Services / AI automation
AI Automation Consulting
I find the repeat work that eats your team's week and turn it into reliable AI workflows, starting with reporting, research and content QA.
Start with where the hours go
Before building anything, I look at how your team spends its week. The best automation candidates repeat often, follow a process someone could write down and produce output a person can check. Monthly reporting is the classic example. Research summaries and content QA are close behind.
What I automate
Reporting. GA4 and Search Console data pulled, summarized and formatted into the deliverable your clients or leadership expect. I build these for an agency today.
Research. Workflows that gather sources on a topic or competitor, summarize them and cite where each point came from.
Content QA. Drafts checked against your style guide, accuracy rules and SEO requirements before a person reviews them.
Intake and follow-up. Inquiries sorted, routed and answered with a draft that a person approves.
Workflow first, agent when needed
Most automation works best as a fixed workflow: the same steps in the same order, with an AI model handling the steps that need language. It is predictable and easy to test. When a task needs the system to choose its own steps, I build an agent instead. AI agent vs AI workflow explains the difference, and AI agent development covers that work.
How an engagement runs
- Audit. A short look at your team’s recurring tasks and the tools involved.
- Pick one. We start with the task that has the clearest payoff and the lowest risk.
- Build and measure. A working workflow on your real data, compared against how long the task took before.
- Hand off and expand. Documentation, training, then the next task on the list.
Related work
Questions
What does an AI automation consultant do?
An AI automation consultant finds tasks your team repeats, decides which ones AI can handle reliably, builds the workflows and hands them off with documentation. The goal is fewer hours on routine work without lowering quality.
Which tasks are good candidates for AI automation?
Tasks that repeat often, follow a describable process and have output someone can check: monthly reporting, research summaries, content QA against a checklist, data cleanup and first drafts of routine messages.
What is the difference between AI automation and an AI agent?
Most AI automation runs as a workflow: a fixed sequence of steps where an AI model handles some of them. An agent decides its own steps. Workflows are more predictable, so I use them by default and reach for agents only when a task needs that flexibility.
Will automation replace my team?
That is not how I scope projects. I automate the routine parts of skilled work so people spend more time on judgment, strategy and client relationships, and I keep humans reviewing anything that goes out the door.
Do you work with small businesses?
Yes. Small teams often get the most from automation because a few saved hours a week matter more. I am based in the Denver metro area and work with teams across the US.
Further reading
Need help with AI automation?
Email [email protected] or use the project form. Tell me where things stand and what a good result looks like.