The Game You Are Actually Playing

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I see a lot of MSP owners get into trouble at the point where the business starts to feel slow.

The pipeline is not moving the way it used to. The team meeting feels a bit flat. The same service issues keep coming around again. Nothing is broken enough to panic, but nothing is improving enough to create energy either.

That is a dangerous place to sit, because a quiet business rarely stays quiet for long.

Borrowing from the wrong playbook

When progress gets hard, the temptation is to look sideways. You see another MSP posting about a new offer, a new pricing model, a new automation stack, or a new AI service, and the instinct is to copy it.

I understand why. Doing something feels better than sitting with the problem. A fresh tactic gives you the sense that movement has returned.

The issue is that another provider may not be playing the same game as you.

A fifty-person MSP with dedicated account managers, mature project delivery, and a bench of engineers can make moves that will punish a ten-person business still trying to standardise its support desk. A one-person consultant can make promises that a larger team cannot deliver consistently. A cybersecurity-focused provider can price and position differently from a generalist MSP still carrying legacy client expectations.

The tactic may be sound. It just may not belong at your stage.

Progress needs context

This is where I think Microsoft 365 Copilot becomes useful, not as some magic answer, but as a way to get clearer about the current state of the business.

Before chasing the next idea, I would rather see an MSP owner ask Copilot in Teams to summarise recurring themes from recent leadership meetings, or use Copilot in Outlook to pull together the common patterns in customer escalations. If the team keeps discussing noisy clients, delayed projects, margin pressure, or weak documentation, that is a signal.

Then take that signal into Excel. Look at ticket trends, project slippage, licence margin, and client profitability. The goal is not to produce a beautiful report. The goal is to work out what level of the game you are really in.

Are you trying to win new business when delivery is already stretched? Are you selling AI readiness while your own SharePoint permissions are messy? Are you chasing strategic advisory revenue while your QBR process is still a slide deck built the night before?

That is not failure. That is feedback.

The next move should fit the level

Good strategy is not about copying the smartest-looking move in the market. It is about choosing the move your organisation can actually absorb.

For one MSP, that might mean tightening onboarding before launching a new managed Copilot service. For another, it might mean cleaning up agreement profitability before hiring another technical resource. For another, it might mean using Planner and Teams to create a simple weekly operating rhythm, so the leadership group can see what is stuck before it becomes expensive.

None of that sounds glamorous. That is partly the point.

A business usually regains energy when it can see progress again. Not noise. Not theatre. Real progress. A decision made. A blocker removed. A client segment clarified. A service standard improved.

The MSPs I see do well are not always the ones with the cleverest tactic. They are the ones with enough discipline to ask, “What game are we actually playing right now?” and enough honesty to answer it.

That is where momentum comes back.

Not from copying someone else’s move, but from making the next right move for your own business.

Standards Are Not Gatekeeping. They Are Protection.

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I have sat in plenty of rooms where someone suggests lowering the bar to get more people involved. Make the rules softer. Reduce the expectations. Stop being so particular about process, documentation, security, handover, client communication, whatever the current friction point happens to be.

It always sounds reasonable at first.

But there is a pattern I have seen too many times to ignore: when a room has no clear standards, it does not attract the best people. It attracts the people who prefer ambiguity because ambiguity lets them avoid accountability.

That is a hard lesson for many MSPs to learn.

The bar tells people what matters

Standards are not about making life difficult. They are about making expectations visible.

If your team has a standard for documenting client environments in SharePoint, then everyone knows where the source of truth lives. If meeting notes and actions are captured in Teams or Loop, people know what was agreed and who owns it. If Copilot is being used to summarise client discussions, draft follow-up emails in Outlook, or prepare service review notes in Word, there should be a clear expectation about what information is appropriate to include and what must stay out.

Without that, everyone invents their own version of good enough.

That is when things drift.

One person writes detailed notes. Another leaves three vague lines in a ticket. One engineer checks conditional access changes against a peer review process. Another makes the change directly because “the client needed it quickly.” One account manager records agreed actions. Another relies on memory and an inbox search three weeks later.

The issue is not that people are bad. The issue is that the organisation has allowed different definitions of acceptable work to exist at the same time.

That never scales.

Lowering standards rarely solves the real problem

When standards feel hard to meet, the answer is not always to lower them. Sometimes the answer is to make them easier to follow.

That is where Microsoft 365 and Copilot can help, but only if the business already knows what good looks like.

For example, if your MSP expects every client meeting to end with clear actions, use Copilot in Teams to help summarise the discussion, then review and clean it up before sending it from Outlook. If your team struggles to keep project notes consistent, create a simple Word or Loop template that defines the structure. If client documentation is scattered, fix the SharePoint libraries and permissions before telling people to “just ask Copilot.”

Copilot does not remove the need for standards. It exposes where they are missing.

If your process is messy, Copilot will help you move faster through the mess. If your permissions are sloppy, Copilot will show people more of what they already had access to. If your team has never agreed what a good client handover looks like, Copilot will not magically create that discipline for you.

AI makes good standards more valuable, not less.

A serious business needs serious expectations

I am not talking about perfection. No MSP runs perfectly. Every team has busy days, awkward clients, rushed escalations, incomplete tickets, and moments where someone has to make a judgement call.

But there is a difference between flexibility and having no standard at all.

A good standard says, “This is how we do things here.” It gives strong people confidence because they know the work will not be undermined by shortcuts. It gives newer people a path to improve. It gives leaders something fair to manage against.

Most importantly, it protects the business from becoming a place where the lowest acceptable behaviour becomes normal.

If you want a better team, better clients, and better outcomes from tools like Copilot, start by being clear about the room you are building.

The people worth having will not be scared away by standards.

They will be attracted by them.

The Recurring Problem: A Managed Services Story–Chapter 9

Previously – https://blog.ciaops.com/2026/08/02/the-recurring-problem-a-managed-services-story-chapter-8/

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Renata Cole called Dave in the spring, mostly to catch up, mostly out of professional curiosity about how the conversation she’d had with him two years earlier had landed. He walked her through the numbers without much ceremony, because for the first time in years he didn’t need to dress them up. Recurring revenue: 83 percent of total, closing in on the threshold she’d once told him buyers actually respected. Largest client concentration: down to 11 percent, after two years of deliberate diversification and the return of Lakeside. EBITDA margin: up to 24 percent, not because Bridgepoint had cut anything, but because AI-assisted service delivery had let the same headcount support 30 percent more client seats without a corresponding rise in labor cost. Two new verticals — healthcare and manufacturing security — accounted for nearly half of new sales, at price points 20 to 30 percent above the old generalist rate.

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“You’d get a very different number from me today,” Renata said. “Somewhere in the eight-to-ten range, probably higher if you kept the trajectory going another year. What did it actually take?”

Dave thought about it for a moment before he answered, because he wanted to get it right, and because he’d had two years to think about what the honest answer actually was.

“It took losing a client I genuinely cared about,” he said, “and a woman with a spreadsheet telling me a number I didn’t want to hear, and a twenty-six-year-old who was right about something I didn’t want to admit she was right about. It took one of my best engineers deciding to stay and figure out who he was going to become instead of walking out the door defending who he already was. None of that was a strategy. It was just what it actually took to stop protecting a version of the business that the world had already stopped needing.”

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He didn’t say it the way a case study would say it, with a tidy label like transformation or pivot. He said it the way it had actually happened: slowly, expensively, unevenly, with real people who had real doubts and real things to lose, arriving — later than any of them would have liked, but not too late — at a business built for the clients they actually had, instead of the ones they used to.

Jordan still drove a van some days, out of habit, same as Dave once had. But these days, when he pulled into a client’s lot, he wasn’t there because something had broken. More often than not, he was there to explain what Bridgepoint had already caught before it did.

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The MSP industry Bridgepoint operates in today looks little like the one Dave Kessler started in. Recurring revenue quality, not relationship goodwill, now determines what a services business is worth. Vertical depth, not generalist breadth, commands premium pricing. And the providers thriving in the AI era are not the ones that resisted automation to protect familiar work, but the ones that used it to free their most experienced people for the judgment only they could offer — becoming, in the process, less like vendors who show up after something breaks, and more like advisors clients call before it does.

The Recurring Problem: A Managed Services Story–Chapter 8

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Previously – https://blog.ciaops.com/2026/08/01/the-recurring-problem-a-managed-services-story-chapter-7/

Denise Okafor called again in October, fourteen months after she’d left. Meridian Health IT, the healthcare specialist she’d switched to, had been acquired by a larger regional platform in the interim, and the transition had gone badly: her dedicated account team had been reassigned twice in five months, her monthly reporting had become generic boilerplate, and a recent phishing-simulation failure across two of her nine locations had gone unaddressed for three weeks.

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“I saw your new compliance offering mentioned by another practice administrator at a conference,” she said, sounding almost embarrassed to be making the call. “I didn’t expect Bridgepoint to have become the thing I left Bridgepoint looking for.”

The proposal Jordan walked her through six weeks later bore almost no resemblance to the flat monthly bundle Lakeside had once had. It included a named security lead who would sit in on Lakeside’s own compliance committee meetings quarterly; documented incident-response procedures with contractual response-time guarantees, backed, for the first time in Bridgepoint’s history, by a real penalty clause; and an AI usage policy specifically written for a healthcare practice where several physicians had already started experimenting with AI transcription tools without anyone’s approval.

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“What changed?” Denise asked Dave directly, at the contract signing.

“We stopped assuming that showing up mattered more than showing up for the right thing,” Dave said. “For a long time, I thought the job was being available. It turns out the job is knowing, better than the client does, what they’re actually going to need protection from next. We had to become the kind of company that could tell you that, instead of the kind that just answered the phone quickly after something already went wrong.”

Lakeside signed a three-year contract at a rate 34 percent higher than its original agreement. Denise didn’t blink.

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The Recurring Problem: A Managed Services Story–Chapter 7

Previously – https://blog.ciaops.com/2026/07/31/the-recurring-problem-a-managed-services-story-chapter-6/

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The transformation that followed took the better part of eighteen months, and it was messier and slower than any tidy retelling makes it sound. Priya led it, with a whiteboard in her office that eventually filled an entire wall.

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The first and hardest change was financial. Bridgepoint stopped selling hourly project work as its default and began requiring every new client, and every renewing one, to move onto a tiered managed-services contract with a three-year term — not because Priya loved locking clients in, but because Renata’s numbers had made the logic unavoidable: longer, deeper contracts weren’t just more predictable, they were worth measurably more, and clients who wouldn’t commit to a real partnership usually weren’t clients worth keeping anyway. It cost Bridgepoint two accounts that flatly refused the new terms. It gained the company, within a year, a recurring-revenue base that had climbed from 46 percent to 71 percent of total revenue, on its way toward the 85-percent target Priya had written at the top of the whiteboard and circled twice.

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The second change was strategic focus. Rather than continuing to be everything to everyone, Bridgepoint made a deliberate bet on two verticals where it already had real experience: healthcare and light manufacturing. It hired a part-time compliance consultant with a HIPAA background, built a documented incident-response playbook mapped explicitly to healthcare regulatory requirements, and began marketing itself, for the first time in its history, as something other than a friendly generalist. The pitch decks stopped saying “we support any business” and started saying “we understand what a HIPAA auditor is going to ask you, because we’ve already answered it forty times.” Pricing for the healthcare tier came in meaningfully higher than the old flat rate — clients paid it without much argument, because for the first time, the price reflected expertise they could see, not just hours they were trusting someone to bill honestly.

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The third change was the one Tom Baptiste’s plant-manager scare had made unavoidable: Bridgepoint built an actual AI governance offering, something that hadn’t existed anywhere in its service catalog eighteen months earlier. It started small — a one-time “AI readiness assessment” that inventoried every AI tool a client’s employees were already using, sanctioned or not, and flagged where sensitive data might be leaking to public tools nobody in leadership had approved. It grew into an ongoing service: written AI usage policies tailored to each client, ongoing monitoring for unsanctioned tool use, and, for the healthcare and finance clients who needed it, documentation aligned with emerging frameworks their own auditors were starting to ask about. It was Aisha’s idea, developed with a compliance consultant Priya brought in, and it became, within a year, one of the highest-margin services Bridgepoint had ever sold — not because it required expensive infrastructure, but because it required exactly the kind of judgment Jordan and his fellow senior technicians actually had, applied to a problem clients didn’t know how to solve themselves.

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“We spent eight years being the people who fixed what broke,” Priya said, at the leadership offsite where she presented the first full year of results. “We’re spending the next eight being the people who tell clients what’s about to break, and what they’re not allowed to plug into their network without asking us first. That’s a completely different business. It just happens to be run by the same people.”

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Why I Wrote Is the Traditional MSP and TSP Business Model Becoming Obsolete?

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Over the last few years I’ve had the same conversation with MSP owners dozens of times.

It usually starts with a variation of the same question:

“We’re still growing, so why do people keep telling us our business model is under threat?”

It’s a fair question.

Most MSPs are not seeing clients disappear overnight. The demand for technology remains strong. Microsoft 365 continues to expand. Security requirements continue to increase. Businesses still need trusted advisers to help them navigate increasingly complex technology environments.

So why the concern?

Because I believe many MSPs are measuring the health of their business using indicators that are becoming less relevant.

That belief is what led me to write Is the Traditional MSP and TSP Business Model Becoming Obsolete? The report examines the growing gap between providers that are adapting to AI, automation and changing customer expectations, and those that are still relying on assumptions that worked a decade ago.


The question isn’t whether MSPs survive

One of the biggest misunderstandings in the market today is the idea that MSPs are somehow disappearing.

I don’t believe that completely.

In fact, I believe businesses will need trusted technology partners more than ever.

What I do think is disappearing is the value attached to many traditional activities that MSPs have historically relied upon.

Routine administration is becoming increasingly automated.

Security expectations are rising.

Clients are becoming more outcome focused.

AI is changing how work is performed inside both customer organisations and service providers.

The real question is not whether MSPs survive.

The real question is whether the way many MSPs currently operate remains commercially attractive over the next decade.

That distinction matters.


Why I decided to research the issue properly

There is no shortage of opinions about AI and the future of managed services.

Unfortunately, there is also no shortage of hype.

I wanted something different.

I wanted evidence.

I wanted current financial benchmarks, analyst forecasts, industry data, acquisition trends and market observations pulled together into a single document that leaders could use to make strategic decisions. The publication is positioned as an evidence-based strategic report focused on AI, automation, platform shifts and their impact on MSPs and TSPs. [directorci…umroad.com]

Most importantly, I wanted a resource that challenged both sides of the argument.

The report doesn’t simply assume every traditional provider is doomed. Nor does it assume technology will magically solve every business problem.

Instead, it looks at what is actually happening in the market and asks a more practical question:

“What would a successful MSP look like in 2030?”


What readers will gain

When I speak with MSP owners, many are wrestling with the same strategic challenges:

  • How does AI affect our service model?

  • What happens when automation reduces labour requirements?

  • How should we price services in the future?

  • Where does Microsoft Copilot fit?

  • What capabilities should we invest in now?

  • How do we increase the value of our business?

Those are boardroom questions, not technical questions.

The report explores these issues and examines why security, AI-enabled services, automation and outcome-focused engagements are becoming increasingly important growth areas. It also discusses transformation approaches and includes a practical action framework aimed at helping providers prepare for the future. [directorci…umroad.com]

As someone who spends a large part of my time helping organisations get ready for Microsoft 365 Copilot, I see a similar pattern everywhere.

Technology is no longer the difficult part.

Change is.

The providers that learn how to guide customers through governance, security, productivity and AI adoption will have an advantage that goes well beyond technical expertise.


This report is really about decisions

At its core, this publication is not a technology report.

It is a business strategy report.

It is designed for MSP owners, technology service providers, Microsoft partners, consultants and investors who want a clearer view of where the industry is heading and what actions may be required to remain competitive. [directorci…umroad.com]

If you already believe everything is fine, the report may challenge your assumptions.

If you are worried about the future, the report may give you a clearer framework for evaluating your options.

Either way, my goal was to provide a practical, evidence-based resource that helps leaders make better decisions during a period of significant industry change.

Because the biggest risk facing most MSPs today is not AI.

It’s assuming tomorrow will look enough like yesterday that no meaningful change is required.

If you’re serious about understanding where managed services may be heading over the next decade, I believe this report will be a worthwhile investment.

Learn more here: Is the Traditional MSP and TSP Business Model Becoming Obsolete?

The Recurring Problem: A Managed Services Story–Chapter 6

Previously – https://blog.ciaops.com/2026/07/30/the-recurring-problem-a-managed-services-story-chapter-5/

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Dave called Aisha into his office the following Monday, alone, no leadership meeting audience. “Tell me honestly,” he said. “If we actually did this — really did it, not a five-hundred-ticket trial license — what would it take, and what would break?”

Aisha, to her credit, didn’t gloat. She pulled up a proposal she’d apparently been quietly refining for months on the assumption nobody would ever ask to see it. A tiered rollout: automated triage and resolution for the top eight ticket categories that accounted for nearly sixty percent of volume; predictive monitoring that could flag failing hardware and unusual network behavior before clients ever noticed a problem, instead of after; and, critically, a real security escalation path with automated paging, not a shared inbox and a prayer.

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“What would it take?” she said. “Budget, about $140,000 in tooling and integration over the first year. What would break — that’s the harder question. Not the technology. The technology works; I’ve been running the proof of concept for months and the failure rate on auto-resolved tickets is under two percent, and every one of those gets caught and escalated to a human, not silently dropped. What breaks is the team, if we don’t handle this right. Jordan thinks this is about replacing him. It isn’t. But if we don’t say that out loud, clearly, more than once, he’s going to be right to be angry, because nobody will have told him otherwise.”

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Dave took that seriously enough to have the conversation with Jordan directly, which was, in its own way, harder than the conversation with Renata Cole had been. They sat in the break room after hours, two coffees going cold.

“I’m not going to pretend some of this doesn’t automate work you currently do,” Dave said. “It does. Password resets. Basic troubleshooting. The stuff that’s been eating your week. What I need from you isn’t to compete with it. It’s the thing it can’t do — sit with Tom Baptiste and tell him honestly what his plant manager’s AI habit is going to cost him if nobody manages it, or walk into a room with a healthcare compliance officer and speak their language because you’ve done it for eleven years. I can’t automate the part where clients trust you. I can only automate the part where they don’t need to wait nineteen hours for a password reset while they’re deciding whether they still do.”

Jordan didn’t answer right away. “So my job changes,” he finally said. “From doing the work to explaining the work.”

“Your job changes from being the guy who shows up,” Dave said, “to being the guy clients call before they know they have a problem. That’s a better job than the one you have now. It’s just not the one you were trained to think you were signing up for.”

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It wasn’t a clean resolution. Jordan stayed skeptical for months, and two of Bridgepoint’s other senior technicians left over the following year — one retired early, one took a role at a competitor that hadn’t changed anything and, as far as anyone could tell, was quietly struggling because of it. But Jordan stayed, and by the following spring he had become, somewhat to his own surprise, the person clients most wanted running their onboarding calls for the company’s new security offering, because he was the one person in the building who could explain, in plain language and without a sales pitch, exactly why it mattered.

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The Recurring Problem: A Managed Services Story–Chapter 5

Previouslyhttps://blog.ciaops.com/2026/07/29/the-recurring-problem-a-managed-services-story-chapter-4/

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The idea of selling Bridgepoint, or at least taking on a growth investor, had floated around Dave’s head for a couple of years, mostly as a retirement fantasy he indulged on long drives. In March, half out of curiosity and half because losing Lakeside had rattled him more than he wanted to admit, he agreed to a preliminary valuation conversation with an M&A advisory firm that specialized in IT services roll-ups. Marcus had a contact; the meeting cost nothing but an afternoon.

The advisor, a clipped, unsentimental woman named Renata Cole, walked Dave and Priya through Bridgepoint’s financials with the emotional affect of someone reading a weather report. Revenue: $9.4 million. EBITDA: roughly $1.6 million, a healthy-looking 17 percent margin. Dave had always been quietly proud of that number.

“Your EBITDA is fine,” Renata said. “Your multiple is going to be a problem.”

“Explain that to me,” Dave said.

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“At your size, with your revenue mix, buyers in this market are going to look at three things before they look at anything else,” she said, ticking them off on her fingers. “First: what percentage of your revenue is contracted, recurring, and sticky, versus one-off project work that could evaporate next quarter. Second: how concentrated your revenue is in your largest clients. Third: whether you have any real differentiation, or whether you’re a generalist competing on relationships and price. On the first, you’re sitting around forty-six percent recurring revenue — buyers want to see north of eighty-five percent before they’ll pay a premium multiple. On the second, your largest client is nineteen percent of revenue, and buyers get nervous well before that; anything over twenty to twenty-five percent concentrated in one account is a red flag they’ll price into the offer. On the third — no offense, Dave — ‘we’ve been doing this for eight years and our clients like us’ isn’t a moat. It’s a headline that every generalist MSP could put on their own website.”

She turned her laptop around so they could see the slide. A business with Bridgepoint’s EBITDA and a strong recurring-revenue base, high client diversification, and a specialized niche could reasonably expect eight to twelve times EBITDA, even higher with a security specialization. A business that looked like Bridgepoint currently looked — generalist, project-dependent, concentrated — was more realistically priced at four to six times, and buyers would likely structure a meaningful chunk of even that as an earnout contingent on retaining the client base through the transition.

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Four to six times $1.6 million was, doing the arithmetic Dave really didn’t want to do in front of Renata, somewhere between $6.4 million and $9.6 million — for a company he’d spent eight years and, by his own private accounting, most of his thirties and half his forties building. Not a number to be ashamed of, exactly. But nowhere near what he’d let himself believe it might be worth, and nowhere near enough for the number to represent what it was supposed to represent: proof that the thing had been worth doing.

“I’m not telling you to sell,” Renata said, more gently, watching his face. “I’m telling you what the market is actually pricing, so that if you ever do want to sell — or even if you just want to run a business that isn’t one bad quarter away from a crisis — you know exactly which three levers you’d need to pull. It’s not really about me, or about a buyer. It’s about whether your business model matches the world your clients are actually living in now. Right now, it doesn’t quite.”

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Dave didn’t sleep much that night. He kept coming back to something Aisha had said in November, dismissed at the time as youthful overconfidence: You’re spending forty percent of your week resetting passwords. That’s not judgment. That’s just volume.

For the first time, he let himself actually finish the thought he’d been avoiding for a year: Bridgepoint wasn’t losing because it was doing anything badly. It was losing because it was doing, extremely well, a version of the job that increasingly nobody needed done that way anymore.

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