Agents that take manual work off the team.
Back-office workflows where humans copy-paste between systems — operations, customer service, sales ops, finance. I find the one with the clearest waste and ship the agent that owns it.
Sugo AI is a product development and consulting practice helping enterprises bring AI to market — agents inside the business, AI-native features inside the product.
Run from Houston by Marc Rosa · senior product partner · 15 years · 2 exits
Two engagements. Both end in software a team can use Monday morning.
Back-office workflows where humans copy-paste between systems — operations, customer service, sales ops, finance. I find the one with the clearest waste and ship the agent that owns it.
A real user, a real job, a real outcome metric. I take the first feature from discovery through launch — close enough to engineering to make the calls that matter.
of enterprise AI pilots never move a P&L line. MIT put the number at ninety-five percentin their August 2025 report. The pattern underneath is consistent: the people who can make the call about what to build aren’t close enough to the build to make it. Strategy from one room, engineering from another, integration from a third. The work sits between rooms.
Sugo is built for the in-between.
Software, not decks. The deliverable is working code in production, not a deck about working code. Frameworks and templates are tools, not artifacts.
Sit beside the work. Two weeks of paired sessions beats six weeks of interviews. The team doing the workflow knows where it breaks.
Genuine ROI. Every build has a baseline metric set in the audit and a target measured at 30 / 60 / 90 days. No vanity dashboards.
Leave a clean handoff.Your team owns the software after launch. Documentation, monitoring, and a written brief on what to build next — delivered on launch day.
Most AI consulting hands you a deck. Most platform AI hands you a bolt-on. Sugo is built for what’s in between — close enough to your business to make the call about what’s worth building, and close enough to engineering to ship it.
Best fit:mid-to-large enterprises and traditional companies in operations, finance, healthcare, services, industrial — sectors where off-the-shelf AI tools don’t fit and there isn’t a deep engineering bench standing by to build the alternative.
Best buyer:the executive personally accountable for whether the AI strategy actually delivers — a head of innovation, COO, or VP of product carrying a roadmap with AI commitments the organization hasn’t yet shipped.
Tell me what you’re working on. I’ll tell you whether it’s a workflow, a product feature, or not a fit yet.
P.S. — Sugois the Italian word for sauce. A long, slow reduction; a few ingredients done well. That’s the practice.