The framework didn’t come from research.
It came from the room.
Nick Jewell builds at the intersection of AI strategy and implementation. Not the strategy that lives in slide decks. The kind that survives contact with real data, real workflows, and real organizational resistance. The Jewell Assessment exists because most readiness frameworks measure whether an organization can implement AI. They never ask whether the people making those decisions have the judgment to get it right. That gap is where most AI initiatives die.
Enterprise
Nick is a Senior Managing Consultant at IBM, leading AI and automation delivery. He built an AI-powered operations platform that consolidated multiple legacy mainframe and desktop systems into a single front end, replacing manual workflows with intelligent routing, OCR, document extraction, complexity tagging, and custom AI agents. Not a proof of concept. A production system serving over a thousand users processing hundreds of thousands of complex requests annually.
He designed and deployed an AI-powered IVR system as a call deflection engine, analyzing tens of thousands of transcripts to model automation potential and building the financial case from vendor selection through go-live. Separately, he built an operational measurement framework that redefined how an entire organization understood its own performance. The insight was deceptively simple: measure from the customer’s perspective, not the system’s. That reframe drove a fundamental restructuring of how the organization operated.
He built and enforced a portfolio-wide AI governance system across 125+ enterprise pilots, instrumenting performance tracking, identifying failure patterns, and driving corrective action that brought underperforming engagements to production standard. He authored IBM’s standard technical guide for enterprise WatsonX.data deployments.
The five layers of the Jewell Assessment are not theoretical. Each one is a scar from a specific deployment where that layer was the thing that broke.
Taste
Nick is a Founding Advisory Board Member of MKHSTRY AI, a patent-pending creative ideation engine that trains AI to distinguish between great and mediocre concepts. Not a general LLM. A domain-specific vertical model built on decades of Fortune 100 CMO judgment. Jeff recruited Nick before the product had a name. Not for a resume line. For the instinct, the grit, and the willingness to say what isn’t working in a room where nobody else will.
MKHSTRY was founded by Jeff Charney, former Chief Marketing Officer of Progressive Insurance, named Ad Age CMO of the Year in 2021. Over 100 national and international marketing awards across a three-decade career.
The relationship is bidirectional. Nick designed the governance criteria and quality standards the product is evaluated against. The feedback loops that connect user signal to product decisions. The decision architecture for where AI compounds value and where it creates liability. The work reached rooms where mediocre doesn’t survive and the people in them set the standard for their industries. The standard was not “does it work.” The standard was “is it worthy of the room it’s walking into.”
The collaboration sharpened something Nick already carried. Not “is this model accurate?” but “is this output worthy of being put in front of a Fortune 100 CMO?” Not “does the feature work?” but “does the feature belong?” Working alongside Jeff from pre-launch through commercial rollout, Nick absorbed the judgment that separates a feature from a moat. The discipline of saying “not yet” to capabilities that would dilute the core value proposition. The instinct for where AI creates disproportionate leverage versus where it creates noise.
The Jewell Assessment’s Taste layer did not come from a textbook. It came from building alongside someone who has practiced it at the highest level in American business for three decades.
Builder
Nick founded Throom, a consumer marketplace built from nothing. Hired the engineer, designed the product, grew it to over a thousand users. It did not scale. What it taught him: building from zero is the only work that actually matters to him. Everything since has been chasing that instinct inside larger systems.
He serves as Board Member and Development Committee Chair for KEEN Chicago, a nonprofit serving children with special needs. Walked into a board with no governance, no structure. Built four operating committees. Recruited senior leaders across corporate strategy, finance, and technology. Tripled fundraising in one cycle. Nobody reported to him. The Culture layer of the framework is informed by this work.
Lehigh University. Economics. Entrepreneurship. Division I soccer. He has published on the conditions under which AI deployments should be paused or killed, grounded in the direct experience of governing enterprise pilots where that call had real financial consequences. Connect on LinkedIn →
Outside the Work
Two marathons on his belt and always looking for the next challenge. Certified rescue diver and divemaster, working toward an instructor’s license. Still tries to play soccer when time allows. The through-line is the same whether it’s 125 AI pilots or 30 meters underwater: stay calm, assess the situation, make the call.
The Jewell Assessment is not a product I am selling. It is how I think. I built this site, wrote the framework, designed the assessment, and wrote every word on this page because the gap between AI capability and AI judgment keeps costing organizations outcomes they cannot recover. Nobody else was measuring it.
Built by a practitioner, not a vendor.
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