Most AI work falls into two buckets: shallow productivity tools that never touch revenue, and six-figure enterprise programs that take a year to prove anything. Neither is what operators need.
I've spent the last decade on both sides of that gap. Inside a Fortune 500 finance org rebuilding how a $512M portfolio was forecast. Controlling the books at a data-services firm. Founding a tech-enabled marketplace from scratch. Most recently, rebuilding and growing the Phoenix market for Curri, a fast-scaling logistics platform, where core daily revenue grew more than 4x in a year.
Every one of those roles came back to the same thing: measurable movement on a number. That's the standard I hold Snap Task engagements to, and it's why the work is scoped in dollars, not deliverables.
Snap Task is founder-led. I scope every engagement, ship the first working version, and only bring in fractional senior specialists in data, LLM systems or revenue operations when the build calls for it. No account managers. No offshore hand-off. And after launch, I stay on as your AI partner, keeping everything current as the technology moves.