Scale revenue faster
than headcount.
We help founder-led and growth-stage companies turn AI into operating leverage — setting the strategy, shipping the systems, and handing your team the keys. Senior operators only. No layers, no theater.
Trusted by operators who answer to a number
Adam Zeffer
Founder, ProdigiNET
Built by operators. Not consultants.
Most firms send a partner to win the work and a junior to do it. ProdigiNET sends the person who has actually built, shipped, and scaled the thing you're trying to do.
Adam Zeffer founded ProdigiNET after years inside the operator's seat — running engineering, product, and analytics, and putting AI into production where it had to perform, not impress. The recommendations you get are earned, not theorized.
Technology organizations, from the ground up.
Stood up and led engineering, product, and analytics teams — not from an advisory seat, but with direct ownership of what shipped and what it returned.
AI systems running inside real businesses.
Implemented AI where it touches revenue and operations — past the demo, integrated into the workflows that run the company.
Working directly with founders and investors.
Translated technology decisions into the language leaders actually fund — tradeoffs, risk, and the number on the other side.
Accountable to outcomes, not output.
Every engagement tied to a metric someone owned — margin, cycle time, revenue per head — and judged on whether it moved.
We sell outcomes, not deliverables.
Most firms hand you a deck or hand you code. We start from the result you're accountable to — then do whatever it takes to move it.
The numbers that matter.
Executives don’t buy AI. They buy growth, efficiency, and leverage. These are the outcomes we’re hired to deliver.
planned hires avoided through AI-enabled operational workflows
Growth was achieved without adding the headcount originally projected by the business.
of underwriting validation questions automated
AI agents complete the majority of first-pass document review before a human touches the file.
document review checks completed automatically
Structured AI workflows perform validation, classification, and recommendation tasks before human review.
annual lending volume supported
Technology, automation, and AI initiatives helped support lending operations at significant scale.
Representative outcomes from leadership, advisory, and implementation engagements. Details anonymized where appropriate.
One method. Three moves. Revenue that outpaces headcount.
How we turn AI into operating leverage — the same three moves behind every engagement.
Pinpoint
Find the one or two places AI actually moves your revenue, margin, or output per head — and ignore the rest.
Productionize
Ship it into the workflow that runs the business. Live systems, integrated and accountable — not another pilot.
Propagate
Turn one win into a repeatable capability your team owns, so the leverage compounds after we hand it back.
A few things we hold to be true.
- 01
Most companies don’t need more software. They need leverage.
- 02
Most AI projects fail before they create value. We start where it pays.
- 03
Headcount growth is not a strategy. Output per head is.
- 04
Technology should accelerate business outcomes. Not collect dust in a roadmap.
- 05
AI should improve economics. Not just productivity.
If that sounds obvious, good. It should be. Most of the industry just stopped acting like it.
Senior by default. Built to hand back.
You’re not buying a methodology. You’re buying judgment from people who have built, shipped, and scaled this before.
The person who scopes it solves it.
No junior hand-offs, no account managers between you and the work. You get the operator in the room.
Earned conviction, not theory.
Our recommendations come from having run the play — including in regulated, high-stakes environments where mistakes are expensive.
Every engagement ties to a number.
Pipeline, margin, cycle time, output per head. We start with the metric you’re accountable to and work backward.
Leverage that survives our exit.
We make your team independent. If the value disappears when we leave, it was never leverage.
Built for companies that are scaling.
We don’t target companies by who funds them. We work with companies feeling the pressure of growth, complexity, and speed.
You need leverage, not more headcount.
We help founders identify operational bottlenecks, implement AI, and scale without adding layers of complexity.
Your systems should scale as fast as your revenue.
We help growing companies modernize technology, streamline operations, and build scalable operating models.
Turn AI ideas into production outcomes.
We help teams move from experimentation to implementation with practical, measurable AI solutions.
Modernization without sacrificing reliability.
We bring deep experience in regulated environments where performance, compliance, and customer experience all matter.
We work with ambitious companies that need leverage—not just more people.
Tell us the number you’re accountable to.
The first conversation is substantive — a working session, not a sales pitch. You’ll talk to a senior operator who has done this before, not an SDR.
No decks. No discovery theater. Bring the constraint you’re stuck on.