Our approach
We design workflow systems around real operational bottlenecks, not generic automation.
I help service businesses identify where slow lead follow-up, disconnected tools, and unclear handoffs may be limiting opportunities. The goal is practical: map the current workflow, find the highest-value gap, and define the smallest worthwhile improvement before any build begins.
New engagements begin with a brief no-cost fit call. Complex or unclear workflows may need a paid AI Revenue Leak Audit and Automation Roadmap. Clearly defined repair or implementation work can move directly to a fixed-scope proposal.
Clients in active projects get a dedicated portal with workflow status, milestones, support, billing, and monthly impact reporting.
Brandon McCarthy
Founder & Lead Engineer, McCarthy AI Automations
My background combines full-stack software engineering with more than five years of healthcare documentation and data-management experience. I work with JavaScript, Python, databases, APIs, and modern web development to design practical systems that help teams handle inquiries, follow-up, and operational handoffs more reliably.
Every engagement is founder-led and scoped to the problem. I work around the tools a business already uses, add AI only where it improves a defined step, and keep human review in the loop where accuracy and judgment matter.