Product, design and technology teams are under real pressure to deliver AI results. Often without a clear roadmap, without disrupting workflows and without being the manager who handed leadership an excuse to cut headcount.
The pattern holds across every initiative, every industry, every size of team: the technology is not the hard part. Bringing teams along and making adoption stick is.
This anxiety has a name now: “FOBO”, the Fear of Becoming Obsolete. The antidote isn’t reassurance, it’s the right implementation.
Why I do this
People over process, always. Technology serves those using it, not the other way around. Most AI implementations fail because they optimize for the tool instead of the people behind it. The right approach starts with understanding how your team works, then finding AI solutions that make them more productive, not obsolete.
Enterprise transformation doesn’t require layoffs. More than twenty years at Fortune 100 firms consistently shows the same result: the best digital transformations make teams more capable, not smaller.
AI should accelerate what your team already does well. Combine the right process with the tools for your situation and you get faster delivery, better quality for less investment and a team that’s more capable and confident than when you started.
Fear-driven transformation doesn’t work. Teams adopt AI most successfully when they see it as augmentation, not automation. And when they’re confident it makes them more valuable, not expendable. The guided shift from anxiety to confidence and enhanced productivity is what makes implementations stick, instead of sitting on a shelf of expensive failures after the consultant leaves.
How I work
Most consultants start with the technology, hand it off and hope adoption follows. This approach doesn’t. AI implementation built around four principles keeps transformations practical, measurable and lasting.
How I got here
Most consultants come from either big companies or independent practice. A career built by cycling deliberately between both changes what’s understood about each. Decades at Fortune 100 firms; GE, Fidelity, Bank of America, TIAA and Marsh McLennan taught me how enterprise transformation actually works at scale. Independent consulting with US, UK and European clients and startups stripped away the bureaucracy, forcing the focus on what actually works.
An MBA in Digital Strategy from Suffolk University built the strategic foundation. Stanford’s AI Certificate with Distinction sharpened the technical edge. Recent years leading product design teams at See All AI added the startup credibility and innovation depth — including being named inventor on a pending design patent for an AI-powered surgical navigation interface. Marine Corps service as a Platoon Leader taught the one thing no MBA program covers: how to lead under pressure when the stakes are real.
About Mark
Mark Phelps is the founder of Mark Phelps LLC, an AI implementation consultancy and fractional VP of UX & Product Design practice based in the Boston metro area, serving clients in the US and UK. He brings more than 20 years of Fortune 100 experience at GE, Fidelity, TIAA, Bank of America, Marsh McLennan and Rockefeller Capital Management.
He holds a Stanford AI Certificate with Distinction and an MBA in Digital Strategy from Suffolk University, where he was inducted into Beta Gamma Sigma. He is a named inventor on a pending design patent for an AI-powered surgical navigation interface and a U.S. Marine Corps veteran.
- 20+ years Fortune 100: GE · Fidelity · Bank of America · TIAA · Marsh McLennan · Rockefeller Capital Management
- Stanford AI Certificate with Distinction · d.School UX Design
- MBA, Digital Strategy — Suffolk University, Beta Gamma Sigma
- Named inventor, pending design patent — AI-powered surgical navigation interface
- MedTech regulatory design and documentation: FDA 510(k) · HE75 · IEC 62366-1