f/cx.ai gives enterprise organizations senior customer experience direction and genuine AI fluency in the same room — engaged fractionally, for the work in front of them, rather than as a full-time hire or a standing agency bench.
Who you work with
The people in the room are the people doing the work.
A small senior team, not a pyramid. The person who diagnoses the problem is the person who designs the answer and sits in the steering committee when it is argued — on a standing cadence with decisions closing each week.
Enterprise experience
Fifteen enterprises, one way of working.
SAP, Bank of America, American Express, Verizon, Prudential, P&G, Bayer Crop Science, Cambridge and more. Financial services, retail, technology, telecoms, healthcare, agriculture and higher education — the environments this practice was built out of.
How we think
Diverge to see the options, converge to commit.
Design thinking gives the work its shape. We widen the option space deliberately, then close it on evidence agreed in advance — because a strategy is defined by what it declines, not by what it lists.
What we leave behind
Capability that stays after we go.
Evidence beats seniority, and the standard for it is set before the first workshop. When we release, the model, the method and the evidence trail live with your people — otherwise it was consulting, not change.
The pod — hover a functionOperating cadence — hover a weekDiagnostic scan — hover a layerDecision path — hover a branchGates and evidence — hover a gate
About us
A customer experience design and innovation agency for the AI era
f/cx.ai designs the experience an enterprise intends to deliver,
and proves it before the money is committed.
We are a customer experience design and innovation
agency built for a moment when enterprise CX is being rebuilt around artificial intelligence.
Our work runs from the executive direction — what experience the organization is going
to compete on, and who owns the customer outcome — through the journeys and service
models that direction implies, to working prototypes tested with real customers before a
delivery year is spent on them.
The firm is deliberately small and deliberately
senior. Clients engage us fractionally: the seniority is in the room when the decisions are
made, without the cost of a permanent executive hire or the overhead of a standing agency
bench. Three areas and twenty-two solutions let an organization start with a single
briefing and scale the commitment only as far as the work justifies.
The methods, the tools, and the reference library we
bring were built inside enterprise programs — financial services, insurance, healthcare,
retail and consumer goods, telecommunications, technology, and higher education — where
experience decisions carry regulatory weight, and where an AI answer has to hold up under
real volume, real risk review, and real cost.
Our purpose
To give enterprise leaders a customer experience they can defend with
evidence — designed around what customers actually value, built with AI where it
earns its place, and owned by the people who have to live with it after we go.
Our services
Three areas, twenty-two solutions
Every engagement draws on one or more of these. Most
start with a diagnostic, and none of them end at a recommendation.
Where new ideas are ideated, incubated, and piloted — including AI in the customer path — and only the ones the evidence supports get scaled.
CX Innovation Lab & Experience Prototyping
Generative UI & AI-Native Interface Design
Agentic Service Design & Deployment Plan
Contact Center Modernization & Agent Assist
CX Governance, Trust & Enablement
The practice, quantified
By the numbers
3
Areas — CX Strategy, the Design Studio, and the Innovation Lab
22
Solutions across the three, each with four named deliverables
6
Ways to engage — from a single executive briefing to a retained seat
22
Proprietary AI-driven CX and innovation decision-intelligence modules built for enterprise
How we are built
Three things that decide how the work runs
Senior only
There is no delivery pyramid underneath the people you meet. The person who diagnoses the problem designs the answer and sits in the room when it is argued.
Fractional by design
You carry the seniority through the quarter where the decisions get made, and not through the quarters where they do not. The commitment scales to the work, not to a headcount line.
Evidence before conviction
The standard a piece of work has to clear is agreed before it starts, and the model, the method, and the evidence trail stay with your people when we release.
Our IP
The tools we built, and own
f/cx.ai owns the IP its engagements run on —
the entire ToolKit and AmorphiaUI AI. Clients get the outcomes; the tools stay ours.
The f/cx.ai ToolKit
Twenty-two modules the engagements run on — diagnosis, design, decisioning and measurement, including the AI-Driven Experience Audit Framework. Explore the ToolKit →
f/cx.ai Online Tools
The readiness assessment, decision instruments, Engagement Configurator and a 56-template library, all running live. Open the console →
AmorphiaUI AI
A generative AI UI agent app: you build the agent, it builds the interface — with an assurance console that shows the evidence behind every answer. Built by f/cx.ai and designed by Skip Vanderburg. Visit AmorphiaUI →
About f/cx.ai. f/cx.ai is a customer experience design and innovation agency for the AI era, working with enterprise organizations to design, prototype, and prove the journeys, service models, and AI agents their customers actually move through. Founded in 2026 and headquartered in San Francisco, the firm is organized around three areas — CX Strategy, a Design Studio, and an Innovation Lab — delivering twenty-two solutions, engaged fractionally, at the seniority the decision requires. f/cx.ai owns the IP it delivers with: the f/cx.ai ToolKit and AmorphiaUI AI. To start a conversation, write to innovate@fractionalcx.ai.
What we do
A senior design team, engaged fractionally
Enterprise customer experience is being rebuilt around AI,
and most organizations are attempting that rebuild without a seat at the table that understands both
halves of the problem. CX leaders are handed AI mandates they did not scope. Technology leaders are
handed customer outcomes they cannot measure. The work stalls in between.
We sit in that gap. We work with executive teams to set the
experience direction, design the journeys and service models AI is going to change, and turn both
into decisions the business can fund and defend — then stay close enough to the delivery teams
that the design survives contact with reality.
Fractional is the point. You get the seniority when the
decisions are being made, without carrying the role through the quarters when they are not.
The team
Who you work with
A small senior team — the people in the room are the people doing the work.
Skip Vanderburg
Founder & Chief Experience Officer
Sets the direction of the agency and leads executive engagements — bringing senior CX and AI perspective into the room where the decisions actually get made.
Karene Conlin
Co-Founder & Chief Customer Care Officer
Leads the care and service design team — how human and AI agents work together on the floor, and what it takes for an AI-led service model to hold up under real volume.
Rick Bogdan
Chief Revenue Officer & Head of Accounts
Leads sales and business development — four decades of solution sales to Fortune 500 companies, now focused on helping f/cx.ai clients grow.
Jerria Lazaga
Director of Research, Marketing, & Operations
Runs marketing and the operating side of the agency — how the work reaches the market and how engagements run smoothly from first conversation to final deliverable.
Enterprise experience
Where the founder has done the work.
Customer experience design and innovation engagements
delivered for enterprise organizations across financial services, retail, technology, telecoms,
automotive, healthcare, agriculture and higher education — the environments this practice was built
out of. Click a highlighted enterprise to review the details of that
engagement.
7Financial services & insurance
4Retail & consumer
3Technology, telecoms & mobility
2Life sciences & education
Named organizations reflect engagement history of the founders and their teams.
All marks are the property of their respective owners and are shown for reference only; no
endorsement or current relationship is implied.
The next-generation interface
Both modes are the same interface resolved through the same semantic tokens.
Switch it and watch what stays fixed — hierarchy, state color, contrast and density do not
move. That is the point of a dual-mode system rather than two separate skins.
Data CustodianSearch records, owners, policies
Custody overview
Last 30 days
4,182Records
96Owners
12Needs review
RecordOwnerState
Customer masterData officeHeld
Payment tokensTreasuryReview
HR directoryPeople opsHeld
What the engagement produced
Every capability and feature 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.
The prioritized scatter
Four hundred and fifty rows in a spreadsheet hides the shape of a portfolio.
Here it is plotted — value against ease of delivery, sized by reach, colored by the persona
it serves. Switch the lens, then move the weight and watch the funding line rotate: the argument
worth having is about the weight, not about the list.
Persona lensWeighting
Value emphasis60%
Ease emphasis40%
0above the funding line at these weights, of 450 in view
Three primary personas
The portal serves three people who want different things from it. Each one got
its own weight set, its own ranking of the same 450 items, and its own view of the roadmap
— select a persona above to isolate it in the scatter.
Roadmaps, at every level
What cleared the line, ordered by dependency into four horizons and four
delivery tracks — the track-level view a board can fund, sitting on top of the
feature-level sequence a delivery team can actually run.
The deliverable
One workbook, eight sheets. Three of them are the scoring lenses, one is the
answer, and the other four are what make the answer defensible six months later — the
register everything was scored against, the written definition of every criterion, the KPI per
initiative, and the capability gap each one has to close. Select a sheet.
Three lenses, seventy criteria
Each initiative was scored independently in three sheets before anything was
averaged. Keeping them apart is the whole method: it shows which lens is carrying an initiative
and which one is sinking it.
The ranked output
All fourteen initiatives as the workbook scored them. Change what the list is
sorted by and watch it re-order — the composite is the answer that was funded, but the
three lenses underneath it disagree, and the disagreement is the finding. Select any row for
its three scores and what it was.
Sort by
The deliverable
Ten chapters that build one argument in order: why experience is now a
competitive position, what best-in-class actually looks like including where it falls short,
what the investment is worth, the architecture and the organization needed to deliver it, and
how the return gets proven. Select any chapter.
Five ways to organize for experience
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 each measure something different. Select a model and watch the wiring change:
who advises, who controls, and how many separate paths the customer ends up walking.
Measuring an integrated experience
Companies design experiences continuously and then measure them annually.
The assessment replaces that with a seven-step method — and the step most organizations
skip is normalization, which is what stops four disagreeing data 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 tracks
The engagement ran as three workstreams in sequence, each one feeding the
next: understand the market and the audience, decide what to do with what already exists, then
define the architecture that carries it. Select a track for what it covered and what it
produced.
How it was bounded
Six weeks stayed six weeks because both lists were written down before the
work started. On the left, what was defined precisely enough to analyze. On the right, what
the business genuinely wanted and deliberately held for a later phase — a not-this list
agreed in advance rather than negotiated halfway through.
Defined up front
Held for a later phase
The planned six-week schedule, with each track opening before the one
before it closes.
What the analysis ran on
Ten inputs requested from the business before any outside data was layered
on top — their analytics, their CRM, their research, their call center, their NPS. The
market view was built around what the company already knew about itself rather than in place
of it.
The deliverable
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.
Select an area.
The control bar, running
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 does not get points
or receipts, and a card with no supplementaries has nothing to break spend down by. Change the
time control and the period follows; on Statements you can step back through prior periods.
Collapse the visualization and the table takes the space.
Tagging, and the advisor behind it
The heaviest chapter in the set. Tags are the cardmember’s own
vocabulary laid over the bank’s — select one to filter the list and watch the total
recompute. Tag a second charge from the same merchant and the advisor offers to do the rest
for you, once, reversibly.
The workflow, walkable
What the proof of concept had to demonstrate, end to end. Step through it
— each stage shows what happens and a schematic of the screen that carries it.
The request package
One object, several products, and everything each product needs hanging
underneath it. This hierarchy is what the portal had to let a client build unaided — and
it is deliberately the same structure the back office already worked with.
What was still open
The deck closes on questions rather than conclusions. These are the six the
proof of concept deliberately left on the table — named, so they got answered in design
rather than discovered in build.
The blueprint, walkable
The deliverable is one page: seven phases across the top, five swim lanes
down the side, and every cell filled in before day one. Select a phase to open its intent,
what happens in the room, and what it has to produce.
Six stages, run out of order
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
that believes it is marching through six boxes has stopped doing the thing the boxes are
for.
Joined to how they already deliver
The second and third sessions exist because design thinking installed beside
an existing delivery model gets ignored by it. These are the three practices the workshop
brings into one operating model, and the topics each one contributed.
Thirty components, in parallel
Each tile is a component of the experience that had 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 at all — they are the shared foundations that let the other
twenty-six stay coherent. Select any component.
What the work was actually made of
The composition of the archive says more about the engagement than any
summary would. Editable wireframe source rather than exported pictures; layered originals kept
beside the flattened comps; and a type system packaged so every person on the team 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 catalog, made interactive
The pattern the engagement was built around, reconstructed here so you can
use it. Turn the spread, tap a point on the image to shop the look, then switch to the grid
— the same assortment, read two ways, because browsing for inspiration and hunting for a
specific item are different jobs done by the same person minutes apart.
Beyond brick and mortar
Why this mattered enough to be a priority rather than a project. Three
channels against what a customer actually needs from them — select any row for what is
really going on in it. The store keeps one thing outright, and no amount of digital replaces
it; everything else is where the shift happens.
What it takes to build one
A shoppable catalog looks like a photograph with dots on it. Underneath, it
is six problems that have to be solved together — and the one that decides whether it
survives its second season is not the one customers ever see.
The pilot
What the organization needed to know, in its own framing — and a
deliberately narrow scope to answer it properly rather than broadly.
How a touchpoint was judged
Every registration touchpoint was mapped and then scored against the same
nine criteria, so the ranking that came out of it was arithmetic anyone could re-derive rather
than a matter of taste. Select any criterion.
Then each touchpoint was valued twice, because what
it is worth to the person going through it and what it is worth to the institution are not the
same number.
The experience designed
What the client left with
Five offerings, one process
Behind the pilot sits a method applied the same way to every kind of work
— Discover, Design, Develop, Delivery. Select an offering to see what each of the four
phases actually contains for it.
The premise
Four objectives set the boundary of the work.
Four tracks, run together
Three studies
Each study answers a question the next one depends on. Select a phase to see
what happens inside it and what comes out.
The architecture workstreams
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.
The art of the possible
Three scenarios were built out to show what re-imagining actually produces,
rather than describing it. Select a scenario.
The agenda payers were already working from
Five investment themes
Payer spending in that period concentrated on five themes. Select one.
How the discussion was structured
Five working sections, in an order that put the organization’s own
position first. Select any of them.
Five forces, six building blocks
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 rather than in the technology itself. Select a force to see where it lands.
Turning a discussion into an initiative
The closing mechanism, named rather than left to a follow-up meeting.
Why a single member view did not exist
Three sources, one view
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.
↓
What the view is for
Six use cases, each one a decision somebody in the plan has to make anyway
— currently without the whole picture.
Analytics along the relationship
The engagement framework spans the whole member lifecycle rather than the
acquisition end of it. Select a stage.
What was wrong with it
One field, three things people look for
Three questions, three columns
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.
The components
Twelve modules make up the screen. Select any of them to see what it does
and the usability decision behind it.
One experience, more than one device
The engagement asked for the experience to work across devices, so the
design was delivered at two sizes. Switch between them and watch the modules move —
then select any module to see what happens to it.
Carried on both layoutsOnly in this layoutSteps back at this size
Why this wave is different
Three properties, and the argument rests on all three holding at once.
Components in, industries out
Foundations and accelerators recombine into disruptive scenarios. Select any
point on the curve.
Foundations
Accelerators
Two scenarios, worked all the way down
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.
Where an insurer sits
PartialKnowledge of the end consumerCompleteEcosystemValue chain
The turn
Eleven evolution enablers
What an organization actually has to change to be on the useful side of any
of this. Select any enabler.
From describing to prescribing
Sense and respond assumes an analytic foundation, and the foundation has
three stages that have to be built in order.
The business evolution continuum
FoundationalEmergent
What the surface had to be
The frame that never moves
Seven elements hold their position on every screen, which is what makes an
unfamiliar surface learnable in one session. Select any of them.
Nine screens, end to end
The whole purchase, from picking up an existing quotation to a policy in
force. Step through it — the schematic rebuilds for each screen.
The usability capabilities
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.
What “optimizing UX” actually means
Not making it prettier. Optimizing an experience means reducing the
work a person has to do to get their job done — measured in steps, in clicks, in things they
have to hold in their head, and in how much of the interface they have to re-learn on each screen.
One system, two renderings
Each token carries a meaning rather than a color. Dark on the left of every
swatch, light on the right — the role is identical, only the value resolves differently.
How we think
Four things we believe
Design thinking gives the work its shape — diverge to
widen the option space, converge to commit. Below, each conviction is drawn as the mechanism it
actually describes, and every switch between them runs that same diverge-then-converge cycle.
Discover · DefineDiverge→Converge
Pick a conviction, or let it cycle.↑↓to move
The imperative isn’t to start with the technology. It’s to design around the customer moments
that move the business — and then build the AI capability that makes those moments faster, clearer,
and more consistent.
Who we work with
Built for enterprise — and beyond
Customer experience is owned by one function and
experienced across all of them, which is why it is argued about at this level. Below is the
table it gets argued at — what each seat actually needs, where we plug in, and where
the return lands. Select a seat.
CEO
Chief Executive Officer
One experience direction the whole company is actually funding — and evidence it is working, in the language the board already uses.
What this seat needs
A direction the executive team has signed, not five functional versions of it
Confidence that CX spend is going somewhere defensible
Experience movement reported next to revenue, cost, and risk
What good looks like
Investment is argued against a stated strategy rather than against whoever asked most recently, and the CX number appears in the operating review without being re-explained.
The benefit to the role
The customer experience conversation reaches the board as a business argument with numbers attached, instead of a satisfaction score nobody can act on.
Return on investmentCost to serve moves directly, and the model is built on your own volumes.
Return on experienceFewer forced contacts is itself a better experience, if resolution holds.
Relative emphasis for this seat — where the case is easiest to make and where the value actually lands. Not a forecast.
CCO
Chief Customer Officer
Real ownership of a journey that crosses four functions — and evidence strong enough to arbitrate with.
What this seat needs
Authority that matches the accountability already assigned
A baseline taken before anything ships, so movement can be attributed
The few moments that actually decide whether a customer stays
What good looks like
Signature moments are designed end to end, each release carries one measure and a baseline, and journey-level movement is reported alongside the operational numbers.
The benefit to the role
Arbitration stops being a contest of opinions. The evidence decides, and the decision holds past the meeting.
Return on investmentEffort concentrates where value leaks instead of spreading across the map.
Return on experienceThis is the seat where return on experience is the job, not a by-product.
Relative emphasis for this seat — where the case is easiest to make and where the value actually lands. Not a forecast.
CMO
Chief Marketing Officer
The promise marketing makes surviving contact with what service can actually deliver.
What this seat needs
One experience standard across the funnel and the journey behind it
Acquisition spend that is not quietly undone at the first service failure
A way to test new experience ideas before committing the brand to them
What good looks like
The promise, the interaction, and the memory are designed as one thing, and concepts are tested with real customers before the campaign that depends on them is booked.
The benefit to the role
Brand promise and delivered experience finally measured as a single number rather than as two functions each hitting their own.
Return on investmentRework avoided, and vendor commitments pressure-tested before signature.
Return on experienceReliability is experience: nothing degrades a journey faster than a broken handoff.
Relative emphasis for this seat — where the case is easiest to make and where the value actually lands. Not a forecast.
CFO
Chief Financial Officer
A customer experience case built on assumptions finance has already agreed to.
What this seat needs
Value split into cost to serve, retained revenue, and avoided cost, modeled separately
Every assumption sourced, editable, and open to argument
A measurement plan that can prove the model wrong on schedule
What good looks like
The conservative case is the one submitted and approved, and the benefit is verified against a baseline rather than asserted in the following year's deck.
The benefit to the role
An investment argument that survives its second year, because the measurement was designed at the same time as the spend.
Return on investmentThis is the seat the return on investment case is written for.
Return on experienceExperience return shows up here late — as churn that did not happen.
Relative emphasis for this seat — where the case is easiest to make and where the value actually lands. Not a forecast.
CRO
Chief Risk & Compliance Officer
Customer-facing AI that risk and legal can sign without a late-stage rewrite.
What this seat needs
A seat at design time rather than at review
Guardrails with named owners and an evidence trail that holds
Human review on the paths that carry real consequence
What good looks like
Approval becomes a scheduled step in the plan. Red-team findings are fixed before launch, and the audit trail answers how a decision was made months later.
The benefit to the role
Risk shapes the design instead of stopping the launch — which is both cheaper and considerably less adversarial.
Return on investmentThe expensive version of this is discovering a constraint at review.
Return on experienceTrust preserved is experience preserved; an incident costs both at once.
Relative emphasis for this seat — where the case is easiest to make and where the value actually lands. Not a forecast.
CHRO
Chief People Officer
Advisors whose jobs are changing, in an organization that has told them very little about it.
What this seat needs
Role redesign done with the floor rather than to it
Reskilling that matches what the work actually becomes
Adoption measured on the floor, not assumed from a completion rate
What good looks like
Advisors understand what changed and what their role becomes, supervisors get signal they can coach against, and attrition is watched as a design input.
The benefit to the role
Attrition and adoption are treated as design constraints from the start, instead of as a change-management problem handed over at the end.
Return on investmentAttrition and rehiring are among the least visible and most expensive line items.
Return on experiencePeople who understand the change deliver it; people who do not, leave.
Relative emphasis for this seat — where the case is easiest to make and where the value actually lands. Not a forecast.
The founder
Skip Vanderburg
Founder & Chief Experience Officer
Skip has spent two decades designing customer experience for
enterprise organizations, and the years since building the AI that is now rewriting it.
f/cx.ai exists because those two halves are still
being handled by different people in different meetings.
His career started in experience design, not in AI. In
2006 he founded The Social Café, a boutique
digital experience and innovation agency, and led it as Chief Experience Officer — the same
title he holds here — until its exit to Tata Consultancy Services in 2012. He stayed six
years, as Partner and Chief Innovation Officer for TCS’s digital enterprise software and
services unit, leading CX innovation, design, and emerging technology for global enterprise
clients. He then established Brillio Design Studio’s Silicon Valley experience-design
presence as Head of Design.
The AI half came from building it. In 2019 he founded
Prioriti AI, a decision intelligence company whose
platform uses agentic AI to help enterprises generate, evaluate, and prioritize initiatives with
evidence attached. That work is why the AI conversation here starts with what the technology
actually does under load, and what it costs to run.
Before any of it, he spent nearly two decades as an
operator — software engineering from 1989, new-architecture application development at
The Coca-Cola Company, and executive technology roles at Siebel Systems and Mercury, where he
was a founding member of Siebel’s Professional Services organization and of the Siebel
UAN product team.
Design leadership at enterprise scale. Six years leading customer-experience innovation, design, and emerging technology for global enterprise clients at TCS, and the Silicon Valley design practice he established at Brillio.
An agency he built and sold. The Social Café — a boutique digital experience and innovation agency founded in 2006, led as Chief Experience Officer, and exited to Tata Consultancy Services in 2012.
AI fluency earned by building it. Founder and Chief Product Visionary and Evangelist of Prioriti AI, an agentic decision intelligence platform in production with enterprise customers — not a vendor briefing deck, but the engineering and economics of shipping AI into real decisions.
The operator’s memory. Software engineering from 1989, application development at The Coca-Cola Company, and executive roles at Siebel and Mercury. He knows what a roadmap costs when someone actually has to build against it.
35+
Years turning emerging technology into decisions a business can act on
2006
Founded his first experience design agency; exited to Tata Consultancy Services
3
Published books on generative AI, decision intelligence, and prioritization
15
Podcast episodes on enterprise AI, implementation, and ethics
Writing & thought leadership
Skip is the author of three books on
generative AI and decision intelligence — Illuminating Pathways,
The Rise of Decision Intelligence, and The Future of Generative AI — and
created and hosted the fifteen-episode Illuminating Pathways podcast on decision
intelligence, prioritization, ethics, and enterprise implementation. He speaks to executive
audiences on operationalizing AI, and on why that work starts with decisions and business value
rather than technology alone.
Customer Experience StrategyHuman-Centered DesignJourney & Service DesignAgentic AIDecision IntelligenceContact Center ModernizationAI Governance & Responsible AdoptionDigital TransformationEnterprise IntegrationBoard & C-Suite Advisory
The co-founder
Karene Conlin
Co-Founder & Chief Customer Care Officer
Karene Conlin is dedicated to helping organizations create
stronger, more meaningful relationships with their customers. At
f/cx.ai, her aim is to help companies use the
possibilities of technology and artificial intelligence thoughtfully — making every customer
interaction more effective, more personal, and ultimately more rewarding.
She brings an understanding of both business and
technology to the challenge of improving the customer experience, with a particular focus on
listening, responsiveness, and recognizing what customers truly need.
As Co-Founder of f/cx.ai, Karene draws on a
wide-ranging career encompassing information technology, business development, sales,
marketing, account management, consulting, technical recruiting, customer service, and client
relationship management. She has worked with major technology organizations, Fortune 500
companies, entrepreneurial ventures, and start-ups, including
Xerox Computer Services, Pacific Bell,
MCA Universal Studios, Octel Network Services, Scopus,
Siebel Systems / Oracle, Randstad Technologies,
and Autodesk. She also served as President of
Roxene Lee & Associates, Inc., where she built
and managed client relationships while helping organizations identify and implement solutions
to complex business and technology needs.
At the heart of Karene’s work is a simple
conviction: people want to know that they have been heard, understood, and valued. Technology
can make customer service faster and more capable, but Karene believes the relationships that
endure are still built on trust, attentiveness, responsiveness, and genuine human concern. That
belief has guided her throughout her career, and it is central to the purpose of f/cx.ai —
using powerful new technology not to diminish the human connection, but to make it better.
Both halves of the problem. She brings an understanding of both business and technology to improving the customer experience — with a particular focus on listening, responsiveness, and recognizing what customers truly need.
A career spanning the whole relationship. Information technology, business development, sales, marketing, account management, consulting, technical recruiting, customer service, and client relationship management.
Enterprise and early stage alike. Major technology organizations, Fortune 500 companies, entrepreneurial ventures, and start-ups — the same problem at very different scales.
Ran her own practice. As President of Roxene Lee & Associates, Inc., she built and managed client relationships while helping organizations identify and implement solutions to complex business and technology needs.
Selected organizations
Xerox Computer ServicesPacific BellMCA Universal StudiosOctel Network ServicesScopusSiebel Systems / OracleRandstad TechnologiesAutodeskRoxene Lee & Associates
Customer CareClient Relationship ManagementCustomer Service OperationsAccount ManagementBusiness DevelopmentConsultingTechnical RecruitingSales & MarketingInformation TechnologyAI-Enabled Service
Sales & business development
Rick Bogdan
Chief Revenue Officer & Head of Accounts
With more than four decades of solution sales
experience, Rick Bogdan has delivered essential labeling and packaging solutions to
Fortune 500 companies, helping them meet customer requirements, improve customer
experiences and retention, and drive growth.
From the outset, Rick has solved problems for
Fortune 500 clients across package delivery, logistics, e-commerce, warehousing and
distribution, and food wholesale.
He has held roles including
Regional Sales Manager, International Sales Manager,
Director of Marketing, and Vice President of Sales and Marketing
at WLG, ITW, IIMAK, Nashua, and, most recently, Prioriti AI.
His experience and skills position him to support
your growth and profitability.
Four decades of solution sales. Essential labeling and packaging solutions that help Fortune 500 companies meet their customers’ requirements.
Experience and retention. His work helps clients improve customer experiences and retention — and drive growth.
Industries that move goods. Package delivery, logistics, e-commerce, warehousing and distribution, and food wholesale.
Sales and marketing leadership. From regional and international sales management to Vice President of Sales and Marketing.
Jerria has spent the last five years learning how
Prioriti AI — a decision intelligence
company whose platform uses agentic AI to help enterprises generate, evaluate, and prioritize
initiatives with evidence attached — runs, from the inside out.
She joined Prioriti AI in 2021 as an
Administrative and Operations Assistant,
working close to the CEO and CFO on the financial and operational details that kept the
company on track.
From there, she moved into an
Executive Assistant role, sitting in on
Executive, Investor, and Advisor meetings and working directly with the product team on
usability and testing — getting a close view of how the platform was being built
and evaluated.
That path led her into
marketing, where she took ownership of the
company’s content, brand voice, and social presence, shaping how Prioriti AI
presents itself in the market.
Close to the operating detail. She started alongside the CEO and CFO, on the financial and operational detail that kept the company on track — the version of a business you only see from the inside.
In the meetings where it was decided. As Executive Assistant she sat in on Executive, Investor, and Advisor meetings, watching the company get explained to the people who fund and advise it.
Next to the product. She worked directly with the product team on usability and testing, which gave her a close view of how the platform was actually being built and evaluated.
Owns how it sounds. Content, brand voice, and social presence — she shapes how the company presents itself in the market.
5
Years inside a decision intelligence company, from operations through marketing
2021
Joined Prioriti AI as an Administrative and Operations Assistant
3
Roles held — operations, executive support, and marketing
2
Executives she worked alongside directly: the CEO and the CFO