Practical AI.
Not hype. Not demos.
Most AI conversations are about what's possible. I focus on what's useful — automation and AI that plugs into your actual workflow and does something real.
My take: The biggest opportunity right now isn't building something new with AI — it's connecting AI to the repetitive, manual work that's already costing you hours every week. That's where the real return is.
What I build
AI agents
Custom agents that take action — researching, summarizing, drafting, routing, or triggering workflows based on conditions you define.
Workflow automation
Connecting your tools so data moves automatically — no copy-paste, no manual handoffs, no one person who "knows how it works."
Process integration
Bridging systems that don't talk to each other. APIs, webhooks, scheduled jobs, and lightweight glue code that keeps things in sync.
AI readiness consulting
Honest assessment of where AI actually makes sense for your operation — and what data groundwork you need before it'll work reliably.
Document & data automation
Turning unstructured inputs — PDFs, emails, forms, reports — into structured, actionable data without manual processing.
Monitoring & alerting
Automated watches on conditions that matter — equipment states, thresholds, deadlines — with notifications that actually reach the right person.
Example applications
Weekly status reports that write themselves — pulling from multiple data sources, summarizing with AI, and delivering on schedule without anyone touching a spreadsheet.
Work order creation, routing, and closure triggered automatically by sensor conditions — reducing the lag between a problem occurring and someone knowing about it.
Extracting structured data from incoming documents — specs, invoices, forms — and routing it into the right system without manual data entry.
Something eating your team's time?
Describe the manual process. I'll tell you whether AI or automation can fix it and what that looks like.
Or email frank.mozingo@gmail.com