Guzman Applied Technologies partners with operators to translate AI capability into margin, capacity, and throughput. We leave behind working systems, not slideware.
You've seen what AI can do. You've tried a few things. Not much has actually changed.
Most firms bolt AI on instead of building it in. Bolting it on leaves the work flowing the way it always has. Building it in reshapes the roles and the handoffs around what AI can now do. Here's where it breaks:
You don't need more AI tools. You need someone who sets the plan, builds the systems, and stays until they work.
We start with your business, not the technology. Before any tool, we align to your business outcomes, your leadership's priorities, and your strategic objectives. AI is the implementation layer, not the point.
We audit your operations and stack, then map what to build and in what order, including how roles and handoffs reshape once AI is doing real work. A roadmap tied to dollars and priorities: the plan your team could execute tomorrow.
The shared, AI-ready knowledge base your team and your AI both work from. Your process and institutional knowledge, captured once and kept current, so it compounds instead of walking out the door when someone leaves. Every system you build and every person you hire runs on it.
We train your workforce to be AI-enabled. Your team learns to use AI in daily work, run the systems we build, and spot the next opportunity themselves. The capability lives in your people, not in a vendor.
We learn your operations, goals, and where the work actually slows down.
We define what to build and why, mapped across the Three-Horizon framework so today's efficiency wins and tomorrow's bigger bets are both accounted for.
We ship the systems into production. Real work moving through them.
We tune the systems and hand off. From there, you choose: your team runs it solo, or we stay on for ongoing support, monitoring, and the next build. Most clients keep us on a retainer.
Most AI help is either strategy or building. You need both, from the same person.
What gives us an edge is enterprise execution. We operated at director-plus level inside large-scale technology programs: systems thinking, stakeholder alignment, and delivery under pressure. That experience is now the foundation for how we help companies implement AI successfully.
A senior AI leader is hard to find, slow to hire, and expensive to keep. Most have run a pilot, not shipped production AI across a business.
What "fractional" means here: we embed like a director leading your AI initiative, doing director-level work, setting strategy, aligning stakeholders, owning delivery, without the full-time seat or the full-time cost. You get the leadership for the fraction of time the work actually needs.
An agency hands you a tool. A hire takes months to ramp. We set the strategy, build the systems, and train your team, then hand it off. Senior AI leadership without the full-time seat.
We build. The strategy exists to ship something real into production. You end with working systems, not a report.
Most engagements have a first system in production inside 60 to 90 days from the scope session.
Operators and founders at service firms, roughly $1M to $50M, past experimenting and wanting AI doing real work.
Yes. It runs on your stack and your controls. You own it. It's the layer your team and tools work from, not a place your data leaves.
Every engagement is scoped to the work. We start with a short paid diagnostic, then price the build to the outcome. Book a free discovery call and we'll scope it.
Tell us where you are with AI. If there's a fit, we'll scope it. If not, you'll leave with a sharper read on your next move.
The discovery call is free and runs about 30 minutes.