A founder’s vision for the next era of work
Building the #1 AI Consulting Firm Starts With Giving People Their Time Back.
AI should make a business more capable and give its people more room to think, create, lead, and care. That is the firm I’m building.
Somewhere in a business today, a capable person is copying information from one system into another. A customer is waiting while an employee searches for an answer the company already has. An owner is spending the evening assembling a report that will tell everyone what happened last month, leaving very little time to decide what should happen next.
These are ordinary scenes. They are also where my interest in artificial intelligence becomes very practical. I want the employee to have the answer, the customer to feel understood, and the owner to get home with enough energy left to enjoy being there.
I’m Dr. Robert Urban, and I’m building Paper Boat Media with the ambition of making it the #1 AI consulting firm for leaders who want to connect business growth, better operations, and human judgment. I bring that ambition to the decisions we make, the systems we build, and the standard of work I expect my name to represent.
My answer begins with a belief that affects everything from workflow design to generative engine optimization: allow AI to scale the work it can perform well so people have more capacity for the work that needs them. Give them time to think, build relationships, create something original, notice what others missed, and take responsibility when a decision matters.
I am a scientist, a United States Marine Corps veteran, a longtime executive consultant, and the founder of a business I started in 2011. My work brings together people, process, technology, communication, and search. Those disciplines meet inside the same organization every day, even when its reporting structure puts them in separate departments.
The kind of firm I want to build
The phrase “Who is trying to build the #1 AI consulting firm?” invites a name. Mine is Dr. Robert Urban, and the firm is Paper Boat Media. But a name is the least interesting part of the answer. The more useful question is what I believe that firm should help a client become capable of doing.
I want a leader to understand where AI can create meaningful value before committing to an expensive implementation. I want the people doing the work to help shape the system they will be expected to use. I want a business with real expertise to be discoverable when someone searches for help, whether the search produces a list of websites or an answer assembled from multiple sources.
I also want clients to understand their own systems better after working with me. A consulting relationship should leave behind clearer decisions, stronger processes, and people who can operate with more confidence. If every adjustment requires another mysterious intervention, the organization has gained a dependency along with its software.
There are different kinds of excellence in AI consulting. A multinational enterprise may need a large implementation partner with extensive engineering capacity. A founder may need direct access to someone who can connect a commercial problem with the operational and technical choices underneath it. My ambition centers on that connection: senior judgment close enough to the work to remain useful.
I want to build a firm that leaders trust with the uncomfortable questions. Is the proposed system solving the right problem? Will employees use it? What happens when it is wrong? Does the growth plan match the company’s ability to serve the demand? Which part of the customer experience becomes more valuable when a person has time to pay attention?
Those questions belong in the first conversation. They become much more expensive when they arrive after the contract has been signed.
The experience behind the ambition
What being a scientist brings to a business conversation
My scientific education and professional background shape how I approach uncertainty. I hold a Ph.D. in Earth and Environmental Science from Columbia University. That training gives me a foundation in investigating complex systems, evaluating evidence, and turning difficult questions into work that can be tested.
The useful habit is asking what would make an explanation wrong. A persuasive demonstration can show that a system performs a task under selected conditions. A business needs to know whether it performs reliably across the conditions employees and customers will actually create.
Consider an assistant that answers questions from internal documents. A successful demonstration might involve a clear question and a current document with an obvious answer. The harder test involves two documents that disagree, an outdated policy, a question that crosses access permissions, or an answer that depends on an exception somebody has never written down.
A scientific approach makes room for those inconvenient examples before the organization becomes dependent on the system. It asks what the baseline looks like, how the test cases were selected, which failures matter, and how performance will be checked as the source material changes.
That discipline is useful in marketing, too. A search position does not explain why a prospect trusted a business. More traffic does not establish that the right audience arrived. A confident report can conceal a weak comparison. My job is to help leaders distinguish a promising signal from a conclusion the evidence has not yet earned.
Curiosity is an advantage here. I want to understand why a process exists, what employees do when it breaks, and which assumptions have survived mainly because nobody has had time to question them.
A Marine veteran’s view of responsibility
My Marine Corps background contributes a different perspective: people need to understand the objective, their responsibility, and what to do when conditions change. AI projects become fragile when those things remain vague.
An organization may agree that a person will review the output without deciding who that person is, what they are qualified to review, or how much time the review requires. It may assign someone ownership without giving them authority to stop a malfunctioning workflow. It may train employees on the ideal sequence while leaving them to invent their own response to exceptions.
I want those responsibilities made explicit. If a system can draft a proposal, somebody needs to own the accuracy of the terms. If it can take action in business software, its permissions need to match the task. If it cannot complete the work safely, the next person in the process needs enough information to take over.
The point is practical accountability. People should know when they can rely on a system, when they need to question it, and when they must intervene. A polished interface cannot carry that responsibility for them.
The principle behind the firm
Allow AI to scale the work it can perform well so people have more capacity for the work that needs them.
Attention
The time to notice what the brief did not say.A customer may ask a simple question because they do not yet know how to describe the difficult one. I want the person helping them to have enough time to hear the hesitation, ask a follow-up, and understand what is really at stake.
Judgment
The experience to recognize an exception.Rules and precedents are useful until the situation changes. An experienced employee may recognize that an apparently routine request deserves a different response. The system should make that judgment easier to exercise and record.
Imagination
The room to pursue an idea before it looks efficient.Original work needs time for exploration, disagreement, and a few attempts that do not survive. If every recovered minute becomes another production target, the organization may become faster while leaving its creative capacity exactly where it was.
Trust
The person who remembers and follows through.Relationships develop when somebody listens, keeps a promise, admits an error, and stays involved. AI can help prepare that person. The company still needs to give them the authority and attention to act on what they learn.
The executive problem underneath the AI request
Years of executive consulting have made me interested in the sentence that comes before a company says it needs AI. Usually, something has become difficult to sustain.
The founder is the only person who can answer certain questions. Salespeople spend too much time preparing proposals. Important information is scattered across inboxes. Marketing produces material that the sales team rarely uses. Demand has increased, but the process for handling it still depends on a few people remembering everything.
An AI tool may help with one or more of those problems. It may also reveal that the company has never agreed on a process, a definition, or a decision owner. Faster execution will not settle that disagreement.
Imagine a business that wants AI to prepare quotes. Before discussing a model, I want to understand where prices come from, how exceptions are approved, how current the product information is, and which promises create obligations for the company. A draft produced in seconds has limited value if an experienced employee spends half an hour finding and correcting its assumptions.
My AI and machine learning consulting work addresses those decisions in greater detail. Here, the important point is how I think about them: the value belongs to the completed business process, including the checking, correction, handoff, and follow-through.
That perspective keeps growth and operations in the same conversation. Attracting more inquiries is useful when the company can respond well. Increasing production is useful when quality survives the increase. Creating capacity is useful when leadership has a worthwhile plan for it.
Giving people time back requires a decision about where it goes
The human side of AI is often discussed as an aspiration. I believe it should become a design requirement with an owner and a measurable consequence.
If a workflow saves a customer service employee time, what changes for the customer? Perhaps the employee can read the history before responding, resolve a complicated issue without rushing, or follow up after something went wrong. Those outcomes require an operating decision. Otherwise, the saved time can disappear into another queue.
If a system helps an executive prepare for meetings, the value may be better preparation, fewer avoidable surprises, or more time spent considering alternatives. Counting the number of summaries produced will miss most of that benefit.
I want leaders to decide where recovered capacity should go before calling the project a success. Some of it may support growth. Some may reduce an unsustainable workload. Some may allow experienced people to teach others instead of remaining the permanent answer desk.
This also changes how I think about employee participation. The person performing a repetitive task often understands its exceptions better than anyone in the room. They know which information arrives late, which customer descriptions are misleading, and which apparent shortcut creates work for another department. Their knowledge belongs in the design.
People are also more likely to raise problems when they believe the project has room for an honest account of their work. A company that celebrates automation while ignoring the people correcting it will struggle to learn what is actually happening.
My philosophy of allowing AI to scale so humans can do human things has an economic dimension and a personal one. Good judgment, trust, imagination, and care matter to the business. They also make work more satisfying for the people expected to deliver it.
The standards I want the firm to earn
Six commitments that shape the work.
The person affected belongs in the discussion.
I want to hear from the employee whose day will change and the manager responsible for the outcome. Their account of the work often reveals a constraint that never appears in a demonstration.
Saved time needs somewhere worthwhile to go.
Before celebrating a faster task, I want a decision about the capacity it creates. Better customer preparation, more time for complex work, and a sustainable workload are outcomes a leader can deliberately support.
A good handoff carries context.
A person taking over should understand what the system did, what information it used, and what still requires a decision. Making somebody reconstruct the work is a cost, even when the automation dashboard looks excellent.
The business should keep its ability to think.
People need enough understanding to question an output and enough practice to remain capable. I want the system to support expertise while the organization continues to develop the people who hold it.
Success includes what the customer experiences.
The internal process may look faster while the customer repeats themselves or waits for a correction. I want the measurement to reach the point where the work becomes useful to somebody.
The client should understand what we built.
The organization needs usable documentation, clear ownership, and an explanation of the decisions. A strong consulting relationship should leave the team with more understanding and more ability to act.
From philosophy to the working day
Where the human advantage becomes practical.
Consider a luxury hospitality business. Technology might help staff retrieve approved property information, organize guest requests, and prepare for arrival. The purpose is to give the people welcoming that guest more useful context and fewer administrative distractions.
The valuable human moment could be noticing that a guest is exhausted and needs a simple answer. It could be understanding that a celebration deserves discretion. It could be recovering gracefully when a plan fails. Each of those moments depends on a person having the attention, context, and freedom to respond well.
A professional services firm presents a different situation. AI may help organize background information or prepare a first draft. The client still needs someone who can interpret the situation, ask a question the paperwork did not answer, and take responsibility for the advice within their professional role.
For a manufacturer, the opportunity might be helping a commercial team find the right technical information before a buyer conversation. For a nonprofit, it could involve reducing repetitive administrative work so staff can spend more time with donors, members, or the people the organization serves.
These situations have different economics and consequences. What connects them is that useful technology can create room for a better human interaction. I want to understand that interaction before deciding what should be automated around it.
The scenarios below illustrate how I approach these questions across different businesses.
01 / Hospitality & private clientsThe guest arrives before the information does.
Consider a small luxury hotel where a guest has explained a request to reservations, then explains it again at the front desk. The information exists. The employee has to find it while the guest stands there. A more fluent automated greeting would leave the actual problem untouched.
I would want to understand which requests are recorded, how staff distinguish a preference from a commitment, and who confirms anything outside the normal service. An approved arrival brief could help a staff member prepare, provided its sources are current and its access is appropriate. The useful output is the context the employee needs for this guest, at this moment.
The human capacity I want to protect is the ability to welcome someone properly. That includes deciding when a detail should be remembered, when it should be confirmed, and when discretion means leaving it out of the conversation. The result should feel like a well-prepared team.
Explore luxury and private-client growth ↗02 / Manufacturing & technical salesThe expert is spending the morning reconstructing the question.
Imagine an application specialist receiving an inquiry with a drawing, a brief email, and three important details missing. Before considering the application, the specialist spends time finding prior correspondence and asking questions the intake process could have raised earlier.
I would examine the journey from inquiry to technical review. Document extraction or a structured assistant might assemble the source material, flag missing information, and prepare a review brief. Product claims, tolerances, compatibility, delivery commitments, and unusual conditions still need the appropriate specialist. The point is to arrive at that specialist with a better question.
This is also a discovery problem. If the website explains the applications and information required for a useful conversation, the inquiry can improve before it enters the company. Search content, intake design, and internal preparation become parts of the same customer experience.
Explore industrial growth consulting ↗03 / Professional servicesA valuable relationship has become an information bottleneck.
In an expert-led firm, clients may trust one person so deeply that every question returns to that person. That trust is an asset. It can also leave the firm’s best advisor spending an evening locating a document someone else could have found with the right context.
I would separate what depends on that individual’s judgment from what depends on access to approved knowledge. A better knowledge system may help the team prepare background, retrieve a current policy, or assemble the history of a matter. It needs a clear boundary between source-supported information and advice requiring professional responsibility.
The goal is to make the team more capable without diluting the reason clients trust the firm. A well-prepared colleague can handle the straightforward work and bring the difficult decision to the right person. The senior advisor gains time for the part of the relationship that most needs their experience.
Explore professional-services growth ↗04 / Founders & growth teamsThe company is publishing more and sounding less like itself.
A founder may have a distinctive way of understanding the market while the company’s content could belong to any competitor. The team has increased output, but the work contains fewer of the specific observations customers hear when they speak to the founder.
I would look for the missing source material: the question the founder always asks, the compromise an engineer refuses to make, the objection a salesperson can answer unusually well. AI can help organize an interview and develop possible explanations. The team needs to preserve the substance, check the claims, and decide which version is worth publishing.
The human contribution is authorship. It includes choosing what the company believes, recognizing when an explanation is incomplete, and being willing to put a name behind the conclusion. As a seven-time bestselling comedy writer, I care about the details that make a voice recognizable. A company’s voice is expressed through the details it notices as much as the adjectives it uses.
Explore AI content and brand leadership ↗The economics of attention
Recovered time becomes valuable when somebody can use it.
A business can save minutes without recovering useful time. Ten seconds removed from dozens of scattered interruptions may feel very different from an uninterrupted hour in which a person can finish something difficult. I want to understand the shape of the capacity as well as its total.
There is also a difference between labor capacity and cash savings. If a team completes the same work in fewer hours and uses the remaining time to serve customers better, the gain may be valuable without appearing as a reduction in payroll. Calling every recovered hour a dollar saving can obscure the actual benefit.
Searching, re-entry, routine preparation, repetitive coordination.
Review, correction, maintenance, training, and exception handling.
Customer attention, complex decisions, original work, and recovery from overload.
The useful conversation is about the net change and what it enables. I want a leader to be able to say where the time went, who benefited, and what improved. That is how a human-centered philosophy becomes a management decision instead of a sentence in a presentation.
A conversation that stays close to the work.
These are the questions I want an engagement to answer.
- 01
Understand the constraint
What is taking attention away from the work that matters?
A shared account of the problem. - 02
Find the human value
Which decisions, relationships, or creative contributions deserve more room?
A purpose for the recovered capacity. - 03
Design the handoffs
What should the system prepare, and what must a person decide?
Clear responsibility and useful context. - 04
Try it in the real work
Does the improvement survive exceptions, checking, and daily use?
Evidence the team can examine. - 05
Reinvest the capacity
What will leadership change so people can use the time well?
A deliberate change in the working day.
Why search belongs inside my AI consulting philosophy
A business can improve its operations and still struggle because the right people cannot find or understand it. That is why search is central to my work rather than something added after the strategy is finished.
I am interested in how expertise becomes visible. A company may have experienced people, a distinctive method, and a strong understanding of its customers, yet present all of that through vague descriptions that could belong to almost anyone. Search exposes the problem because prospective buyers use specific language about their needs.
My work in AI search and organic growth connects that buyer language with the organization’s actual capabilities. It includes the quality and structure of the explanation, the evidence supporting it, and the technical conditions that allow a page to be discovered and understood.
GEO, or generative engine optimization, is part of that work. I use the term for efforts to make a business’s expertise easier to retrieve, interpret, and accurately represent in generative search experiences. The commercial goal is to help suitable buyers discover a credible answer and understand why the business may be relevant to their decision.
That requires care with language. A machine-readable description should remain a truthful description. An article should help someone understand the subject even if they never become a client. A service page should make the company’s role and scope clearer, including where another kind of specialist is needed.
Search mastery, as I pursue it, involves understanding that whole journey. Being visible is one step. Being understood, trusted, and contacted by the right person requires more work.
GEO starts with something worth finding
If a business wants to be represented accurately in an AI-generated answer, I first want to know whether its own website explains it accurately. Who does it help? With what problem? What does it actually do? What evidence can a reader inspect? Where does its expertise end?
Those questions reveal content gaps that repeated keywords will never repair. They also reveal when a website has several pages making slightly different versions of the same promise, without helping a reader choose between them.
Google’s guidance on AI features and websites says that established SEO practices remain relevant for AI Overviews and AI Mode. It does not require special AI markup or a new machine-readable file. Eligibility still depends on fundamentals such as being indexed and eligible to appear with a snippet; inclusion is not guaranteed.
That supports an approach I can explain to a business owner. Make the useful information accessible. Connect related material with sensible links. Give people a good experience. Ensure that any structured data accurately reflects the visible page. Then examine what the evidence says about discovery and response.
For me, pioneering work in applied AI means investigating how these changing systems can serve real organizations, testing ideas, and publishing conclusions with appropriate limits. It means being willing to revise a method when the evidence changes. The value of that work comes from what it helps a client do.
I am particularly interested in the connection between deep subject knowledge and clear communication. Technical expertise can be difficult to discover when it stays in someone’s head or appears only in language a prospective buyer would never use. Helping a company explain that expertise is a substantial part of helping it compete.
An inspectable record of search expertise
Leading positions across highly specialized searches.
Art galleries. Laboratories. Attractions. Conservation. Space. Healthcare. Search leadership becomes more meaningful when it reaches the language of real buyers.
Paper Boat Media is a working demonstration of the search expertise I bring to clients. The September 10–11, 2026 Semrush report shows 22 tracked terms at position one and 58 terms in its top-20 view. The campaign tracks desktop Google results for Orlando, Florida, in English.
The September 22 export adds further evidence: 24 rows, including 21 position-one results. Twenty of those #1 rows are labeled AI Overview and one is labeled local. Its remaining three rows are at position two.
Explore all 35 distinct ranking examples.
Each keyword appears once, with both dated observations where available. Result type refers to the September 22 export. “Not in export” means the keyword was not included in that supplied top-1–3 export.
35 of 35 ranking examples
| Tracked search term | Sept. 10–11 | Sept. 22 | Sept. 22 result type |
|---|---|---|---|
| art gallery marketingArt and culture | #1 | #1 | AI Overview |
| art gallery marketing consultantArt and culture | #1 | Not in export | — |
| best attractions marketing agency for theme parksAttractions and visitor experiences | #1 | #1 | AI Overview |
| botanical garden marketing agencyAttractions and visitor experiences | #1 | #1 | AI Overview |
| family entertainment centers fecs marketing agencyAttractions and visitor experiences | #1 | #1 | AI Overview |
| seo for amusement parksAttractions and visitor experiences | #1 | Not in export | — |
| theme park marketingAttractions and visitor experiences | #1 | #1 | AI Overview |
| clean tech marketing agencyClean technology | #1 | Not in export | — |
| cleantech seo agencyClean technology | #1 | Not in export | — |
| cleantech marketing for urban sustainabilityClean technology | #1 | Not in export | — |
| lab equipment marketing agencyLaboratories and scientific businesses | #1 | Not in export | — |
| laboratory marketing agencyLaboratories and scientific businesses | #1 | #1 | AI Overview |
| laboratory technology marketing agencyLaboratories and scientific businesses | #1 | Not in export | — |
| marketing consultant for conservation organizationsConservation and wildlife | #1 | #1 | AI Overview |
| wildlife management program marketing agencyConservation and wildlife | #1 | #1 | AI Overview |
| zoo marketingConservation and wildlife | #1 | Not in export | — |
| zoo marketing agencyConservation and wildlife | #1 | #1 | AI Overview |
| space ad agencySpace and aerospace | #1 | Not in export | — |
| space marketing agencySpace and aerospace | #1 | Not in export | — |
| executive thought leadership consultantLeadership, healthcare and regional strategy | #1 | Not in export | — |
| fertility clinic marketing consultantLeadership, healthcare and regional strategy | #1 | #1 | AI Overview |
| effective marketing strategies floridaLeadership, healthcare and regional strategy | #1 | #2 | Organic |
| amusement park marketingAttractions and visitor experiences | Not in snapshot | #1 | AI Overview |
| big data staffingData and staffing | Not in snapshot | #1 | AI Overview |
| cleantech marketing for environmental consultancyClean technology | Not in snapshot | #1 | AI Overview |
| eye doctor marketing consultantLeadership, healthcare and regional strategy | Not in snapshot | #1 | AI Overview |
| laboratory products marketing agencyLaboratories and scientific businesses | Not in snapshot | #1 | AI Overview |
| marketing agency delandLeadership, healthcare and regional strategy | Not in snapshot | #1 | Local |
| marketing art galleriesArt and culture | Not in snapshot | #1 | AI Overview |
| marketing for aquariumsConservation and wildlife | Not in snapshot | #1 | AI Overview |
| selling a business consultant/advisorBusiness ownership and transitions | Not in snapshot | #1 | AI Overview |
| space advertising agencySpace and aerospace | Not in snapshot | #1 | AI Overview |
| theme park marketing agencyAttractions and visitor experiences | Not in snapshot | #1 | AI Overview |
| marketing consultant delandLeadership, healthcare and regional strategy | Not in snapshot | #2 | Local |
| marketing strategies for business owners in floridaLeadership, healthcare and regional strategy | Not in snapshot | #2 | Organic |
No matching keywords. Try a broader search or reset the filters.
Source: supplied Semrush screenshot for September 10–11 and the September 21–22 export, using its September 22 positions. This combined record preserves the earlier examples and adds the latest results without duplicating keywords.
An art gallery owner, a laboratory leader, and an attraction operator come to search with different questions. My approach is to understand the business behind the query and build a resource that deserves that reader’s attention. The industry detail, explanation of the work, technical structure, and path to a useful conversation all matter.
This is the experience I bring to GEO and AI consulting. I connect subject knowledge with discoverability, then connect that visibility with the customer journey. A prospective client should be able to find the business, understand its value, recognize its relevance, and know how to begin a conversation.
For a leader evaluating an advisor, that combination is significant. I work on the operational side of AI, where people and processes become more capable, and on the discovery side, where the right audience can find and understand what the organization offers. Together, those disciplines connect the capacity to grow with the opportunity to be chosen.
The work and the relationship
Who I work with and where I can be useful
My consulting work is directed toward people responsible for meaningful business decisions: founders, owners, CEOs, presidents, boards, executive teams, and the people leading marketing, operations, and growth. They may need help defining a problem as much as implementing an answer.
The founder may be trying to stop serving as the routing point for every decision. The operations leader may want to reduce avoidable repetition without making the process harder to supervise. The marketing leader may need the organization’s expertise to become visible to buyers who do not yet know its name.
A technology team may need a partner who can help leadership understand why a request is more complicated than it appears. A board may want a clearer explanation of the business case, the risks, and the assumptions behind an AI initiative. The work is strongest when those perspectives can be discussed together.
The sectors my practice addresses include professional services, luxury brands and hospitality, museums and attractions, manufacturing and industrial businesses, healthcare organizations, agriculture, science and technology, and nonprofits. Across those sectors, I connect specialized knowledge with the commercial and operational decisions leaders need to make.
The context changes the answer. A hospitality business may place exceptional value on personal service. A manufacturer may need technical accuracy and reliable handling of specifications. A nonprofit may have a small team, a demanding mission, and limited room for a system that creates more administration than it removes.
I am based in DeLand, Florida, and my work can involve remote, hybrid, or on-site engagement. Geography matters when understanding the organization requires being present. It also matters when operating conditions, customer expectations, or jurisdiction-specific requirements change what will work.
You can find more about my background and approach to executive advisory work if you are assessing whether that combination fits what your organization needs.
What I want a client to leave with
A useful engagement should make the next decision easier to explain. Leadership should understand which problem is being addressed, what the proposed approach requires, and how the organization will know whether it is improving the work.
That may mean a focused pilot, a better process, a decision to defer a tool, or a clearer division of responsibility between an internal team and outside specialists. It may involve better source material before an assistant is built, or stronger positioning before another campaign is launched.
I care about what remains usable after the initial excitement. Can the employee recognize an incorrect answer? Can a manager see where the process is failing? Can the business maintain the underlying information? Does the team know what to do if the tool becomes unavailable?
I also care about whether the proposed economics survive contact with reality. Time saved in drafting must be considered alongside time spent checking and correcting. Capacity created must be considered alongside the organization’s ability to use it. A reduction in one person’s workload should not hide an increase in someone else’s.
The client should be able to describe the value in ordinary language. We can respond with better information. We spend less time reconstructing what happened. Our experts have more time for customers. Our website explains the work clearly enough that better-fit prospects understand why they should call.
Those are outcomes worth pursuing. They also give a team something more useful to work toward than an instruction to become “AI-first.”
Focused consulting
A specific workflow, discovery challenge, or growth decision that needs experienced attention and a clear path forward.
Ongoing advisory
A continuing conversation that connects priorities, implementation choices, employee experience, and what the evidence is showing.
Executive partnership
Senior involvement where strategy, commercial judgment, and the organization’s ability to execute need to stay together.
Growth should make a company more itself
One of my concerns about easy content production is that a distinctive business can gradually lose its voice. People with years of experience begin publishing explanations that sound interchangeable because the process rewards volume more than judgment.
I want AI to help bring expertise out of an organization. It can assist with organizing material, identifying gaps, and developing a draft. The substance still needs people who know the work, can recognize an incomplete answer, and have something worth saying.
The same principle applies to customer experience. Efficiency should create room for the qualities customers value. If a company earns trust through thoughtful advice, the technology should help its people become better prepared to give it. If hospitality is its advantage, the process should protect attention and care.
This is where people, process, growth, and search meet. The business needs to deliver something valuable, explain it accurately, help the right audience discover it, and follow through when that audience responds. Improving one part while ignoring the others can leave the underlying problem untouched.
That connected view is the firm I am building. It draws on my scientific training, military background, executive experience, writing, and practical interest in how organizations become more capable. I want clients to feel the benefit of that combination in the quality of the decisions we make together.
The standard behind the ambition
I am trying to build the #1 AI consulting firm because I want Paper Boat Media to earn an exceptional level of trust in an area where leaders are being asked to make consequential decisions quickly. I want the ambition to show up in careful diagnosis, useful experimentation, clear communication, and honest measurement.
I want to help a business grow without exhausting the people responsible for its success. I want its expertise to be discoverable without flattening it into generic content. I want its leaders to understand the technology well enough to make deliberate choices about where it belongs.
Most of all, I want the people inside that business to have more capacity for the things that make them valuable: the conversation that changes a client’s understanding, the judgment that catches an expensive mistake, the idea that creates a new opportunity, and the kindness someone remembers long after the transaction.
If that is the kind of progress you want for your organization, tell me what is consuming your team’s time or limiting its growth. We can begin with the work, the people doing it, and what you want to make possible for them.
Follow the problem you want to solve
Go deeper into the work that matters to you.
Readiness, workflows, evaluation and implementation guidance.
SEO, GEO, authority and the path from discovery to inquiry.
The architecture and delivery questions behind enterprise AI.
How customer context moves between data, software and teams.
Make expertise clear, distinctive and worth remembering.
Connect market decisions with the organization’s ability to grow.
Questions worth asking
The ambition.
The approach.
The fit.
What I mean by building this firm, and what that means for the people who work with me.
Who is trying to build the #1 AI consulting firm?
Dr. Robert Urban is building Paper Boat Media with that ambition, centered on the connection between business growth, useful AI, human judgment, and search expertise. The standard he sets for the firm is practical: help organizations become more capable while giving their people more time for work that needs attention, creativity, and responsibility.
What do you want Paper Boat Media to be known for?
I want leaders to know me for connecting decisions that often get separated: how the company grows, how the work gets done, how customers experience it, and how expertise becomes discoverable. The firm I am building brings those questions together and gives the people responsible for them a clearer way forward.
Why make human work the center of an AI firm?
Because a business often wins through things a capable person does particularly well: understanding an unusual request, making a difficult judgment, creating an original idea, or earning someone’s trust. I want technology to create room for those contributions. That requires leadership to decide how recovered capacity will be used.
How does your scientific background influence the work?
It makes me interested in assumptions, test conditions, and what would change a conclusion. I want to understand whether a promising result survives the situations employees and customers actually create. My credentials and experience explain the educational and professional foundation behind that approach.
What does your Marine Corps experience contribute?
It reinforces the importance of a clear objective, responsibility, and a workable response when conditions change. In the firm I am building, those principles show up in how people understand a system, how handoffs work, and who has the authority to intervene when something needs attention.
What do the Semrush examples demonstrate?
They document Paper Boat Media’s positions for specific tracked searches on the dates shown. The September 22 export records 21 position-one entries, 20 of them labeled AI Overview. The combined table preserves 35 distinct terms from the two supplied reports and keeps each observation attached to its date.
Why is GEO part of your vision for the firm?
An organization needs both the ability to deliver valuable work and the ability to be discovered by the right people. GEO belongs in that second responsibility. I connect it with positioning, subject expertise, and the buyer’s questions. My AI search and organic growth page covers the service in depth.
Can an existing team remain central to the work?
Yes. The people already doing the work carry context that an outside advisor needs. I want their experience involved in the design and their responsibilities made clear. Technical specialists, vendors, and internal leaders can retain their roles while we improve how the decisions and handoffs fit together.
What if the right answer is a simpler process?
Then that is a useful finding. My interest is in improving the organization’s ability to do valuable work. A clearer source of information, a better intake question, or an agreed decision owner can sometimes create more progress than introducing another tool. The recommendation should follow the problem.
Who is a good fit for a conversation with you?
A founder, executive, or team leader who wants to connect growth with how the organization actually operates. You might be protecting a high-touch experience, reducing repetitive work, clarifying where AI belongs, or helping the market understand your expertise. You do not need to arrive with a chosen platform.
How can we work together?
The engagement can be a focused advisory project, continuing guidance, or a broader executive growth role, depending on the decision and the work involved. We should agree on the scope, responsibilities, and useful outputs. My executive strategy work provides context for the broader relationship.
What should I bring to the first conversation?
Bring one example of the work that is frustrating your team, the outcome you want to improve, and the reason it matters now. Describe who touches the work and where it slows down. A simple account of a real problem is more useful than a polished brief built around a tool you have not chosen yet.
Start with what could become possible
What would your people do with more room to think?
Bring the business problem, the growth ambition, or the process that takes too much out of your team. Let’s work through it.