Your team is already using AI.
The question is whether anyone is managing it.
Most companies don't have an AI strategy. They have employees using AI tools independently, vendors pitching AI-powered everything, and leadership trying to figure out what's real, what's risky, and what's actually worth doing. We help you sort that out.
AI advisory is not a product. Every company is different, every situation has different risks and different opportunities, and every engagement starts with a conversation before it starts with a scope. If you're trying to figure out where AI fits in your business, this is where that conversation happens.
No commitment. No pitch deck. You describe where you are and we'll tell you honestly what makes sense.
Everyone is selling AI. Almost nobody is evaluating it independently.
Every software vendor has rebranded their product as AI-powered. Every consultant is offering to build you a custom GPT. Every conference keynote ends with a slide about transformation.
What most business owners actually need is someone who will tell them the truth: which of these tools are worth the cost, which create security or compliance exposure, which will create more work than they eliminate, and what you actually need to do before your employees start pasting client data into a chatbot.
That conversation doesn't happen when the person across the table is trying to sell you something. It happens when they have no stake in what you buy.
Four areas where AI is already creating exposure
Most engagements start in one of these four places.
Shadow AI
Your team is already using AI tools, probably without IT's knowledge and without any policy covering what data goes where. Finding out what's in use is usually the first thing worth doing.
AI Governance & Policy
An acceptable-use policy, data classification guidelines, and a clear employee training outline. The baseline that cyber insurers, enterprise clients, and SOC 2 auditors are starting to ask about.
AI Vendor Evaluation
If you're being pitched an AI tool, you need someone evaluating it on your behalf. What does it actually do, what does it cost fully loaded, what data does it process, and what happens if it goes wrong?
AI Strategy & Roadmap
For companies that want to move from reactive to intentional. Where AI creates real operational leverage for your specific business, what to build toward, and how to sequence it without creating risk.
Every engagement starts the same way.
A 30-minute call. You describe your situation, your goals, and what you're dealing with. We ask questions. At the end of that conversation, one of three things happens:
We scope a focused engagement around your question. Discovery, analysis, written findings, a debrief call. Duration and scope defined upfront before any work starts.
AI advisory folds into your Fractional CTO retainer as a named lane. Vendor reviews, policy maintenance, team guidance, and board-level communication on AI topics handled as part of the ongoing relationship.
We tell you that. If what you need is better served by a different resource, we'll say so. That happens more often than you'd expect and it is the only way this model works.
Why this is different from an AI consultant.
Most AI consultants are trying to get you to buy or build something. Their business model requires it.
We come at this from the other direction. Our default assumption is that you probably don't need everything you're being pitched, that the security and compliance exposure is higher than your current IT team has told you, and that the most valuable thing we can do is help you ask the right questions before you spend money or create risk.
We're not an AI agency. We don't build AI products. We don't earn margin on the tools you adopt. The only thing for sale is judgment, and that only works if it's honest.
What we bring to an AI engagement
- Independent evaluation of tools with no vendor relationships
- Security and compliance context from your existing risk posture
- Integration with your existing IT environment and vendor relationships
- Written findings you can take to your board, your insurer, or your team
- Experience translating technical decisions into business language
Areas we work in
- —AI acceptable-use policy development
- —Shadow AI discovery and inventory
- —AI tool evaluation and vendor assessment
- —Data classification for AI workloads
- —Employee AI training outlines
- —AI governance framework development
- —SOC 2 and cyber insurance AI addendums
- —Microsoft 365 Copilot readiness and governance
- —AI roadmap development for executive teams
- —Board-level AI communication and reporting
Common questions
Related services
Fractional CTO Advisory
AI governance becomes easier when it is part of an ongoing technology leadership relationship. Fractional CTO clients get AI advisory folded in as a named lane, not a separate engagement.
Learn moreMSP Advisory
AI policy and governance increasingly shows up in the same conversations as IT vendor oversight, cyber insurance, and SOC 2 readiness. If you are working through any of those, AI is likely already part of the picture.
Learn moreRelated reading
Long-form pieces on the AI questions that come up most often in these conversations.
- Shadow AI: What It Is, Why It's Already in Your Business, and What to Do About It
- What an AI Readiness Assessment Actually Covers (And Whether You Need One)
- How to Write an AI Acceptable Use Policy (Without Making It 30 Pages Nobody Reads)
- What to Do Before You Roll Out Microsoft Copilot in Your Business
- How to Evaluate AI Tools Without Getting Sold Something You Don't Need
Not sure where to start?
That is the right place to be. Most of these conversations start with someone who is not sure what they need, just that something about AI in their business needs attention. That is a good enough reason to talk.
Book a 30-Minute CallNo commitment. We will tell you honestly whether we can help and what that would look like.