AI Systems & Automation
AI Systems & Automation
Custom AI workflows, process automation, prompt system design, custom GPT development, and tool configuration. Built around how your business actually operates — not how a software vendor thinks it should.
Based in Ohio. Serving Dayton, Columbus, Cincinnati, Indianapolis, and clients nationwide.
Start With the Work That Keeps Coming Back
The same intake form lands in your inbox. Someone copies the answers into another system, drafts a follow-up, and reminds the next person to take over. By Friday, you've done the same sequence a dozen times. That's the kind of work we look at first.
I help small businesses turn repeatable work into systems the team can run. The starting point is a workflow audit: what comes in, what needs to happen, who makes the decisions, and where things get stuck. We choose one useful problem and define what a good result looks like before building anything.
What We Can Build Together
A project might turn meeting notes into a draft client follow-up, organize intake information for review, or prepare a recurring report from information your team already collects. Content systems can take an approved idea through drafting and review while carrying your business's voice and messaging. The right scope depends on your existing tools and how much human judgment each step needs.
The work can include a custom internal app, reusable instructions, or connections between tools you already use. For writing-heavy workflows, VoiceMark gives the system rules for how you communicate. If your process changes every time, we may need to clarify that process before automating it.
Test It, Then Teach the Team
We test with representative examples, including incomplete inputs and cases that need a person to step in. Approval points belong in the design. Your team should know what the system can do, what to check, and what happens when something fails.
The handoff includes hands-on training so the people using the workflow understand it. Bring one recurring task to your discovery call, along with an example of its input and the finished result. That's enough to start a useful conversation about what to build first.