What matters to private equity leaders and the companies they sponsor
The industry details are the client’s. The shape is common: a founder-built company, a small commercial team, a product that takes an engineer to quote and explain, a CRM that holds records but not context, and one executive absorbing the administration. What a sponsor should notice is what changed, starting with the board-level change: every deal with a current status and an owner, in one place, in front of the whole leadership team each week. Executive time came back with it, about a third of the commercial chief’s week. Next, the things that slow a sale got faster: technical answers to prospects in a day instead of a week. Commercial output rose without a hire. Then the method spread to finance and IT on its own. None of it needed a bigger model. It needed the company’s knowledge written down, governed, and put in front of the tools its people already use, and leaders trained to extend it. That part travels.
Six results from the first ninety days
| About 60 hours a month | of the Chief Commercial Officer’s time returned to selling, from pipeline reviews and quoting alone, by his own figures |
| Turnaround reduced from 5 days to 1 day | on technical answers to prospects, with engineering hours no longer pulled off projects |
| One current view of every deal | a weekly deal sheet the CEO and leadership run reviews from |
| One to two weeks a month | of freelance copywriter output the company had no budget for, now produced in house by the same team |
| A full website rebuild in fifteen hours | of the Chief Commercial Officer’s own time, plus a few thousand of developer work, instead of an agency project |
| Sharper investor reporting in a week | the finance lead picked the method up from a twenty-minute walkthrough and delivered a sharper investor update within the week, with less spreadsheet work behind it |
A configurable product, a long technical sale, a small team
The company designs and builds configurable hardware and software, and sells it internationally to industrial, public-sector and research buyers. Founder-led and backed by private investors, it is an engineering business first. Most of its people build product.
That shapes how it sells. A quote is a small engineering exercise, because the product is a catalogue of components configured to each customer’s application. A serious prospect wants to know how the system will behave on their platform and in their operating conditions, and what it needs in power, space and integration, before they buy. Cycles are long. The market is specialist, with a high barrier to entry.
The Chief Commercial Officer joined recently, from outside the industry. His brief was to make a small commercial function carry more.
Three things were in the way
Positioning lived in people’s heads.
More than a decade of knowledge about who buys and why was held by the people who built the business, not in a form the marketing team could work from. Segmenting a niche with many player types is hard.
Product knowledge lived in engineering documents.
The documentation is thorough, and it is written for engineers. A non-engineer could not get a customer’s answer out of it. Each technical question went to an engineer whose hours belonged to a project, and needed several rounds of translation before it was ready for a customer. The commercial chief’s estimate: two to four hours of his own time and as much again of an engineer’s, per question, several times per deal. Turnaround could run to a week.
The commercial chief’s week went on administration.
Quotes were produced manually, at forty-five minutes to an hour each. Pipeline reviews cost more. Deals are long and context-heavy, and review calls began by restating where each one stood.
In a market where months can pass between milestones, the cost of not knowing where something stands is high.
Maintaining the CRM and reconstructing where every deal stood took about two days of his week, before a single quote was written. Hold onto that number. Everything below is measured against it.
A positioning and context foundation, and a method the team could extend
We started with the business, not the model.
The first work was positioning discovery: working sessions with the commercial chief and his team that settled who the company sells to, in what segments, through which buyer personas, and what each of those people is measured on, worries about, and needs to hear. The sessions settled it. AI carried the drafting; the decisions stayed with the people in the room. The first drafts were close enough to argue with, which is what moved the work.
The positioning became a governed context system: a library of plain-text documents, with an index of rules for how each is used, held in the company’s own document systems. Any AI tool the team uses reads it before it writes. Positioning, brand, proof points and campaign context arrive with the task instead of being retyped into it. The whole marketing team works from one source, so the company says the same thing about itself whoever is writing.
Then a working method, which we call discovery before design. Give the system the context first. Make it ask its questions before it generates. Ask it to propose how to solve the problem before it produces an answer. When a workflow proves out, save it as a skill, a repeatable instruction that runs the same way for anyone on the team. When a leader corrects a draft, write the reason back into the library so the next draft starts closer. We trained the commercial chief and his team on the method and built the first working system with it, for content production.
Our part was a defined project at the client’s request: a handful of working sessions over the summer. The foundation was in place well inside the ninety days. Everything after that was theirs, and that was the design: a foundation the people who own the work could extend without us. They did.
| Context first | The system reads the governed library before it writes. Positioning, proof and constraints arrive with the task, not after it. |
| Discover, then design | The system asks its clarifying questions before it generates, and proposes how to solve the problem before it produces an answer. |
| Save what works | A proven workflow becomes a skill: a repeatable instruction that runs the same way for anyone on the team. |
| Commit the feedback | When a leader corrects a draft, the reason is written back into the library, so the next draft starts closer. |
A third of the commercial chief’s week, back on selling
Start with the pipeline, because it was the largest cost.
Each Monday the system he built on the foundation reads the CRM and the week’s deal correspondence, and updates a written deal sheet the leadership team works from. It touches only what has moved and lists the changes at the top. He checks it, decides what goes in it, and sends it round. Tuesday’s review call is recorded, and the transcript corrects the sheet. Nobody restates context on the call. Every deal has a current status and an owner, in one place, and the whole leadership team works from the same review. The cadence is a few weeks old, so the company is not claiming faster closes yet. What has changed is the cost of knowing: two days of his week became three or four hours.
Where the deals are at is clear, and it’s referenceable in one place. I’m not walking through the context every time. It’s just there.Chief Commercial Officer
Quoting came next, and it took an hour. He pointed the system at three existing quotes and the process documents behind them and asked it to play the process back. It did, verbatim, and became a skill. Now he forwards a customer’s email, or tells the system to find the deal in the CRM, and it gathers the context, checks its reading with him, and produces the quote in minutes, with a covering note that summarises the customer’s project and the technical points discussed. He rarely edits it. His explanation is the context, not the tool: “A lot of that is down to the underlying data being there.” Up to eight hours a month came back on that one hour of setup. A richer customer-facing quote, with a picture of the configured system and a line on each component, had been a standing ask. It needed new software and a designer. It is now an afternoon’s work, scheduled for this quarter.
Add the two together and about sixty hours a month of a Chief Commercial Officer’s time moved from administration to selling. No hire. No new platform. The context was written down, and the work that depended on it stopped needing him to carry it.
A week to a day on technical answers, with engineering left on product
This is the outcome the commercial chief calls the biggest, and it is the one we would point a sponsor to first.
He mirrored the structure we built for positioning onto engineering knowledge. Customer questions from calls and emails go into a repository where the relevant technical documentation is linked and the system carries guidance on how to read it. A question that used to cost hours of two people’s time comes back as a draft in well under an hour. He runs the draft past the CEO or the CTO, who correct it, and asks the system what they prioritised differently. The reason goes into the library. Review rounds fall each time. Every answer is saved as a technical note, so the next question on that topic starts from a finished draft, not from the source documents.
The effect shows on live deals: integration questions that used to take a week to turn around are now answered the same day. The engineers’ hours stayed on their projects. And a Chief Commercial Officer who came from outside the industry can answer a client at a technical level he could not have reached alone. The loop is what he values.
Something that would have taken me years is accelerating, because I’ve got my own coach: take the feedback, learn, and iterate.Chief Commercial Officer
Commercial output without a hire
Marketing had a body of content waiting to be produced and no budget to produce it. The honest alternative was a freelance copywriter for one to two weeks a month, on a week’s turnaround, at a cost the business did not have. The commercial chief now briefs the system as he would brief a copywriter, with the positioning already loaded, and gets drafts back in minutes. His feedback sticks because the method makes him give the reason, and the reason is kept. More ideas get tried because trying costs nothing: a technical explainer, produced by a contractor through the same setup, read well enough to publish, and he would never have paid a copywriter to find that out.
Design moved the same way. A draft goes through an AI design pass and into the design tool, and the designer on retainer finishes the last twenty percent. Four hours of his time per piece became one. His estimate is that the content now going out would have needed three to four times the people and spend at his previous companies.
The website was the largest single item. It had been on his list since he arrived, and a rebuild at a company this size runs into the tens of thousands, with a vendor search on top. He paid a developer a few thousand to rebuild the site’s foundations. Then, at two or three hours a week and working from the positioning system, he audited the content, audited every image the company had, gave more room to products that deserved it, and rebuilt roughly half the site. About fifteen hours of his own time. A designer will spend a week on polish, and the new site launches later this year.
I would have spent fifteen hours just managing someone else to do the website. Now I’ll have a whole new site I’m happy with, at a fraction of the cost.Chief Commercial Officer
Put the three together and the commercial team is carrying its current pipeline with the people it has, which was not his view before the work began. There is less pressure to rush a hire and more room to decide what that hire should be. He is careful about the comparison with larger competitors. What changed is what the company gets from each person and each hour.
What it means is that we can actually punch above our weight.Chief Commercial Officer
A method that spread on its own
The commercial chief gave the finance lead twenty minutes, the training materials we had left with him, and the transcript of their conversation to load into his own instance. A week later the finance lead produced the investor update the same way. The spreadsheet work fell, the analysis got sharper, and the finance lead was asked onto the investor call.
I said: Marshall created this content, let me share it with you. Put it into your own AI instance, take the transcript from this conversation, and do some Q&A with it. A week later I saw the presentation.Chief Commercial Officer
IT leadership has taken the method away and its team is working with the same tools. People use different AI tools by preference, and the rule the commercial chief set is that everyone works from the same shared context, because the context is the asset and the tool is not. Adoption is moving function by function, at the pace each leader picks it up.
Once you get the genesis of the idea, and it’s so widely applicable, you just keep adding and iterating to it.Chief Commercial Officer
The order is the method
The obvious objection is that this is one motivated executive and ninety days of his own estimates. Two things answer it. The figures are his, and they stop where the evidence stops: the deal-sheet cadence is weeks old and nothing is claimed on closes. And the method has already left his hands. The finance lead’s update and the IT team’s work were not his.
The order is the method. Start from the business problem, not the tool. Write the company’s knowledge down once, in its own systems, governed, and owned by the people who use it. Train the leaders on a method rather than a set of prompts, and let them extend it, because every system built on the foundation makes the next one cheaper. Measure in hours returned and cycle times, and say plainly what is too early to claim.
The hard part was getting more than a decade of context out of people’s heads and engineering documents and into a form a commercial team could work from, and that was the part done in the first weeks. The open question for the company is the one every company on this path faces: whether the method keeps spreading once it no longer depends on the executive who started it. So far, function by function, it is.
From baseline to build
Stetson Value Creation Partners works with lower-middle-market private equity funds and the companies they back, from baseline to build. It starts with the Portfolio AI Baseline: a free read of a fund’s whole portfolio, in under three hours of the partner’s time, for the partner who owns value creation, with or without an operating partner. Where a company wants to go further, Your Company AI Roadmap is built with its leadership, seen by them first, and owned by them; they decide what to share and when. The free work is free because it is how Stetson VCP chooses the companies it builds with long-term.
The client’s Chief Commercial Officer is available as a personal reference on request. The company is anonymised at its request. Marshall Lincoln is Founder, Stetson Value Creation Partners, and former VP of analytics and customer data at a roughly $1.5B private-equity-owned telecom.