I've had to ship it
Engineering leadership at Coca-Cola and executive roles inside Siebel and Mercury. I know what a roadmap costs when someone actually has to build against it.
San Francisco Bay Area · Published author on generative AI and decision intelligence · Two decades leading customer experience design and innovation
Years across customer experience design, innovation, and enterprise technology
Beta customers validating agentic decision intelligence
Published books on generative AI, decision intelligence, and prioritization
Years leading customer experience design, innovation, and service reinvention
The short version
I work with leadership teams on three things: customer experience strategy — the experience the business intends to deliver and who owns it; customer experience design — the journeys and services that deliver it; and solution innovation — the new things, put in front of customers before the big spend. All of it driven by AI: research synthesis at a scale manual work never reached, agentic analysis ranking the portfolio on return on experience, prototypes in weeks. Alongside the advisory, I founded Prioriti AI.
Prioriti AI is a decision intelligence company. Its enterprise SaaS platform uses agentic AI to help enterprises generate, ideate, and prioritize product and solution initiatives. The premise is still under-appreciated: the constraint isn’t AI capability. It’s the small number of consequential decisions that never get made clearly, quickly, or with enough evidence.
I am the founder of f/cx.ai, an AI-driven customer experience design and innovation agency and sister company to Prioriti AI — senior CX talent on demand, without building an in-house team.
The design work came first, and it is still the discipline the rest serves. Before founding Prioriti AI in 2019 I was Head of Design at Brillio Design Studio, and spent six years at Tata Consultancy Services as Partner and Chief Innovation Officer for DESS. I arrived there by way of my own company — The Social Café, a boutique digital experience agency I founded in 2006 and led until its exit to TCS.
Earlier I held executive technology and innovation roles at Siebel Systems and Mercury, as a founding member of Siebel’s Professional Services organization and the Siebel UAN product team. I started in software engineering in 1989, and spent the mid-nineties at The Coca-Cola Company.
Agentic AI closes the gap between strategy and execution — transforming enterprise intent into intelligent action at unprecedented speed and scale. In an economy where the experience is the offering, design is still what decides whether any of it is worth the customer's time. That is why I lead with the design and let AI do the running.Skip Vanderburg
Enterprise experience
Engagements delivered across financial services, retail, technology, telecoms, automotive, healthcare, agriculture and higher education — the environments this practice was built out of. Click a highlighted enterprise for the details.
Named organizations reflect engagement history of the founders and their teams. All marks are the property of their respective owners; no endorsement or current relationship is implied.
The same interface resolved through the same semantic tokens. Switch it and watch what stays fixed — hierarchy, state color, contrast, density. That is a dual-mode system rather than two separate skins.
Every capability the portal did, was asked to do, or had been promised — put through one model, then cut by a threshold the executive team set itself.
Four hundred and fifty spreadsheet rows hide the shape of a portfolio. Here it is plotted — value against ease of delivery, sized by reach, colored by persona. Move the weight and watch the funding line rotate: the argument worth having is about the weight, not the list.
The portal serves three people who want different things from it. Each got its own weight set, its own ranking of the same 450 items, and its own roadmap view. Select a persona to isolate it.
What cleared the line, ordered by dependency into four horizons and four tracks — the view a board can fund, on top of the sequence a delivery team can run.
One workbook, eight sheets. Three are the scoring lenses, one is the answer, and four are what make the answer defensible six months later — the register, the criterion definitions, the KPI per initiative, and the capability gap each one has to close.
Each initiative was scored independently in three sheets before anything was averaged. Keeping them apart shows which lens is carrying an initiative and which is sinking it.
All fourteen initiatives as the workbook scored them. Re-sort and watch it re-order — the composite is what got funded, but the three lenses underneath disagree, and the disagreement is the finding.
Ten chapters building one argument in order: why experience is now a competitive position, what best-in-class looks like and where it falls short, what the investment is worth, the architecture and organization to deliver it, and how the return gets proven.
The chapter the engagement turned on. Experience initiatives rarely fail on design — they fail on the org chart, where function, line of business, and channel each own a piece and measure something different. Select a model and watch the wiring change.
Companies design experiences continuously and measure them annually. The assessment replaces that with a seven-step method — and the step most skip is normalization, which stops four disagreeing sources being averaged into a number nobody trusts.
Four categories of source feed it. Select one.
And a named owner for the reporting, because reports lapse when nobody is accountable for them.
Three workstreams in sequence, each feeding the next: understand the market and the audience, decide what to do with what already exists, then define the architecture that carries it.
Six weeks stayed six weeks because both lists were written down before the work started: what was defined precisely enough to analyze, and what the business wanted but held for a later phase — a not-this list agreed in advance.
Ten inputs requested before any outside data was layered on top — analytics, CRM, research, call center, NPS. The market view was built around what the company already knew about itself.
Twenty-eight pages across six areas of the statement experience. Not six features — six parts of one control system, each drawn in every state it moves through.
The core of the redesign, rebuilt here so you can use it. Switch the card context and watch controls appear and disappear — a corporate card gets no points or receipts, and a card with no supplementaries has nothing to break spend down by. Change the time control and the period follows.
The heaviest chapter in the set. Tags are the cardmember’s own vocabulary laid over the bank’s — select one and watch the total recompute. Tag a second charge from the same merchant and the advisor offers to do the rest, once, reversibly.
What the proof of concept had to demonstrate, end to end. Each stage shows what happens and a schematic of the screen that carries it.
One object, several products, everything each product needs hanging underneath. This is what the portal had to let a client build unaided — deliberately the same structure the back office already used.
The deck closes on questions rather than conclusions — the six the proof of concept left on the table, named so they got answered in design rather than discovered in build.
One page: seven phases across the top, five swim lanes down the side, every cell filled in before day one. Select a phase for its intent, what happens in the room, and what it produces.
Session one walks the method end to end, grounded in the d.school model and carried one stage further than most versions of it. Select any stage.
The blueprint names the facilitation method explicitly: a non-linear process. The stages are drawn in order and deliberately not run in order — a room marching through six boxes has stopped doing what the boxes are for.
The second and third sessions exist because design thinking installed beside an existing delivery model gets ignored by it. Three practices, brought into one operating model.
Each tile is a component with its own design, iteration, and sign-off, sized by how much of the archive it accounts for. The four largest are not member-facing screens — they are the shared foundations that let the other twenty-six stay coherent.
The composition of the archive says more than any summary would. Editable wireframe source rather than exported pictures; layered originals beside the flattened comps; a type system packaged so everyone rendered the same faces.
Iteration is not overhead here — it is most of the archive.
And it ran for years before it peaked, which is what a genuine revamp of an entire online experience looks like from the outside.
The pattern the engagement was built around, reconstructed so you can use it. Turn the spread, tap a point to shop the look, then switch to the grid — the same assortment read two ways, because browsing and hunting are different jobs done by the same person minutes apart.
Why this was a priority rather than a project. Three channels against what a customer actually needs from them. The store keeps one thing outright and no amount of digital replaces it; everything else is where the shift happens.
A shoppable catalog looks like a photograph with dots on it. Underneath it is six problems solved together — and the one that decides whether it survives its second season is not the one customers see.
What the organization needed to know, in its own framing — and a deliberately narrow scope to answer it properly rather than broadly.
Every registration touchpoint mapped and scored against the same nine criteria, so the ranking was arithmetic anyone could re-derive rather than a matter of taste.
Then each touchpoint was valued twice: what it is worth to the person going through it and what it is worth to the institution are not the same number.
Behind the pilot sits one method applied the same way to every kind of work — Discover, Design, Develop, Delivery. Select an offering for what each phase contains.
Four objectives set the boundary of the work.
Each study answers a question the next one depends on. Select a phase to see what happens inside it and what comes out.
The enabling study ran fourteen workstreams in parallel, each producing a piece of the reference architecture and a line in the business case. Select any of them.
Three scenarios were built out to show what re-imagining actually produces, rather than describing it. Select a scenario.
Payer spending in that period concentrated on five themes. Select one.
Five working sections, in an order that put the organization’s own position first. Select any of them.
The framing underneath the whole conversation: five digital technologies had matured far enough to change a business, and their value shows up where they land on the business model, not in the technology.
The closing mechanism, named rather than left to a follow-up meeting.
The architecture put against it: a member view assembled from what the plan holds, what can be derived from it, and what happens outside it.
Six use cases, each one a decision somebody in the plan has to make anyway — currently without the whole picture.
The engagement framework spans the whole member lifecycle rather than the acquisition end of it. Select a stage.
The home screen was reorganized around what an employee wants to know when they open it, and each column was given one of those questions to answer.
Twelve modules make up the screen. Select any of them to see what it does and the usability decision behind it.
The experience had to work across devices, so the design was delivered at two sizes. Switch between them and watch the modules move.
Carried on both layouts Only in this layout Steps back at this size
Three properties, and the argument rests on all three holding at once.
Foundations and accelerators recombine into disruptive scenarios. Select any point on the curve.
Each one starts from a single premise and follows it into every industry it touches. Select a scenario.
The ecosystem of stakeholders that scenario reaches — and the point is how few of them think of themselves as being in that industry.
What follows if it happens.
And how it gets re-imagined by the people who move first.
What an organization actually has to change to be on the useful side of any of this. Select any enabler.
Sense and respond assumes an analytic foundation, and the foundation has three stages that have to be built in order.
Seven elements hold their position on every screen, which is what makes an unfamiliar surface learnable in one session. Select any of them.
The whole purchase, from picking up an existing quotation to a policy in force. Step through it — the schematic rebuilds for each screen.
Nineteen decisions that make a regulated financial product buyable on an unattended table. Filter by where each one sits in the experience, and select any card.
Not making it prettier. Optimizing an experience means reducing the work a person has to do — measured in steps, in clicks, in what they have to hold in their head, and in how much they have to re-learn on each screen.
Each token carries a meaning rather than a color. Dark left, light right — the role is identical, only the value resolves differently.
Perspective
Most experience advice comes from one vantage point, most AI advice from another. The useful judgment sits where all three seats overlap — someone who has had to build it, sell it upward, and put their own money behind it.
Engineering leadership at Coca-Cola and executive roles inside Siebel and Mercury. I know what a roadmap costs when someone actually has to build against it.
Partner and Chief Innovation Officer for CX innovation and emerging technology at TCS; Head of Design at Brillio. Years designing customer experience at enterprise scale, and turning technical possibility into a narrative that survives the budget conversation.
Founder and CEO of Prioriti AI, and before that founder of The Social Café — an experience design agency built and carried to an exit. Twice with my own capital on the line. It changes how carefully you rank things.
Background
Founder & Chief Experience Officer
Founded f/cx.ai, a customer experience design and innovation agency built for the AI era, and lead it as principal design strategist — setting the design point of view, the innovation methods, and the ToolKit engagements run on. Also carry Prioriti AI’s products to market and advise leadership teams on decision intelligence.
Founder
Built an enterprise AI company on agentic decision intelligence and generative prioritization, moving AI from experimentation into repeatable executive decision workflows. Created the platform IP uniting multiple AI perspectives, live enterprise data, and structured decision frameworks.
Head of Design
Established Brillio’s Silicon Valley experience-design presence: the design-thinking practice, tool frameworks, and offerings for the Global Design Studio. Led design across digital transformation programs.
Partner & Chief Innovation Officer, DESS · CX Innovation, Design & Emerging Technology Leader
Led customer-experience innovation, design, and emerging technology for global enterprise clients. Built executive perspectives on digital experience, mobility, wearables, and personalization that leaders could act on.
Founder & Chief Experience Officer
Founded and led a boutique digital experience and innovation agency, helping companies launch and compete in the digital age. Consulted to Comframe Software (an NWN company), establishing its usability and user-experience engineering group, 2007–2009.
Executive Technology & Innovation Roles
Founding member of Siebel’s Professional Services organization and the Siebel UAN product team; ran the Architecture and EAI global competencies. At Mercury, led Managed and Professional Services initiatives and served as product liaison for the performance tools suite.
Manager, New Architecture Software Applications
Managed new-architecture application development and served as lead architect for bag-in-box (BIB) systems, designing the BIB tracking and labeling system alongside inventory and location control systems.
Software engineering
Hands-on engineering roles that built the technical foundation underneath three decades of later technology strategy.
Writing & thought leadership
Executive speaker on operationalizing AI — framing the leadership imperative as starting with decisions and business value, not technology alone.
Featured expert on agentic AI, enterprise adoption, and the shift from AI pilots to operational infrastructure.
Creator and host of a 15-episode series on decision intelligence, generative AI, prioritization, ethics, and enterprise implementation.
Scope
Customer experience strategy & design
Solution innovation
The AI capability underneath
Enterprise & board
Contact
An experience that no longer holds up. A decision about what to reinvent first. An innovation program stuck at the workshop stage. Bring the specific one, and we will work it in a single session.