Stop experimenting with AI. Start scaling with it.

An AI consultant helps a business decide where AI will actually create value, then turns that into working systems. In my practice that means diagnosing how the team uses AI today, choosing the right tools, building shared workflows and standards, and planning bigger decisions like how the website and marketing should evolve. The goal is business progress, not more experimentation.

My fixed-scope engagements start at $15K, and ongoing advisory retainers start at $5K per month. Every engagement has a defined scope, timeline, and fee before work begins, so there are no open-ended consulting hours. The first step, an AI and Digital Opportunity Assessment, is free.

Start with the work, not the tools. Look for tasks that are frequent, time-consuming, repeatable, and easy for a knowledgeable person to review, such as recurring writing, content production, research, and internal knowledge capture. A short assessment of how your team already uses AI usually reveals two or three opportunities worth acting on first.

It is worth it when the business has real work AI can improve and no clear plan for how to do it. Most companies are not short on AI tools; they are short on structure. A focused engagement turns scattered experimentation into shared systems your team keeps using. If there is no clear opportunity, the free assessment will tell you that.

Your team is using AI effectively when good results are repeatable, shared, and tied to business outcomes. Warning signs include everyone using different tools in different ways, useful prompts living in personal chat histories, inconsistent brand quality, and no one able to say what AI has changed in the numbers. Those are structure problems, and they are fixable.

Usually both, in sequence. An outside advisor helps you make the early decisions quickly: which tools, which workflows, what standards, and what to avoid. My engagements are designed to leave your team able to run the system themselves, with documentation and training, so you are not dependent on a consultant for day-to-day AI work.

No. AI changes how a marketing team works rather than replacing it. The teams that benefit most use AI to produce more content, visuals, and campaigns with the same headcount, while people keep the judgment, brand standards, and approvals. The work shifts from producing every draft to directing and reviewing it.

An AI-native website is built on a modern codebase that AI coding agents can update directly, with people reviewing changes before they go live. Not every business needs one. If your current CMS still serves you well, improving it may be the better choice. My AI Website Transition Strategy helps leadership decide whether to improve, migrate, or redesign.

Mostly owner-led and mid-market businesses: CEOs, founders, presidents, and marketing leaders whose teams are already experimenting with AI but lack a business-level plan. Many have meaningful brand equity, website traffic, content, integrations, or search visibility to protect, and some are facing a website-platform decision in the next 6 to 18 months.

The assessment produces recommendations in a single working session. Most system-building engagements run six to ten weeks, and the goal is for your team to be using the new workflows by the end of the engagement, not months later. The timeline for each engagement is defined before you commit.