
Bigger. Better. Faster. Stronger. Cheaper.
No, not that’s not a Kanye West song (although it nearly is…). Today’s article is about what makes us human…and why that should matter for your business.
Given a chance, humans like to -er things. Take something that exists now, and make it into something more than it is now, on some dimension.
Got a car with a top speed of 30mph…how do we get it to 40mph?
Got a machine that churns out 100 widgets a day…how do we get that to 200?
Got a product that costs £100…how do we make much the same thing for £50?
Bigger, better, faster, stronger, cheaper – anything we can do on any of those dimensions means a better product we can sell more of, right?
And we also get a marketing advantage – at least in the short-term while our competitors work out how to copy what we’ve done. Given the choice between trying to sell a product that potential customers see as indistinguishable from every other product on the market and trying to sell a product that’s different from every other product on the market in at least one of those dimensions…I’m taking the product that’s different every day of the week.
Not least because now you’ve given your customers some logical basis to post-rationalise their decision, and head off a bit of buyers’ remorse.
While it’s fashionable to think otherwise, we all buy everything emotionally first and then post-rationalise why we bought it with logic. So you can’t just sell the dream – you have to back it up with logic.
“No, dear, I didn’t waste money buying that fancy car. I bought it because it will get me home faster so I get to spend more time with you.”
Please note I didn’t say the post-rationalisation was actually objectively rational. Just that it provides a framework for the little lies we like to tell ourselves ever since the Victorians rediscovered the ancient Greek philosophers and decided that logic was the purest form of decision-making.
Which is weird, because logic often throws up the very worst decisions imaginable. But then the Victorians – and the ancient Greeks for that matter – never seemed to have any trouble with, for example, supporting slavery or treating women as second-class citizens.
Once you accept the (offensive and wildly incorrect, let me say) position that straight white men are superior to the rest of humanity, then logically slavery and oppression are perfectly justifiable.
There is no purity in logic. It’s just one of the circuits we can use in our decision-making. Which is why wise people recognise the best answers sometimes come from a source other than pure logic.
That said, if you want to sell something to someone, it’s a lot easier if you can sell them emotionally first, and then drop in a logical basis for them to post-justify their decision.
And although I’d recommend only doing that ethically, all of history’s biggest scam artists – up to and including some of the people selling AI solutions today – aren’t especially troubled by ethics.
That’s the pitfall with logic…once you’ve decided logically that stealing as much money as possible from as many people as possible to enrich yourself is a good thing, then logically you should steal from as many people as possible as fast as possible because that takes you closer to your end-goal of living the rest of your life in comfort in a country which doesn’t have any extradition treaties.
And, to be absolutely fair to the ancient Greek philosophers – Aristotle, specifically, in this case – even they recognised that logic wasn’t the be-all and end-all.
I realise if you run a tech business, or work as a politician, it will come as news to you that Aristotle talked about how a blend of ethos, logos, and pathos – broadly, ethics, logic and emotions – were essential to good communication, and by extension to life itself.
The “logic” bit was only one element out of three. Not the only basis for interacting with humanity and making decisions.
Change management
One place all these factors often bump into one another, like a multiple car pile-up on a motorway, is when it’s time to change something inside a business.
You know the sort of thing – sales aren’t where we need them to be, profitability has taken a hit, our costs are too high relative our competition. So it’s time for change.
The wisest words I ever heard on the subject of change management were from an early boss of mine, who used to say, “Changing things is easy. It’s knowing what to leave the hell alone that’s difficult.”
His view was that any idiot can throw everything up in the air and make whatever they were doing before different.
Often that’s why people who are described as “having a bias for action” are so highly prized in organisations, because they throw everything up in the air and make changes everywhere.
To the uninitiated, that looks like a real go-ahead guy or gal…someone we ought to be giving a promotion to.
More often, in my experience, it’s a sign of someone you should be demoting, if anything, because they don’t understand the situation they are changing well enough to make more intelligent decisions.
To channel my old boss’s sentiment – they don’t know what to leave the hell alone.
You see, change management (despite the name) isn’t actually about changing things willy-nilly.
Its about getting a better answer – typically, in my case, an improvement to a business’s bottom line, but the concept applies equally to making more sales or engineering a more reliable product. Once you get your head around that concept, it becomes more obvious that getting a better answer might, at least in principle, be a blend of things you do differently and things that stay the same.
That’s why the term “change management” sets my teeth on edge. “Business Improvement” would be a much better term, but we are where we are in a world that thinks change for its own sake must necessarily be a good thing.
But there’s a flip side to this as well.
As Albert Einstein supposedly said, according to a number of sources on the internet, the definition of insanity is doing the same thing over and over again while expecting different results.
So if you want to improve your business results, leaving everything the same is not likely to be a successful strategy. It’s much more likely that you’ll want to change some things, but not others.
Change everything
One of the many reasons I know AI will never work is that it comes from a “throw everything up in the air and change everything” place.
And that includes changing the things that work perfectly well now which, ironically, usually comes with significant downsides to your business in terms of reduced revenues or increased costs – the precise opposite of what you hoped to get from your AI Transformation Project.
To understand this, you have to put yourself in your customers shoes, first and foremost. You can change anything you like inside your business, but if it’s a “meh” to customers – or, worse, a distinct turn-off – then you’ve wasted your time and money, and ended up in a worse position than where you started.
That’s not smart, but it’s what every AI transformation specialist is doing every day of the week at the moment.
Let’s look at an example.
It’s partly a generational thing, I accept, but I like being able to pick up the phone to suppliers to get problems sorted out on the spot, when possible.
I do not like having to raise a ticket on some soulless interface which promises me that someone will get back to me within the net 48-72 hours. By then my business might be irreparably damaged.
Now, I get it that a soulless interface for raising a ticket is a lot cheaper to operate than having someone available to take an inbound call within a reasonable period of time. I used to run a large call centre operation, so I know how the economics works.
However people working in call centres are not usually paid life-changing amounts of money, so the actual cost of having someone take a call – assuming they are kept reasonably busy – is only a couple of quid a call.
If I’m spending £000s with your business and you’re not prepared to reinvest a couple of quid to pick up the phone every now and again to help me solve my problem, then that’s a sure sign of a supplier I don’t want to deal with if I can possibly help it.
“Oh, but Gen Z prefer interacting via digital methods”, people selling tech solutions often say.
That might even be true (although I doubt it). But not many Gen Z people run £million budgets where they need a key supplier to respond to their queries in less than 48-72 hours. Odds are most of the people who do would prefer to talk to someone on the phone and get an instant answer.
So you have to start where your customers are, not where you would like them to be, or where you were told they would be in a fever dream inspired by the glossy slide deck some sharp-suited salesman took you through the other week.
I can’t say this strongly enough – you will lose business from me if I can’t pick up the phone, speak to someone, and get my problem solved in less than 48-72 hours.
By definition if I’m calling you, it’s not because I’ve run out of things to spend my day on. Its because there’s a major issue and we need support right now.
So if you’re making me raise tickets or chat with some AI tool, I can save you a lot of time trying to pitch me. I’m not interested.
It’s not insanity
That doesn’t mean you need to keep things the same.
When I ran a large call centre, we made no end of changes to our service inside the call centre which made us more resilient, more efficient, and helped us provide a better service to customers.
The difference is that, outside the call centre, you’d never know. Or if you noticed anything at all, you’d just be impressed by the speed and efficiency with which we solved your problem.
We didn’t focus on implementing a change from a customer perspective. We focused on leaving the things the customers liked the same.
But what was going on under the bonnet? That was fair game.
So, if I was running an AI transformation, I’d leave the element people liked the same (ie, picking up the phone to an actual human, if that was my preference, and getting my problem solved) and I’d use technology to enable my call centre agents to service clients better.
I might, for example, make it easier to access the details of a customer account with a single click rather than making the call centre agent tab through several different screens on a piece of helpdesk software to find the details they were looking for.
The “making information easier to access bit” – sure, make changes to your systems. The “people pick up the phone and answer your calls” bit – leave that alone.
Generally the problem with change management as a discipline is that its shorn of any responsibility for, or even concern about, the end-result beyond “change everything”.
That’s partly by design, because otherwise AI transformation people (and their predecessors in areas like digital-first transformations, TQM, and Taylorism) need to find as big a cost base as possible to start with so their fees sound like a bargain by comparison.
If you want to sell a service costing £500k, you ideally want a £5m budget to hack away at, because that way you should be able to find enough ways of saving 10%+ of that £5m budget, thereby justifying your fees. (Mind you, I could probably do that right now without an AI transformation, but that’s not my point here.)
It’s not because that’s necessarily the right answer – it’s entirely about making eyewatering fees look like they’re good value, in the context of the budget they’re starting with.
Frankly, saving £500k out of a £1m business is just as valuable. It’s still £500k. It still lands on the bottom line the same way.
But that pitch is much more high-risk for the change management and transformation community, because that means they’ll have to come up with some really exceptional ideas. The odds of them finding something you don’t already know yourself to the tune of making £500k savings out of a £1million budget are very much against them.
That’s why, even though the right answer from a customer perspective is to leave their ability to call up and speak to a human intact, the change management and AI transformation folks need to get to as big a starting point as possible, because then their £500k fee looks like a bargain by comparison.
“Give us £500k and we’ll sack everyone in your call centre, which costs £10m a year to operate and replace it with an AI-powered customer service system costing just £3m a year” sounds like a bargain, but it’s very likely to be the worst decision you could take.
If you sell low-cost B2C products, that might be OK. Necessary, even, in the face of steep competition. And if someone is spending £50 a year with you, that doesn’t leave much of a margin for high levels of customer service or a high-cost infrastructure.
In B2B – and especially if you deal with senior people – that same strategy is likely to be pretty dumb, no matter what the tech folk tell you about people preferring to interface with suppliers via an app on their phone.
Switching costs
Part of the reason you should leave some things “the hell alone”, in my old boss’s words, are that even if the proposed strategy is reasonable enough on some level, the cost or risks of getting there are out of proportion with the benefits.
This is another way the AI magic beans crowd demonstrate they don’t really understand what they are doing. That’s why they are dangerous.
But, despite my long-held scepticism about AI, the same thing applies to any strategy which boils down to “we need to do X everywhere”.
To quote Abraham Maslow – or at least the version of him that pops up on internet quote sites – “When all you’ve got is a hammer, everything looks like a nail.”
In change management if, before you’ve even started a transformation process, you’ve already decided the only acceptable answer is “AI”, then the likelihood of you reaching the best possible solution is precisely zero.
Not just because I think AI is over-hyped (although I do). But if you’re reading this article in a few years’ time after the AI bubble has burst, this applies equally to anything anyone ever tries to convince you is the single magic answer you need to deploy everywhere in your business.
There are many reasons why any “everything everywhere” strategy is bonkers, but it boils down to the fact that when all you’ve got is a hammer, bashing everything on the head as if they were a nail isn’t always the best solution.
If its the only solution you’ve got, you’ll end up doing plenty of things that backfire on you and your business.
Often that’s because, in a “change everything” world, people forget about switching costs.
What I mean by that is, notwithstanding the theoretical attractions of an idea, making it happen in practice would be so expensive, that the smartest thing to do for your bottom line is not to make the change and leave things as they are.
The best example of that I’ve seen was on a visit to Nissan’s Sunderland car plant a few years ago.
Volume car manufacturing is, as I’m sure you know, fiercely price-driven and hugely competitive. Car factories are full of robots because that means a higher line speed and more efficient production.
But Nissan didn’t have a “robots everywhere” strategy. They had a “lowest cost manufacturing strategy”.
So, after going through a number of robotic processes, the production line snaked through an area where 6 or 8 people are all over the car, putting in the seats, making sure the trim is in the right place, doing the final fit on the windscreen, and so on, before going back into a mostly robot-led phase.
I’m sure it’s theoretically possible to get robots to do all those things. And I’m prepared to bet that the people at Nissan know exactly how to make that happen.
But they wanted the lowest cost solution. Not the most robotic solution.
With that objective, there were just parts of their production process where it was more efficient and cost effective to get a human to do the work than to spend tens of millions on more robots.
The people at Nissan understood the brief.
They weren’t people armed only with hammers walking around looking for nails to bash. Their focus was on low-cost production and they understood that sometimes low-cost meant “robots” and sometimes it didn’t.
When they were building their shiny new factory – one of the world’s most efficient car production facilities, rivalling even Japanese levels of efficiency – and robots started to make their way into vehicle manufacturing, the people at Nissan had a very clear idea of what they were going to change and what they were “going to leave the hell alone”.
Turns out there is no such thing as one answer that works for everything, everywhere, all at once.
Rather, there are times when robots in your factory, AI software, or any other “magic solution” you get presented with is the smart way forward.
And there are times when doing that is spectacularly dumb.
I’ve always found that approaches grounded in dogma or ideology, like “AI should be everywhere” dramatically underperform against solutions which blend different elements together to come up with the best practical solution, one which works for your business and your customers equally.
Or, as my old boss David might say, when you want to make changes, one of the most important things to identify are the things you really ought to leave exactly as they are.








