A decade of data work taught me what's broken. Agentic AI showed me how to fix it.
— "ket zero"represents the starting state of a qubit before it's transformed by a sequence of gates.
No slideware. No vaporware. Real intelligence infrastructure you can use.
We look at how you're gathering intelligence, making decisions, and where the blind spots live: data sources, teams, bottlenecks, and the questions you can't answer fast enough.
We sketch the agentic workflow: which agents exist, what they're allowed to do, where humans stay in the loop, and what "success" looks like.
Implementation on GCP/AWS and modern AI tooling, wired to your actual data sources. You get something real that your team can use — not a slideware prototype.
Once the first workflow is humming, we decide together whether it makes sense to add more: supply chain visibility, competitive monitoring, operational dashboards, or other intelligence needs.
I've spent over a decade helping companies make better decisions with data — building measurement systems, designing experiments, and translating messy information into action at places like Grainger, MediaMath, and Epsilon.
The work was rewarding, but I kept hitting the same ceiling: too many manual steps, too many tools that didn't talk to each other, too much time spent on mechanics instead of thinking.
When agentic AI started becoming real — not just chatbots, but systems that could reason, use tools, and complete multi-step workflows — I saw the unlock. The intelligence work I'd been doing manually could finally scale.
Now I build Intelligence Hubs: automated systems that gather, enrich, and deliver strategic intelligence tuned to specific business questions. No more drowning in newsletters. No more generic platforms that don't understand your priorities.
I'm always up for a good conversation about AI, operations, or whatever problem you're stuck on.