Why Is Your Team Doing AI’s Job?
I go into your company, find the manual processes costing you the most time and money, and build AI systems that eliminate them.
Most engagements pay for themselves within 60 days. Or your money back.
How It Works
The Problem
Every growing company hits the same wall.
The team is buried in manual work that doesn't require a human. Data entry, follow ups, scheduling, reporting, document processing. It's consuming 30, 40, 50+ hours a week and the founders know AI could fix it, but nobody's had time to figure out how.
What I Do
I audit your operations in a week, identify the highest impact bottleneck, and build the AI system that eliminates it.
Not a slide deck. Not a recommendation. Working software your team uses on day one.
Background
Enterprise Software →
Unqork (Product Manager)
I've spent my career inside the operational problems that AI is built to solve.
AI Startup →
DockIt (Founder & CEO)
I founded an AI startup and raised $1M from Bienville Capital, a $500M venture fund. We started with case management for law firms, then pivoted to a harder problem: criminal defense attorneys are drowning in discovery. The average public defender handles 60 cases a month, and the majority involve body cam footage they have to watch, transcribe, and annotate manually. We built AI that automatically transcribed, translated, and analyzed body cam footage so attorneys could review hours of discovery in minutes instead of days.
I learned how to build AI products for buyers who are skeptical, overworked, and operating in high-stakes environments.
Capital Group →
Highwire Capital (COO)
I ran operations for a capital group focused on transforming middle-market companies with AI and technology. I was part of the leadership team that negotiated a $133M take-private of SPAR Group, a publicly traded merchandising and distribution company. Shareholders approved the deal, but the funding didn't close.
I built the post-merger integration plan: team compensation, budgeting, org design, and roles and responsibilities across both companies. I also worked on an IP purchase agreement for Spacee's Deming product line, a computer vision system that uses AI to track on-shelf inventory availability in retail, and helped define the product roadmap for AI-powered retail analytics.
Every day was spent inside operational complexity: duplicate systems, undefined ownership, manual processes, and the challenge of getting two companies to run as one.
Now → Verdant Horde
I built enterprise applications for JP Morgan, Goldman Sachs, State Street, and DE Shaw. I spent most of my time improving the core platform interface, stripping out unused settings and components so enterprise users could actually find what they needed.
I learned how Fortune 500 companies operate from the inside: what slows them down, what's held together by workarounds, and what it takes to get them to adopt new technology.
Everything I saw at every stage pointed to the same problem: teams buried in manual work that doesn't need a human. Now I go in, find it, and build the AI system that eliminates it.
My first client was a robotics company whose revenue was entirely founder-dependent. Every deal required the founder in the room. I built repeatable sales systems and trained the team to close without him. Closed sales doubled in 30 days.
I also build AI tools that do the diagnostic work most consultants charge thousands for. I've built an operations research system that analyzes any company and identifies the highest-value automation opportunities, review management automation for local businesses, and AI-powered company analysis dashboards. You can try them below.