platform, deployed in your own tenant, with access controls and governance managed by the team that also runs cybersecurity. Gryphon advises organizations across Minneapolis, the Twin Cities, and greater Minnesota.
Why it matters
AI is already in your organization. The question is whether it is governed.
AI tools take minutes to sign up for. An employee pastes a contract into a free chatbot, or a department buys a few licenses on a credit card, and company information now sits somewhere nobody reviewed. None of that requires bad intent. It only requires a useful tool and no clear rules.
Approved tools carry their own risk. Microsoft 365 Copilot respects existing permissions, which means a folder shared too broadly years ago becomes easy to find for anyone who asks the right question. The fix is not to avoid AI. It is to deploy it deliberately: clean up access first, pick a platform that fits, and put governance around it that people will follow.
Managed AI
First-party AI platforms, managed inside your environment.
Gryphon deploys Microsoft 365 Copilot, ChatGPT Business, or Claude for Teams inside your own tenant. We manage configuration, access controls, and ongoing governance. You keep the vendor relationship and you own your data.
- The vendor relationship and the platform account, in your organization’s name
- Your data, which stays in your own tenant
- The decisions: which teams use AI, for what, and under what rules
How it works
AI adoption without new security gaps.
Each step closes a gap before the next one opens. The tool goes live after the groundwork is done, not before.
Review readiness
Check data permissions, identity controls, and information exposure before any AI tool is turned on.
Choose the platform
Match Microsoft 365 Copilot, ChatGPT Business, or Claude for Teams to how your organization actually works.
Configure in your tenant
Set up the platform, access, and data boundaries inside your own environment.
Set the rules
Put an acceptable use policy and governance standards in place so staff know what is approved.
Manage over time
Keep configuration, access, and governance current as features, people, and risks change.
AI advisory services
AI consulting grounded in how your organization works.
Advisory work stands on its own or leads into Managed AI. Either way, it answers the questions leadership should settle before AI tools spread further.
AI readiness assessment
A review of data permissions, identity controls, and information exposure before AI tools are turned on, so the tool cannot surface what it should not.
Platform selection
A recommendation between Microsoft 365 Copilot, ChatGPT Business, and Claude for Teams based on how your organization actually works, not on the latest headline.
AI acceptable use policy and governance
Clear standards for which tools are approved, what information can go into them, and who approves new requests, matched to your risk tolerance.
Practical use cases
Specific places where AI saves your team time or improves the service you deliver, with the demo-only ideas left out.
AI on the vCIO roadmap
AI licensing, projects, and governance folded into your technology roadmap and budget, so adoption is planned instead of reactive.
vCIO and technology strategyNot sure where to begin?
Start with what your staff are already using and what leadership wants AI to do. We will help you sort out the order.
Talk with an advisorWhy a security-first partner
Turning on AI is an access decision.
AI assistants reach into email, files, chat, and calendars. That makes every rollout a question about who can see what, not just a productivity upgrade. Gryphon runs cybersecurity programs, so we approach AI with the same healthy skepticism we bring to any system with broad access.
- Permissions and identity reviewed before rollout, not after
- AI governance built into the same program as your security policies
- One team accountable for the AI platform and the controls around it
- Risk explained in plain terms, with tradeoffs leadership can decide on
- Adoption that is planned and budgeted alongside the rest of your technology
Industries
Where AI fits in the work you already do.
The useful applications and the guardrails differ by industry. Here is where we start the conversation.
Senior Living
Help with administrative writing and staff communication, with resident health information kept out of tools that are not approved for it.
Explore senior livingManufacturing
Faster work with procedures, quality documents, and vendor communication, with engineering and customer data kept inside approved boundaries.
Explore manufacturingConstruction
Support for bids, specifications, and project documentation across distributed teams that need consistent rules for AI use.
Explore constructionNonprofits
Help with grant writing, reporting, and donor communication, with donor and constituent data handled under clear policy.
Explore nonprofitsDefense Industrial Base
AI tools evaluated against where controlled unclassified information lives, so adoption does not create new problems for CMMC scope.
Explore the Defense Industrial BaseFAQ
AI consulting and Managed AI questions, answered.
Is Microsoft Copilot safe for our organization?
Copilot works inside your Microsoft 365 permissions, so it only shows a person what that person can already access. The catch is that most organizations have files and sites shared more broadly than anyone realizes, and Copilot makes that content easy to find. A safe rollout starts by fixing those permissions.
What should we fix before turning on Copilot?
Start with oversharing: SharePoint sites, Teams, and sharing links open to the whole organization or to anyone with the link. Then confirm identity controls such as multifactor authentication, and label sensitive information so it is handled correctly. An AI readiness assessment gives you that list in priority order.
Do we need an AI acceptable use policy?
Yes, ideally before staff settle on their own rules. A good policy states which tools are approved, what information can and cannot go into them, and who reviews requests for new tools. It should be short enough that people actually read it.
Copilot vs. ChatGPT Business vs. Claude: which is right for us?
It depends on where your work happens. Copilot is built into Microsoft 365 and works across your email, files, and Teams, while ChatGPT Business and Claude for Teams are separate workspaces that teams often use for writing, analysis, and research. We recommend a platform based on your workflows, your data, and your budget, and some organizations use more than one.
Who owns our data when we use AI tools?
On business plans set up under your organization’s own account, your organization owns its data, and the major vendors state that business data is not used to train their models by default. Free and personal accounts carry different terms that are often less protective. That difference is a large part of why approved, managed tools matter.
How does Managed AI differ from just buying licenses?
Buying licenses turns the tool on. Managed AI covers the work before and after that: readiness, configuration, access controls, policy, and ongoing governance as the platform changes. You keep the vendor relationship and your data, and Gryphon manages the setup and the guardrails.
Explore more
Related services and pages.
Next step
Get AI working for your team, with the guardrails in place.
Talk with an advisor about the AI tools your staff already use, the platform you are considering, and what needs attention before rollout.