Services / AI consulting
AI Consulting & Strategy
Find where AI pays off in your marketing and operations, pick the right tools, and plan the work before anyone writes code.
Where AI actually helps
Most companies already pay for AI tools. Fewer have changed how work gets done. The gap is usually not the model. It is that nobody has mapped which tasks are worth handing to AI, what a good output looks like, and who checks it.
I start with your real workflows: how content gets researched, how reports get built, how leads get qualified, where people copy and paste between systems. Then I rank the opportunities by time saved, risk and effort, and we pick the few that matter.
How an engagement runs
- Discovery. Interviews with the people doing the work, plus a look at your tools, data and constraints.
- Opportunity map. A ranked list of AI use cases with expected effort, risk and payoff.
- Pilot. One workflow set up end to end, with prompts, review steps and a simple way to measure results.
- Roll-out plan. Guardrails, training and a backlog, including anything worth building as a custom tool.
Why work with me
I come from a decade of search and content work, so I know what marketing teams are measured on and where AI-written content fails. I also build AI tools myself, which keeps my recommendations grounded in what the technology can do today rather than what a vendor demo suggests.
If a recommendation needs custom software, I can scope and build it under AI engineering.
Related work
- LandmAIn (founder)An AI-powered land intelligence platform for data center, industrial, solar and storage site selection, with a dated, inspectable source behind every finding.
- Whole WhalePlugins, browser extensions, Claude skills, chat functions and reporting automations that package an agency's SEO and AEO processes into one-click workflows.
Questions
What does an AI consultant actually do?
An AI consultant looks at how your team works today, finds the tasks where AI saves real time or improves quality, and turns that into a plan: which tools to use, what to build, what the rules are, and how you will measure whether it worked. The output is a decision you can act on, not a slide deck about AI trends.
Do we need a custom AI tool, or are off-the-shelf tools enough?
Most teams should start with off-the-shelf tools configured well, and build custom only where the workflow is specific to your business or the data cannot leave your systems. Part of the engagement is deciding that honestly, because a custom build you do not need is the most expensive mistake in AI right now.
Can AI be used safely for healthcare or other regulated content?
Yes, with guardrails. In regulated work I keep AI on research, drafting and structure, require expert review before anything publishes, keep patient or client data out of public tools, and document the process so compliance teams can audit it. My healthcare search work follows the same E-E-A-T and YMYL standards.
Further reading
Need help with AI consulting?
Email brubeckunhammer@gmail.com or use the project form. Tell me where things stand and what a good result looks like.