Own your advantage.
One in ten AI pilots reach production. 96% of ours do.
Featured Case Studies
An industry-leading healthcare platform raised accuracy from 80% to 93%
An AI governance framework automating $18B in transactions
A scalable safety platform for the DoD that improved detection by 60%
Built for sectors where the stakes are highest
We work wherever the data is hard to reach and the bar is high. Every engagement is built on what only you hold, to the strictest standard in your industry.
Healthcare and Life Sciences
4% of health systems surveyed have scaled AI with measurable outcomes (Qventus, 2026). In June 2026, the Joint Commission launched its Responsible Use of AI in Healthcare certification. Health systems can now be certified on how they use AI, and most aren’t ready.
Private Equity
98% of PE sponsors have told portfolio CFOs to prioritize AI. 68% of those CFOs don’t know where to begin (Accordion, 2025).
Public Sector
For the first time in 12 years, AI, not cybersecurity, is the top priority for state CIOs (NASCIO, 2026).
Financial Services
Lenders and insurers sit on decades of credit and claims history. We help them put it to work. For one payments business, more than half of invoices are now approved automatically, and profit margins are up 10%.
Software
Your customers can now build some of what they used to buy from you. What they can't copy is the data your product collects. For one of the world's largest job sites, we used that data to sharpen job recommendations and ad targeting, and ad revenue increased significantly.
Standards and Professional Associations
Associations hold standards and expertise that nobody else has. In a pilot with a global standards association, routine legal questions that used to take a day or more to answer now take 4 to 6 seconds.
Logistics
Freight runs on paperwork and fast decisions. For one transportation payments business, invoice approval went from 178 minutes to an average of 10 seconds, and it's now rolled out to every carrier customer.
Energy Efficiency
Operators have years of sensor and maintenance data that nobody else can see. For one drilling technology company, a proof of concept built on that data was projected to save roughly $3M a year.
Retail
Every brand can buy the same personalization tools. What sets you apart is what you know about your customers and products. For a Texas-born jewelry brand, we ranked more than a dozen AI use cases by return and built the roadmap to act on them.
Human-Machine Teaming (HMT)
AI succeeds when humans and machines work together — a framework for pairing people with AI to create competitive advantage, while elevating the value of people.
Dr. Benjamin Herndon
Chief Strategy Officer, KUNGFU.AI
The Human-Machine Teaming Practice™ rests on three commitments.
1
Partnership by Design
People and intelligent systems are designed to work together from the first decision — not stitched together after the build.
2
Organizational Fit
AI is shaped to how your organization actually decides and operates — not dropped on top of it and called transformation.
3
Operationalized Values
Your principles are wired into how the system behaves under real conditions — and not merely posted on a wall.
At KUNGFU.AI, strategy and engineering operate as one.
96%
of our engagements reach production.
89%
of our clients return for further work.
9yrs
of doing this before others even got started.
Agentic AI
The next shift moves AI from answering questions to performing work — systems that act, decide, and coordinate alongside people.
Agentic gives the enterprise a way to operationalize AI at scale. Human-Machine Teaming is how you make it hold up in production — not one employee at a time, but as a single, coherent solution built to last.
Ron Green
Co-Founder & Chief Technology Officer, KUNGFU.AI
The ultimate team sport
Our clients have enormous courage. To match it, we built a culture of disciplined teamwork that runs on learning, judgement, and the freedom to take risks.
It’s how our people make AI work.
Meg Marsh
Head of People, KUNGFU.AI
AI for humanity
AI is in service to people. Technology should not replace human judgment, dignity, or agency. That is neither the work we do nor the work we want.
We refuse to dress efficiency as transformation. We refuse to deploy what we wouldn’t defend to those it affects. We refuse the loudest claim over the harder truth.
It’s not marketing. It’s how we operate.
Solving hard problems.
Nine years doing the work.
