Enterprise AI that reaches production.
AI lab and advisory practice enabling your AI operating model — strategy, governance, literacy, and ecosystem.
Our Approach
What We Do
Fullreal is an independent AI lab and advisory practice based in Silicon Valley. We work with CIOs, CAIOs, CDOs, and heads of AI strategy at large enterprises to design and stand up enterprise AI operating models — the demand pipeline, governance framework, literacy program, and partner ecosystem that determine whether AI pilots reach production.
Engagements start with a fixed-scope, fixed-price readiness assessment and typically deliver first measurable value in four to twelve weeks.
Fullreal is led by Kirk Felbinger, who delivered 90% pilot-to-production conversion across Fortune 500 AI programs as Chief Strategy Officer at AI Collaborator from 2024 to 2026, holds five US patents, and spent twenty years building enterprise platforms at Equinix, PayPal, and Zayo.
The Problem
Pilots aren't the problem. The operating model is.
Enterprise AI programs rarely fail on the model. They fail on everything around it — and the failure is almost always one of four things.
Demand is unmanaged. Every function runs its own experiment. Nothing aggregates into a portfolio, so nothing gets prioritized, funded, or measured as a whole.
Governance arrives late. Legal, Security, and Data see the work after it's built. What could have been a design constraint becomes a stop order.
Literacy is assumed. Tools are deployed to people who were never taught how to change the way they work. Licenses go up, behavior doesn't, and adoption numbers quietly stall.
The partner bench is ad hoc. Every new use case triggers a fresh vendor evaluation from zero, and two quarters disappear before anything is built.
The Operating Model
The Fullreal operating model
Four layers that have to work at once. Most programs have one or two.
STRATEGY
A roadmap covering all real demand — workspace AI, AI features inside systems you already own, and turnkey solutions — plus an executive decision board and a champions network so adoption has an owner. Produces: a prioritized, funded AI portfolio with named accountability.
GOVERNANCE
Responsible-AI and acceptable-use frameworks mapped to your compliance mandates, built with Legal, Security, and Data in the room from day one rather than at the approval gate. Produces: a documented path to yes, and a defensible position when a regulator or auditor asks.
LITERACY
Benchmarking by industry, job function, and use case, then upskilling tracks — AI for All, AI for Leaders, AI for Builders — plus hackathons and a standing AI-operations community. Produces: measurable behavior change, not license counts.
ECOSYSTEM
A vetted provider bench mapped to your use cases, so build / buy / customize / co-develop becomes a decision made in days. Produces: procurement cycles measured in weeks instead of quarters.
How Engagements Work
How we work, for example. All engagements are personalized to your Enterprise AI needs and budget.
Three stages, each with its own scope, price, and go/no-go decision. You can stop after any of them.
01 — ASSESS · 2 to 4 weeks · fixed price
Where your AI demand actually is, what your data and governance can support today, and which use cases are genuinely ready. You get a prioritized portfolio, a readiness gap list, and a costed roadmap. If the answer is "you're not ready to build yet," we say so.
02 — ARCHITECT · 6 to 10 weeks
We stand up the operating model: playbooks, decision board, governance framework, literacy tracks, partner bench, and the KPIs that will be reported against. You get working machinery and the people trained to run it, not a deck.
03 — OPERATE · monthly
Fractional AI leadership. We run the cadence, chair the board, keep the portfolio moving, and hand off progressively to your team. Designed to make itself unnecessary.
The Lab
We build the things we recommend.
The Fullreal Lab is where we research applied AI before it reaches a client engagement — custom agents, workflow tooling, and an ecosystem gateway that matches enterprise roles, workflows, use cases, and applied AI technologies to vetted AI providers. Product Visionary, our custom agent for product-leadership workflows, came out of it.
Let's Start the Conversation
Start where the risk is lowest.
A readiness assessment is fixed in scope, fixed in price, and ends with a written answer either way — including "not yet, and here's what to fix first."