Stop experimenting with AI. Start running on it.

I offer four fixed-scope services: the AI Operating System, which organizes how your team uses AI; the AI Visibility Engine, which improves how your business shows up in AI-driven search; the AI Brand Asset System, which turns brand standards into AI visual workflows; and AI Website Transition Strategy, which helps leadership decide whether to improve, migrate, or redesign the website.

Start with the service that addresses your most valuable problem. If everyone uses AI differently, start with the AI Operating System. If buyers cannot find or understand you in AI search, the AI Visibility Engine. If AI visuals are off-brand, the AI Brand Asset System. If a major website decision is coming, AI Website Transition Strategy. The free assessment confirms the right starting point.

Yes. Many clients start with one service and add another when the first creates a clear reason to. The services are designed to work together: an AI Operating System makes content and brand workflows easier to run, and a website transition often brings visibility work with it. Each engagement is still scoped and priced on its own.

Each service is a fixed-scope engagement with a defined fee, and implementation engagements start at $15K. Pricing depends on the service, team size, and technical depth. AI Website Transition Strategy is scoped after the initial assessment. Ongoing advisory retainers start at $5K per month for companies that want continued support.

Productized consulting sells a defined outcome instead of time. Each of my services has a set scope, deliverables, timeline, and fee agreed before work begins, so you know what you are getting and what it costs. Hourly consulting can be open-ended, which makes it harder to budget and harder to tell when the work is done.

You receive working systems and documentation, not a slide deck. Depending on the service, that can include configured AI workspaces, prompt libraries, workflow templates, a question map and published content, brand visual guidelines and an asset library, or a website recommendation, risk register, and phased roadmap. Every engagement includes the handoff your team needs to keep using it.

I recommend tools based on fit with your business, team, and existing stack. Tool selection is part of the work: which tools to use, when, why, and with what settings and permissions. The goal is a small set of tools your team actually uses well, rather than a long list of subscriptions nobody manages.

That is a good starting point. Most engagements build on the tools a company already has. The gap is usually not the subscription; it is the missing structure around it: shared workflows, prompt libraries, standards, permissions, and training. I will tell you if a tool is a poor fit, but replacing tools is rarely the first move.

Both. The services build working systems, not just recommendations: workspaces get configured, workflows get documented, content gets published, and teams get trained. When the work expands into brand, design, website development, migration, or integrations, ZINC, the agency I lead, can execute it with me still involved.

Your team keeps running the system with the documentation and training delivered during the engagement. Some companies stop there. Others add an advisory retainer, starting at $5K per month, so a senior advisor can evaluate new tools and models, update workflows, and keep the plan current as AI keeps changing.