Ted TschoppThe enterprise examples in this post are hypothetical.
Imagine being ready to sell something to a large company and discovering that the hardest part is figuring out how to begin.
Procurement sends one set of instructions. Legal sends another. Cybersecurity has a questionnaire. Accounts payable needs information that appears to overlap with something already submitted. Each document makes sense to the department that wrote it.
The supplier still cannot tell what happens next.
Inside this hypothetical Fortune 500 enterprise, everyone has done their part. Outside it, someone has to reconstruct the organization before they can do business with it.
That process has authors. Someone chose the questions, the sequence, the systems, and the handoffs. Those decisions were made under particular conditions, with particular tools and assumptions. Over time, they became familiar enough to feel permanent.
But they can be examined. They can be understood. They can be changed.
That realization is where making begins.
A spectator can recognize the problem, discuss it, attend a demonstration, and leave with an informed opinion. A maker accepts responsibility for carrying an improvement into the world.
These are ways of participating. The same person moves between them. Watching is useful. Reading, listening, and studying other people’s work are essential. The worker becomes the spectator when observation repeatedly replaces the difficult work of choosing, attempting, refining, and finishing.
As enterprises prepare for 2027, AI gives people more ways to explore an idea and make a first attempt. A process analyst can demonstrate an alternative. An operations team can examine a reporting problem. A small group can carry work that previously depended on several separate teams.
That creates a practical question: what will people do with the additional capacity?
A company can become very good at generating possibilities. It can fill its calendar with demonstrations and its planning system with promising initiatives. The work becomes consequential when someone chooses a particular result and stays with it long enough for another person to benefit.
Five skills help make that movement possible: taste, agency, focus, resourcefulness, and follow-through. Each shapes how a person sees the world. Each also shapes what that person leaves in it.
Taste: Expose Yourself to the Best of Humanity
Taste develops through exposure to the best of humanity, across cultures, disciplines, and experiences. You encounter excellent work, give it close attention, and let it change your standards. Don’t let these best practices be merely admired. Don’t let people say that won’t work where you work. All too often you hear people say, “In theory … but in practice … So we don’t do that.” These are the voices of the spectator, the critic, and the cautious.
The attitude you need requires you to see a world larger than your immediate professional surroundings, it requires a sense of humility and a willingness to be wrong and to admit you can and should learn from others. This is the first step in developing strong taste.
So, go study a well-designed building. Read carefully edited prose. Listen to music closely enough to notice its pacing and restraint. Examine a useful tool, a thoughtful service, or a piece of craftsmanship. Look at work from another place or another period. Stay with something unfamiliar long enough to understand what makes it good.
What decisions are hidden inside it? How does it guide attention? What has been removed? What does it make easier for the person encountering it?
Those questions turn admiration into material you can use.
A person early in a career can develop strong taste in a particular area through curiosity, attention, and experimentation. Years of experience become valuable when they are examined and absorbed. Simply accumulating them does not guarantee a better judgment.
Now return to our struggling supplier.
The onboarding team could begin by rearranging the existing documents. It could also look outside the company for better ways to help a person navigate unfamiliar information.
A clear museum exhibit has to introduce a complex scientific subject without demanding that every visitor arrive as an expert. Public wayfinding has to help someone choose a route while standing in an unfamiliar place they have never been to. A library has to make a large collection discoverable to someone who doesn’t quite know what they need. Thoughtful hospitality anticipates the uncertainty of someone entering a setting they do not yet understand.
These encounters suggest useful questions for the enterprise. Can a supplier recognize their situation? Can they see the sequence? Is the next action obvious? Does specialized language appear with enough explanation to be useful?
The team builds an onboarding experience around those questions. Procurement, legal, cybersecurity, and finance still have responsibilities. The supplier receives a coherent path through them.
Then someone tries it.
A new supplier understands the explanations but cannot tell which requirements apply to a service provider working at a company location. A site purchasing coordinator notices that the proposed sequence does not match how purchasing actually proceeds.
The team revises the experience.
Exposure to excellent work in other domains provides standard of what good work looks like. Contact with actual people reveals where those standards need to be applied. Taste becomes more precise through both.
For leaders, this means giving informed judgment room to become work. Someone close to a frustrating process may see distinctions that a planning meeting misses. Let that person demonstrate an alternative. Encourage references from outside the enterprise. Examine the care and clarity of the resulting experience.
An internal service deserves this attention. It shapes how people spend their working lives.
How AI Helps With Taste
The onboarding team uses AI to explore different information structures, draft explanations, and identify inconsistencies. It can compare several ways of presenting the same process and examine what each emphasizes.
The team might ask for a version organized around departments, another around supplier situations, and another around the sequence of decisions. Comparing them makes assumptions visible.
Members judge those alternatives against their understanding of excellent work and the needs of suppliers. They continue examining work beyond their professional field and observing people using the process.
AI supplies more material to consider. The people making the experience remain responsible for its judgment, coherence, and care.
Agency: Recognize That the Enterprise Is Malleable
Agency begins with a simple realization: much of the environment around you was built by people no smarter than you.
You can learn how it works. You can influence its shape. You can build things other people use.
An enterprise’s scale can make this difficult to remember. A workflow arrives with a system name, an owner, a history, and several dependencies. It feels established. But inside it are choices about what should happen, who should act, and what information should be available.
Understanding those choices and empathising with the people who wrote it, makes useful change possible.
Consider another part of the same hypothetical company. Field supervisors receive a maintenance status report every Friday. Someone assembles it manually from information that becomes available throughout the week. The supervisors then send it to leadership by the end of the day.
An operations analyst asks why do I need to do this on Friday? The answer leads back to an older process for collecting updates in order to allow leadership to review the information on Monday morning before making decisions at a standing meeting that is now on a Wednesday. The schedule for the report survived even though the consumers of the reports no longer followed the same timeline.
The analyst works with supervisors and the system owner to demonstrate a shared view that reflects the available information more promptly. An inherited reporting schedule becomes a design question.
The first version ranks maintenance work orders by age.
The supervisors explain that age alone does not identify the work needing attention. Their concern is work scheduled for the coming week that lacks a necessary part, an available crew, or a confirmed access window.
The first attempt is imperfect. It is also useful. It gives people something concrete to examine and helps them articulate knowledge they had struggled to explain in an abstract requirements discussion.
The analyst revises the view around readiness for scheduled work.
Building has clarified the plan.
This is an important consequence of agency. You do not have to understand every step before taking the first useful one. Some understanding becomes available through the attempt itself.
A team can spend a long time agreeing that its reporting is inadequate. It can gather resources, discuss possibilities, and wait for a operational improvement program to be launched. Agency appears when someone maps the process, examines the available information, and makes an alternative that can be tested.
The result may also change the maker’s ambition. A reporting improvement could reveal a problem in the handoff between planning and field teams. The next attempt begins with a better understanding of the people, systems, and decisions involved.
The environment becomes more understandable as it becomes open to informed influence.
Over time this approach can lead to a culture where informed influence is expected and valued, making the organization more adaptive and responsive to change.
How AI Helps With Agency
The analyst uses AI to turn process notes and system documentation into a draft explanation of how reporting works. That explanation helps identify assumptions to examine with supervisors and the system owner.
AI can help develop alternative report structures and a first version people can react to. As supervisors clarify what matters, the analyst uses it to revise the proposal and organize unanswered questions.
An unfamiliar technical step becomes something to investigate. The analyst can ask for an explanation, examine it against the underlying information, and bring a better question to the person with the relevant expertise.
The maker chooses the change to pursue, tests the understanding with the people involved, and takes responsibility for moving the work forward.
Focus: Say No to Good Ideas So You Can Say Yes Clearly
Focus means saying no to a hundred good ideas and clearing your mind and commitments so you can say yes to the one thing that matters most.
The difficulty is that those other ideas may be worthwhile.
A diverse world supplies possibilities. Taste makes more of them visible. Resourcefulness gives you additional ways to pursue them. Eventually, you have to decide which possibility deserves the work that comes after its exciting beginning.
Return to procurement. The leadership team has several credible proposals: AI-assisted contract summaries, supplier performance dashboards, better purchasing search, improved supplier onboarding, and automated responses to routine questions.
Each has a plausible benefit. Each has an interested sponsor. Each could consume the attention of capable people.
The team chooses to improve the path from a supplier’s initial application to readiness for a first purchase and payment. It defers the other ideas and gives that outcome a clear owner, a small team, and sustained attention and.
Now decisions have something coherent to serve.
Does a proposed feature help a supplier complete that path? Does it help an employee resolve the next step? Does it remove confusion or create another place where the process can fragment?
Focus requires working through those questions until the answer is clear enough to guide action.
It also requires creating room to think. Conflicting commitments occupy the mind long after a meeting ends. An initiative that has supposedly been deferred can remain an obligation if nobody clearly tells its sponsor what was decided. A team can have one official priority and several unofficial ones.
Clarity in the result begins with clarity in the commitments behind it.
Imagine two teams with similar tools. One spends a month producing demonstrations across several procurement topics. Each demonstration attracts interest, and each new request creates another beginning.
The other stays with supplier onboarding. It works through departmental handoffs, brings suppliers through the revised process, and learns what still prevents completion.
Both teams are producing artifacts. The second team’s attention accumulates into a deeper understanding of one problem and a result that reaches people.
Curiosity still matters. Wide interests help makers discover worthwhile problems and useful approaches. The discipline is to keep curiosity broad while being selective about commitments.
A prototype should answer a question, improve a decision, or advance the chosen work. When it repeatedly creates another possibility, ask whether it is helping the commitment develop.
Leaders have work to do here. Make deferred ideas visible. Resolve competing requests. Support the team after the novelty fades. Review progress through the intended outcome and the decisions still required to achieve it.
A meaningful yes includes protecting the work from other attractive demands.
How AI Helps With Focus
Leadership gives AI the proposed initiatives, current commitments, and criteria that matter to the enterprise. AI helps organize proposals around intended outcomes, identify overlapping work, and summarize competing demands.
That comparison gives the team material for examining tradeoffs. It can also reveal questions that need investigation before a decision is made.
Once supplier onboarding is chosen, AI helps refine a clear scope statement and identify activities that do not advance it. When new requests appear, the team can compare them with the agreed outcome and decide whether to include or defer them.
AI helps make the choices understandable. Leadership makes those choices, communicates what will be left for later, and protects the attention required to finish.
Resourcefulness: Bring a Wide World to a Difficult Problem
Resourcefulness combines diverse experience, unconventional approaches, and the strengths of small, elite teams to find a way forward.
You cannot know in advance how every experience will matter. The connections become clear as you look back.
This gives curiosity a role beyond an immediate business case. An encounter with a craft, a culture, or an unfamiliar discipline may have little obvious relevance when it happens. Years later, a problem gives it a use.
The supplier onboarding team brings together five people: a procurement specialist, a service designer, an integration engineer, an accounts payable analyst, and a site purchasing coordinator. It draws on legal, cybersecurity, and other process owners when their expertise or decisions are needed.
Each person understands something the others need.
The designer previously studied museum exhibits knows how difficult it can be to introduce unfamiliar information. The site coordinator once managed event logistics and recognizes how an unclear handoff can disrupt an otherwise thoughtful sequence. The engineer has worked on incident response and knows how unresolved ownership can hide inside a queue.
Those experiences were not acquired as preparation for supplier onboarding. Their relevance emerges through the work.
The group also shares demanding standards. Members can challenge assumptions, revise their own thinking, and contribute strong craft. “Elite” describes the quality of their judgment, learning, and commitment.
A small team becomes capable through the combination of its members and access to the people whose participation the problem requires.
At first, this team assumes that the onboarding experience will require a substantial new platform. As it examines the process, it finds useful capabilities already present in existing systems. It also finds redundant requests, confusing explanations, and handoffs that can be redesigned.
The solution becomes a combination of clearer information, revised responsibilities, and better use of existing capabilities.
The outcome the team is working on stays the same. The path they take to reach it changes.
Resourcefulness depends on being able to make that adjustment. The maker cares enough about the purpose to reconsider how it should be achieved.
Learning continues near the point of need. The procurement specialist learns enough about information design to evaluate the experience. The engineer learns why particular payment requirements matter. The designer learns how purchasing differs between business units.
Each explanation has a concrete use. It serves a problem the team cares about.
Finishing the work adds another set of experiences. Looking back, members can see which earlier ideas mattered, where a colleague’s perspective changed the result, and what they are better prepared to attempt next. This reflection can only be done after the product is shippped. It is an essential part of developing the team.
For leaders, the useful question is how people behave when they reach unfamiliar territory. Do they find a useful question? Reframe the problem? Seek help? Return with another informed attempt?
Give small teams access to the expertise and decisions their work requires. Let them question the expected route while keeping the purpose clear.
How AI Helps With Resourcefulness
The team uses AI to explain specialist terms and compare how departments describe the same process. This can make it easier for members to understand one another’s concerns.
They can explore possible connections between information design, logistics, incident response, and supplier onboarding. AI helps generate candidate approaches using the capabilities and constraints the team has identified.
When an unfamiliar technical or procedural problem appears, AI helps explain it and prepare useful questions for the relevant expert.
It can also support reflection. After a delivery milestone, the team uses AI to organize decisions and feedback, then examines how earlier experiences contributed to the result.
The people supply lived experience, judge the proposed connections, and choose the route that serves the purpose.
Follow-Through: Do the Work and Ship It
Great ideas are cheap. Follow-through is the passion and discipline to do the grueling work that turns an idea into something excellent, finished, and usable.
An idea can be compelling before any of its difficult details have been resolved. A demonstration can make the result look close.
Then the details arrive.
Information does not reach the right system. A person does not know who owns an exception. A sequence works for one business unit and becomes confusing in another. An explanation has to be rewritten. Someone has to prepare the people who will operate the service.
Given all these challenges, it will be tempting to move the goal posts and to cut corners. With each adjustment, the team risks undermining the very experience it is trying to create. Discipline and commitment are required to maintain the integrity of the work through these difficulties.
Passion matters at this point because it gives the work a reason to continue through this period. Care has to survive the loss of novelty and the temptation to settle for something short of a bullseye.
The supplier onboarding team demonstrates a clear, attractive experience. During the pilot, suppliers complete the intake successfully. But some information does not reach the purchasing system correctly. Site buyers remain uncertain about who handles exceptions. Accounts payable discovers that a completed intake does not always provide everything needed to prepare for the first payment.
The team stays involved. Just because the project is “over” in the sense of the initial rollout does not mean the work is complete.
It corrects the information handoffs, clarifies responsibility, revises instructions around the purchasing sequence, prepares employees to use the process, and establishes continuing ownership.
These tasks determine whether the experience holds together. They are part of making the idea real.
This is what Steve Jobs meant when he said: “Real artists ship.”
Shipping requires bringing work to a condition where its intended recipients can use or experience it. It requires decisions about what belongs, resolution of important problems, and completion of the path into use.
There are layers to that completion. The work has to exist. Its details have to meet the intended standard. It has to reach people in their actual circumstances. It has to fulfill its purpose. Someone has to carry responsibility for its future. The user has to be able to engage with it successfully to achieve their intended outcome.
A maker follows the work through those layers. A spectator does their small bit, and throws the work over the fence.
For the supplier, success means understanding what is needed and being able to complete the process. For the site buyer, it means knowing the status, the next action, and who can resolve a problem. For procurement and finance, it means receiving the information necessary to carry out their responsibilities.
The whole job exists across those relationships.
This also changes how colleagues come to trust someone. They learn whether that person remains involved after a promising beginning. Process owners see whether difficult details receive care. Recipients experience whether the work delivers what was promised.
A reputation develops through the quality and reliability of completed contributions.
How AI Helps With Follow-Through
The team uses AI to organize pilot feedback into problems involving explanations, information handoffs, responsibilities, and exceptions. It helps prepare test scenarios that follow different suppliers through the complete process.
AI can assist with revised instructions, employee training materials, and guidance for the people who will operate the service. The team compares those materials with the implemented process and looks for gaps or inconsistencies.
After release, AI helps summarize recurring questions and reported problems. That gives the team another way to identify what deserves attention.
The maker validates the work, coordinates its release, observes its use, and remains responsible for the promised result. AI helps carry the tasks. Passion and commitment keep the people engaged with the purpose.
What Will You Make?
These skills operate together. Feedback changes taste. An attempt clarifies the next action. A new possibility demands another choice. An unfamiliar problem brings someone’s earlier experience into use.
They also reveal why a promising effort can stall. Perceptive judgment can remain criticism when nobody acts. Initiative can create endless beginnings when attention is scattered. Concentration can become frustration when a team cannot find another route. Clever solutions can remain demonstrations when nobody carries them into everyday work.
The practical challenge for 2027 is to bring a wide world into a clear commitment.
That requires something from leaders as well as individuals. Give people close to problems room to demonstrate improvements. Encourage them to encounter excellent work beyond the enterprise. Assemble small groups with complementary strengths. Help them choose an outcome and reach the people whose decisions it requires.
Then stay interested during the difficult period between an impressive first version and useful adoption.
There is probably a project your organization has learned to tolerate leaving unfinished. There is a team that engaged with a step of the solution, passed it along to the next team, and then moved on. Perhaps there is a report that arrives too late, a service that makes employees understand the organization before they can get help, or a process that asks suppliers to carry its complexity.
Start there. This is the more valuable work that AI will enable us to accomplish.
Examine what excellent work could teach you. Look at the inherited decisions being treated as permanent. Decide which other good ideas must wait. Bring the right experiences and people to the problem. Ask whether the purpose matters enough to sustain the work after the excitement fades.
Then make an attempt that reveals something. Follow it into use. Let the finished contribution change your understanding of what you can attempt next.
Return to the supplier at the beginning of this post. The difference becomes visible when that person can open the instructions, recognize their situation, and know what to do next. The departments can carry out their responsibilities. The purchasing process can proceed.
Someone has given a piece of the enterprise enough thought and care to make it coherent.
Working toward that result also gives you opportunities to grow. You encounter a distinction you could not previously see. You question an arrangement you once accepted. You learn what deserves attention, whose experience can help, and what finishing actually requires.
Useful practice can also happen outside the project. Comparing interpretations of a piece of music can sharpen judgment. Learning an unfamiliar craft can teach you how to proceed when the instructions stop being sufficient. Returning to something another person has used can reveal what you overlooked when you first called it finished.
Those experiences become part of what you bring to the next attempt. Their connections may become clear only when you look back.
So choose a contribution worth making, and give your development a deliberate place in the year. Small exercises, encounters with different kinds of excellence, and repeated attention to the same piece of work can strengthen the capacity to finish it well.
What will you make in 2027? And how will you use the year to become more capable of making it?
How Will You Get Better: A Year of Practice
One way to strengthen these skills is to spend time in situations where your usual expertise provides little help.
Taste can grow through comparing performances of the same piece of music. Agency can grow through examining a household routine. Resourcefulness can grow while making something with your hands and discovering that the original plan does not work.
These activities bring different experiences into your judgment. Their usefulness may become clear much later.
Set aside a few focused hours each month. Keep a short record of what you tried, what surprised you, and which decision changed. Several months below return to the same contribution, giving the year a continuous thread of making, observing, and improving.
January: Taste Through Comparison
Choose one work and examine three interpretations: performances of the same music, translations of a poem, or productions of a scene. Include an interpretation from a tradition unfamiliar to you.
Describe the choices that make each version effective. Pay attention to pacing, emphasis, restraint, and what has been left out. Finish with a short note about one principle worth carrying into your own work.
February: Agency Through an Inherited Rule
Choose a recurring meeting, household routine, or shared process that persists because it is familiar. Find out who established it and what problem it originally solved.
With the people involved, test one small change for two weeks. Record what improved and what remained necessary. The exercise makes a human decision visible inside something that previously felt fixed.
March: Resourcefulness Through Unfamiliar Craft
Make or repair something modest using materials already available. Bind a small notebook, mend a garment, or try a craft you have never practiced.
Choose something that requires learning as you go. When the plan breaks down, investigate the next step and adapt. Record one moment when a constraint led to a better approach. That experience may become useful in an entirely different setting.
April: Focus Through Subtraction
Choose one existing commitment that deserves sustained attention. Then identify three worthwhile optional activities competing with it.
Pause or defer those activities. Write down why each is attractive and why the chosen commitment matters more right now. Protect a regular period of uninterrupted attention.
This exercises the difficult part of focus: declining something good.
May: Follow-Through for One Person
Choose one person with a small recurring problem. Make something useful for them: clearer instructions for a volunteer, a checklist for a colleague, or a simple guide for a community group.
Watch the person use it. Resolve the confusion that appears and put the revised version back into their hands. Finish the month with something another person has successfully used.
June: Taste Through Someone Else’s Eyes
Ask someone whose craft you know little about to explain how they judge quality. A musician, gardener, editor, cook, mechanic, or illustrator could provide a different way of seeing.
Ask them to compare two examples and explain the details they notice. Capture their criteria, then revisit January’s exercise. Look for distinctions you can now recognize that you previously missed.
July: Agency Through a Small Redesign
Choose part of your immediate environment that you can change: a workspace, a form you own, or the sequence of a routine.
Before changing it, describe what the current arrangement asks people to do. Build an alternative and try it for a week. Observe whether it makes the intended action easier.
Agency grows through experiencing a connection between a deliberate change and someone’s ability to act.
August: Resourcefulness Through a Small Team
Return to May’s contribution. Invite two capable people with different strengths to help improve it.
One might understand the recipient’s needs deeply. Another might bring strong writing, design, or technical craft. Give them room to reshape the work and challenge your assumptions.
Record which decisions became better because of their contributions. Practice assembling a small team whose combined judgment exceeds what you could bring alone.
September: Focus Through Editing
Write the purpose of that contribution in one sentence. Examine every feature, paragraph, and step against it.
Remove something you like that does not adequately serve the purpose. Try the simpler version with its intended user and observe what happens. Keep the change when it improves clarity or usefulness.
This develops focus at the level of the finished work. Selection becomes visible in what remains.
October: Follow-Through by Returning
Go back to the person using the contribution. Ask what they still work around, explain to others, or complete outside it.
Observe the work in its actual setting. Choose one unresolved friction and carry the improvement through to use.
Returning after several months exercises a different kind of commitment. The work has become ordinary, and the recipient’s experience still deserves attention.
November: Resourcefulness Through Hindsight
Read the notes collected during the year. Look for earlier experiences that unexpectedly influenced later decisions.
Perhaps March’s failed attempt helped you approach an unfamiliar problem. Perhaps June’s conversation changed an editing decision in September. Trace the connections through what actually happened.
AI can help organize the notes and suggest patterns to examine. Judge those patterns against your record. The exercise is to recognize connections that emerged through living and making.
December: Put the Five Skills Together
Choose one existing, unfinished commitment small enough to complete this month.
Bring your stronger standards to it. Examine an inherited assumption. Give it a clear purpose and enough attention. Seek the experience or collaborator needed for its difficult parts. Then finish it and put it into use.
Record what the intended person can now do, understand, or experience better. Let that result inform what you choose to attempt in 2028.
The useful record of this year will include encounters, changed decisions, declined possibilities, unexpected connections, and finished contributions.
By December, you should have something more concrete than a claim that your skills improved: a piece of work another person can use, and a clearer understanding of how you became capable of making it.
