The most dangerous position in business can be succeeding in a model that is starting to change. That is the tension I hear from commercial leaders working out what AI means for their teams.
I talk to commercial leaders every week who are delivering results. Revenue is up. The team is executing. Clients are happy, the board is satisfied, and the pipeline is full. And they can't sleep. Because they can feel the ground shifting under a model that's still working. They're all feeling the same thing: the definition of "ahead" is about to change permanently.
The buying side is changing too. Visa’s October 2025 Trusted Agent Protocol introduced a way for merchants to recognize AI agents acting for consumers. That is infrastructure for a developing form of commerce, not evidence that every buyer has already moved to it.
In my own work with AI tools, more of the effort has moved toward specifying the task and judging the result. That does not make production automatic. It changes where I need to apply attention.
I see a version of that shift in commercial work: design, campaigns, content, brand and sales enablement. The tools can do more of the production. Someone still has to decide what is worth producing.
Your commercial team used to be a rock band. The market just demanded an orchestra.
From Rock Band to Orchestra
Your commercial team used to be a rock band. A handful of virtuosos, each playing their instrument, producing work whose quality depended on who was in the room. That model made sense when production was the expensive part. The band was small because the instruments were scarce and the musicians were expensive.
What's happening right now is fundamentally different. The rock band is becoming a global orchestra.
An orchestra doesn't replace the musicians. It changes the nature of the performance. One conductor translates a vision into instructions precise enough for a hundred players to execute in concert. They direct the system. The system produces something no individual musician could produce on their own: music with range, nuance, and scale that fills a stadium instead of a room. The hardest part of the transition isn't learning new tools. It's letting go of the instrument.
And the orchestra isn't just louder than the rock band. It's fundamentally more capable. The benefits aren't incremental. They're structural.
An orchestra can give regional teams more room to act on what they know. A shared brand system provides rules and reusable components; local people bring customer and market judgment. That combination needs testing and review to keep quality consistent.
An orchestra can also make more variations practical to test. The purpose is to learn which approach works with real customers, rather than simply produce more versions.
What the Orchestra Sounds Like in Practice
I lived this shift across three different workflows last week, and the pattern was identical in every one.
First, design. I took an existing brand kit and used Claude Design to create campaign assets: page templates, social cards, newsletter layouts and article headers. The more useful output was a reusable set of instructions: the decisions, constraints and quality checks behind the assets. That gave me a starting point for the next workflow, with review still part of the work.
Second, production tooling. Connecting a brief with the tools that create and adapt an asset can reduce handoffs. In my workflow, the useful test is whether the result meets the intended format and brand requirements, and how much correction it needs before it is ready.
Third, commercial intelligence. I use Claude Cowork to operate answer engine analytics platforms like Searchable.com, running AI visibility analysis, content strategy, and competitive reporting. Claude Cowork navigates the platform, pulls the data, structures the analysis, and drafts the recommendations. My job isn't operating the tool. My job is knowing which questions to ask, framing the analysis precisely enough to get excellent output on the first pass, and reading the results well enough to know whether the insights are right. The specialist skill shifted from platform expertise to domain judgment.
Three workflows. One skill. Specification.
The ability to specify what good looks like with enough precision that a system can produce it. The ability to read the output and know whether it's right. The ability to encode that judgment into instructions that scale.
The Conductor's Real Job
Here's where most leaders underestimate what this shift actually demands of them.
The conductor's job isn't just to direct the performance. It's to build something upstream that makes the performance possible, and then expand what the orchestra is capable of playing downstream.
Upstream, the conductor builds the foundation. The encoded brand system, the creative specifications, the quality architecture. But the real skill is translation. Taking the judgment that lives in the heads of your best creative people, your sharpest strategists, your most experienced brand thinkers, and encoding it into language precise enough that an AI system can execute it at scale. That means going deeper than "our brand voice is bold and human." It means specifying sentence structure, visual hierarchy, content architecture, quality thresholds, edge cases, and exception handling. The foundation has to be technically precise enough for agents to follow and creatively rich enough to produce work that actually resonates.
That foundation can travel across workflows and teams. Each campaign creates an opportunity to learn what worked, where the instructions were unclear and what should change. The conductor’s job includes feeding that evidence back into the system.
And then something happens that most leaders haven't imagined yet. The orchestra starts taking ground the rock band could never reach.
When production takes less effort, a team can consider work it previously deferred: testing a market segment, exploring a service idea or giving a regional team useful materials. The opportunity is to use the capacity deliberately, including for physical experiences and conversations where they matter.
Another question is how clearly a buying system can understand your offer. Product information, evidence and terms need to be usable by the people and tools evaluating them.
This is the compounding loop that separates the orchestras from the rock bands. The rock band plays the same setlist every night. The orchestra's repertoire grows with every performance.
The Agentic Layer
Now add the dimension most leaders haven't fully processed yet.
Everything I just described assumes humans are still running the workflows. Typing the briefs. Reviewing the output. Clicking publish. That's already changing.
Agents can support a chain of tasks, but the boundaries matter: what they can change, what requires approval and how someone notices when a result is wrong.
The conductor still sets direction and quality expectations. Automation can carry selected parts of the work within those boundaries, with clear human ownership of exceptions and consequential decisions.
That makes the instructions and controls part of the operating model. Decide when work can run unattended and when a person must review it. A brand guide alone is not a substitute for those decisions.
The information your systems produce also needs to make sense to a prospective buyer. Consistency and evidence matter across the whole experience.
Where Value Migrates
Here's where the rock band model breaks permanently.
The first migration I would examine is from repeated production toward reusable foundations. Look at the actual tasks, costs and corrections in your team. That will show where a better system is worth building.
The second migration is from centralized execution to distributed capability. When the foundation is strong, the brand shows up consistently regardless of who is executing. The value of a centralized creative services team shrinks. The value of the foundation builders grows. And the value of the people closest to customers, regional teams, sales reps, market specialists, explodes, because they can finally act on what they know without waiting for HQ to produce something. Stop measuring what you produce. Start measuring the system you've built to produce it.
The New Roles
Here are four responsibilities I would make explicit. They may belong to existing people; the labels are a way to discuss the work.
01: The Foundation Engineer. Before the orchestra can play, someone has to write the score. Most organizations don't have an encoded brand system. They have a PDF style guide, a few templates, and institutional knowledge locked in people's heads. The Foundation Engineer audits what exists, interviews the people who hold the judgment, and builds the encoded system from scratch. They're the bridge between "we know what good looks like" and "the system knows what good looks like." Every other role on this list depends on this one going first.
02: The Brand Systems Architect. Translates brand judgment into operational specifications that agents can follow. Skip "our voice is warm and professional." Go deeper: sentence case, active voice, leading with the specific number before the insight, contractions always, no jargon without a grounding example. They treat the brand system as software. Version-controlled. Documented with the precision of an API. Part creative director, part systems engineer, part product manager. It doesn't exist on most org charts yet. It will.
03: The Commercial Conductor. The senior leader, the CMO, the VP of Commercial, who operates the orchestra. They don't produce. They direct. They set the strategic foundation, define what the brand should mean in each market, establish the quality thresholds, and read the data the system generates to adjust course. The conductor's value isn't in how well they play. It's in how well they hear, how quickly they can read what the market is telling them and translate that into updated direction for the system.
04: The Signal Architect. Someone needs to connect customer evidence with the brief: cultural signals, research, market results and the team’s direct experience. Platforms such as Nichefire can contribute cultural intelligence. The judgment is deciding which signal is relevant to the decision in front of you.
Develop these responsibilities around the people who understand your customers and your work. Technical fluency helps, but so do creative judgment, domain experience and the ability to evaluate a result.
For a commercial leader, the operating question is where your people add the most value. Use production tools to create room for better judgment, clearer briefs and more useful learning. Measure the result against the work you were doing before.
What to do this week.
Have one conversation with your commercial leadership team. Ask a simple question: of everything your team worked on last week, how much was production and how much was foundation?
Production. Someone turned a direction into an asset: a campaign, a deck, an article or a message. Ask which parts could be supported by AI and what review would still be required.
Foundation. Someone defined what good looks like, documented a useful rule, developed customer insight or used results to improve the next brief.
Do a small sample of last week’s work. Put the actual tasks in those two columns. The balance will differ by team; the useful part is seeing it clearly.
Then choose one repeated production task where better instructions could reduce effort without lowering quality. Give the time you recover a purpose.
That is how I would start the change: one workflow, a clear comparison and a foundation that gets better with use.
Now look at that ratio again. That's the gap between a rock band and an orchestra. Both make music. One fills a room. The other fills a stadium. And the stadium is where your market is heading.
From the portfolio
The exercise gives you a more specific conversation about your commercial model: which work could change, what your team knows and what it would take to build the supporting system.
01: Board of Innovation. When the exercise shows your commercial team is still organized around production instead of foundation. You just mapped the gap between production and foundation. If the ratio confirmed what you already suspected, that your team has the expertise but hasn't built the system, that's exactly the transformation Board of Innovation leads. BOI is an AI Transformation Studio that helps mid-market companies and Fortune 500s redesign how commercial functions operate, moving from rock-band production to orchestra-scale execution. They don't just advise on the shift. They build the operating model that makes it real.
02: Nichefire. When your Signal Architect needs the intelligence infrastructure the orchestra runs on. The Signal Architect role described above requires a fundamentally different kind of data. Not a quarterly culture deck. A live feed. Nichefire is the cultural intelligence platform that reads across discourse, intent, and influence data to surface niche cultural signals at the buyer level, predictive intelligence that tells you what's resonating before it hits the mainstream. Kraft Heinz used Nichefire to spot the intersection of anime culture and Japanese street food before it became a trend, turning a cultural signal into a product launch. Stack it with your CRM data, your competitive intelligence, your market performance signals, and the orchestra doesn't just execute faster. It hears music nobody else can hear yet.
In Closing
The orchestras are tuning up.
The rock bands haven't heard the shift yet.
Twelve months from now, they'll wonder how the music got so much bigger without them.
If the way your commercial team works is changing, tell me which part you’re trying to get right. I’ll help you explore the relevant experience across HauerX.
Is your commercial system making more noise, or making music together?
