AI is in your business already, whether you've governed it or not. We come alongside small and mid-market companies to design and install custom AI governance and data privacy frameworks. That's work the Big 4 and law firms aren't built to deliver at your scale, designed to protect what you've built and drive what's next.
Small and mid-market businesses are deploying AI at the same pace as the Fortune 500. The same questions are landing on their leadership teams. The same regulations are starting to apply. The same enterprise customers are demanding AI risk attestations as a condition of buying. The risk is real, and the cost of waiting compounds the same way.
The difference is that the law firms, Big 4 consulting firms, and enterprise-focused advisories that dominate the AI governance market are not built for businesses your size. They are built for clients with seven-figure consulting budgets, internal counsel teams of dozens, and compliance functions that already exist. Their pricing reflects those assumptions. So does their delivery model. So does what they show up with on day one.
Intrevus is built specifically for the businesses those providers don't serve well. The guidance is the same caliber. The structures hold up under the same scrutiny. The engagements are scoped to what a small or mid-market business actually needs, run by senior partners directly, and priced for businesses operating in the real world rather than businesses imagined in an enterprise procurement system.
AI deployment is moving faster across small and mid-market companies than the structures that govern it. Boards ask harder questions. Procurement teams demand documented AI governance and privacy posture as a condition of signing larger deals. Regulators publish faster than internal counsel can read. The gap between what's running in your business and what's defensible under scrutiny grows every quarter.
The smaller the company, the sharper this gap tends to be. A 40-person business with AI in production has the same exposure as a 4,000-person business, with a fraction of the internal capacity to address it. That's the specific situation Intrevus exists to handle.
AI governance and data privacy are converging into a single discipline. We work the seam.
Your AI footprint is bigger than the AI policy you have. We map what's running, where it touches customers and employees, what regulation applies, and what board-defensible governance looks like for an organization your size. Ethical AI deployment is part of the work, not a separate conversation.
See the AI Governance practice →A privacy program is only as strong as the operational practices behind it. We build privacy structures that protect customers, satisfy regulators, and don't slow your business down. Privacy and AI governance are increasingly the same problem. We treat them that way.
See the Data Privacy practice →Privacy and regulatory law on one side. Hands-on AI deployment on the other. Most firms lead with one. We bring both to every conversation.
Big 4 firms and law firms charge enterprise rates for the work small and mid-market businesses actually need. We are sized, scoped, and priced for businesses operating in the real world.
Clients work directly with the founders. No rotating teams of associates. No offshored delivery. A deliberate constraint on our scale, and a feature of our model.
AI governance is becoming a continuous function. Our retainer model reflects that. We stay alongside clients as risk, regulation, and deployment evolve.
Policies you can run. Committee structures that function. Roadmaps that get executed. Employee guidance that actually gets read. We deliver work that gets adopted, not filed.
Anonymized themes from early conversations with leaders thinking about AI governance and privacy. Real testimonials from named clients are coming as engagements complete.
"We need this work, but every quote we got was from a firm that builds for companies a hundred times our size. We needed someone who actually wanted to work with a business like ours."
"Most of what we have on AI governance is policy theatre. We need something we can actually run, scoped to our size, that holds up when our biggest customer asks."
"Privacy is the easy half of the conversation. The harder half is what we're going to do about the AI tools our product team has already deployed."
The first conversation is free. We'll be direct about whether we're the right partner. If we're not, we'll point you toward someone who is.
The work that turns AI from unmanaged risk into governed, defensible, and ethically aligned capability.
AI is in your business already, from marketing tools to engineering copilots and finance assistants. Every department is making its own AI decisions, and the risk and opportunity are both accumulating.
Done right, AI governance turns that footprint from a category of risk into a source of competitive advantage. It gives employees clear guardrails to move faster with AI. It gives customers and regulators a defensible posture. It protects your reputation, your data, and your future from the exposure that compounds when AI is ungoverned.
The Big 4 firms and law firms that dominate this market are built for the Fortune 500. Their pricing reflects it. Small and mid-market businesses are priced out of the work they most need. Intrevus exists to close that gap.
A structured six to ten week engagement that produces a clear, board-ready picture of your AI governance posture and a roadmap for closing the gaps.
Every tool, every model, every place AI touches customers, employees, or material decisions. The kind of inventory you can hand to a board, an auditor, or a customer's procurement team.
What applies to you today, what will apply within twelve months, and what's worth tracking but not yet acting on. Covers the EU AI Act, NIST AI RMF, ISO 42001, applicable state laws, and sector-specific regulation.
Each AI use case scored by likelihood and impact, with a recommended treatment.
Who decides what. Who reviews what. Who approves what. Right-sized for your company. A 30-person business doesn't need a committee structure built for a 3,000-person business, and we don't pretend it does.
A clear written articulation of what ethical AI means specifically for your company, in language that lives inside your existing value statements, employee handbook, and customer-facing trust materials.
Written materials your employees can actually read and use: when AI is allowed, when it isn't, what to disclose, what to escalate. Designed for the people who will actually have to follow them.
Not a wishlist. A sequenced plan with owners, milestones, and dependencies, sized to the capacity of your team.
A growing number of consulting firms have started selling "ethical AI" as a separate category of work. We don't. Done well, AI governance already includes ethics: what AI a company is willing to use, what it isn't, who it will and won't deploy AI against, what level of human oversight applies to what kinds of decisions.
Where this work gets practical, and where most companies fall short, is in the connection between the abstract values a company has on the wall and the specific guidance employees use day to day. A company can have "respect for our customers" listed as a core value and still have employees using AI tools in ways that erode customer trust, because nobody has written down what the value actually means when the new tool is deployed.
Our work closes that gap. We start from your existing stated values, what you've already committed to as an organization, and translate them into specific written guidance for AI deployment. The output is not a separate ethics framework that lives alongside your governance. It is a coherent governance posture that already includes the ethical dimension, expressed in language your employees can apply.
Specific changes you can point to in a board meeting, a customer review, or a conversation with your team.
When a customer's procurement team asks, you reply with a document, not a project.
Governance with clear review pathways accelerates good decisions and prevents the bad ones.
Written guidance, written in plain language, that an employee can read in five minutes and apply to their next AI decision.
Risk committees, audit committees, and full boards have language they didn't have before.
Ethical AI is part of who you are as a company, in your own language, not a separate framework on a different shelf.
Companies that move now on AI governance are not scrambling when their regulator publishes.
Roughly 25 to 2,500 employees. AI in production across multiple functions. Board, customer, or employee questions making governance a near-term priority.
Growth-stage businesses whose customers are asking AI risk questions in procurement. Due diligence requirements expanding to cover model risk, training data, and governance documentation.
Healthcare, financial services, professional services, education, and public sector adjacent. Where AI governance is not just a customer expectation but an emerging regulatory requirement.
Every engagement starts with a free initial conversation, typically thirty to forty-five minutes. We use that conversation to understand your situation and tell you, plainly, whether an engagement is the right next step. We are honest when it isn't.
If we proceed, we move to a focused scoping conversation with the right stakeholders on your side, agree on objectives and timeline, and put a written scope in front of you. We deliver work in writing, in working sessions with internal teams, and where appropriate, in board or executive presentations.
We engage at the senior partner level. The founders run the work. There are no associates on engagements, no rotating account teams, and no offshored deliverables.
A privacy program is only as strong as the operational practices behind it. We build privacy structures that protect customers, satisfy regulators, and don't slow your business down. Built for businesses the Big 4 isn't built for.
Privacy programs fail in predictable ways. The policies are correct on paper but not operational. The training is annual but not contextual. The data inventory is six months stale. The customer due diligence questionnaires take weeks to assemble. The internal teams don't know who to ask when they have a privacy question. And the privacy work has become disconnected from the AI work, even though both run on the same underlying data.
We build privacy programs that work because they're designed for the operating reality of the company, not the abstract requirements of a framework.
Policies, procedures, and the operational structures behind them. Built for the actual size and shape of your data operation, not for an idealized mid-market template.
What data you have, where it lives, who touches it, and which regulations apply to each part of it. The foundation under everything else.
Faster responses to procurement questionnaires. Cleaner answers in enterprise sales cycles. Less ad-hoc legal review on each new vendor or customer.
Privacy stops being a tax on the business and starts working as an asset. Customer due diligence cycles get shorter. New product launches don't get held up by privacy review surprises. Internal teams know where to send privacy questions, and the answers come back consistently. Regulator inquiries, when they come, find a program that holds together.
Privacy is foundational to AI governance. Most AI risk questions are, at their core, data questions: training data, inference data, customer data, employee data. Companies that try to build AI governance on top of a fragile privacy program rebuild both eventually. We integrate the two from the start.
For clients who already have a privacy program, we extend it. For clients building both, we sequence them so the privacy foundation supports the AI governance work without redundancy.
Senior partners. Plain language. Written work product. Engagements that hand off cleanly. Priced for businesses the Big 4 isn't built for.
The AI governance and privacy advisory market is dominated by providers built for the Fortune 500: Big 4 firms, large law firms, and enterprise-focused boutiques. The pricing reflects those clients. So do the engagement structures. So do the assumptions about what an internal counsel team can absorb, what a compliance function can operate, and what a board can demand on short notice.
Small and mid-market businesses sit on the other side of that line. They face the same regulatory pressure, the same customer due diligence questions, and the same board scrutiny. They cannot afford the providers built for the Fortune 500. And many of them have been quietly deferring this work for that reason, accumulating risk they can't price and exposure they can't quantify.
Intrevus is built for that gap. We deliver the same caliber of work, scoped to the actual situation of small and mid-market businesses, priced for businesses operating in the real world, and run by senior partners directly. No associates billing six hundred dollars an hour to summarize regulations you could have read in twenty minutes.
Founders run the work. There are no associates on engagements and no rotating account teams.
Every important conversation becomes a document. Clients can carry the work forward, share it with stakeholders, and reference it years later.
When we don't have an answer, we say so. When we're uncertain about a recommendation, we flag it. Confidence without honesty is the worst posture in this work.
We propose what the situation requires. Not more.
Engagements end. The structures we build are designed to run without us. Documentation supports continuity. We don't engineer dependency.
You'll talk to a founder, not to an account manager. You'll get written work product, not slide decks designed to impress. You'll get direct answers when you ask hard questions, including the answer that we're not the right fit. You'll move faster than you expect because we don't pad timelines, and you'll move slower than you might prefer at the moments where slowing down protects the work. You'll get pushback when we think you're wrong. You'll get follow-through when we agree on a direction.
Free, thirty to forty-five minutes. We listen to the situation, ask the questions we need to understand fit, and tell you whether we think an engagement makes sense.
If we proceed, we meet with the right stakeholders to define objectives, scope, deliverables, and timeline. You receive a written scope.
Work starts on the agreed scope. We deliver in writing and in working sessions. The engagement ends with a clean handoff to your team.
The first conversation is free. We'll be direct about whether we're the right partner.
Intrevus was founded on a simple premise: privacy law and AI deployment practice belong in the same room, and most small and mid-market businesses cannot find that combination today.
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Jason Kingma is the founder of Intrevus Advisory, a West Michigan consultancy helping organizations deploy AI thoughtfully, operationalize it effectively, and govern it responsibly. He works with senior leaders to move AI from concept to practice, designing the governance frameworks, adoption programs, operational workflows, and communications strategies that turn AI investment into measurable organizational change.
Jason's AI work spans both sides of the deployment equation. At Perrigo Company, he contributed to the enterprise AI governance framework, owned the training identification and delivery strategy that embedded responsible AI usage across an 8,000-person global workforce, and led the communications plan that brought AI policy to life at the employee level. At Acrisure Technology Group, he designed and led an end-to-end AI platform adoption program for more than 1,000 professionals, building the learning strategy, content library, and change management framework from scratch.
Before focusing on AI, Jason built deep expertise in compliance program design, corporate communications, learning and development, and product marketing across Fortune 500 and professional services environments. That operational foundation informs every engagement.
The combined practice means clients get legal grounding and operational realism in the same engagement. Privacy law training without deployment experience produces governance that is correct on paper and unworkable in practice. Deployment experience without legal grounding produces operational fixes that miss material exposure. We bring both perspectives to every conversation, every deliverable, and every client decision.
The first conversation is free. We'll be direct about whether we're the right partner.
The first conversation is free. We'll be direct about whether we're the right partner. If we're not, we'll point you toward someone who is.