Start with the right decisions before major hiring, tooling, or development begins.
AI capabilities are advancing incredibly fast.
Building prototypes, copilots, and automation is easier than ever.
The real bottleneck has shifted: deciding what to build, what to prioritize, and what to deploy safely and responsibly.
Executive pressure is rising, tools are multiplying, and teams are being asked to “do something with AI”—often before anyone can clearly answer what problem is being solved, who owns the outcome, or what happens after launch.
I help leaders make trustworthy, deployable intelligent-solution decisions, guiding teams from early judgment calls to operational reality in weeks, not quarters.
This work is guided by the Intelligent Systems Delivery Framework, a decision-first approach that helps organizations move from AI ideas to trusted, real-world solutions.
Instead of jumping straight into tools or hiring, we start by choosing the right level of intelligence for the problem you’re trying to solve—and whether the goal is near-term ROI or experimentation and learning. That might mean:
The focus is always the same: solutions that create real business value, can be deployed and supported in practice, earn trust from users and stakeholders, operate safely, and protect the bottom line.

Creator of the Intelligent Systems Delivery Framework. I help organizations decide what to do with AI before they waste time and money on the wrong initiatives.
Let’s talk about your challenges.