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Trust can't be automated. Everything else can.

Denise Johansson at Enfuce argues that AI can automate almost everything else, but trust can only be earned through human judgement, accountability and consistent behaviour.

When we founded Enfuce ten years ago, the playbook was clear. Make noise about innovation. Build something nobody else has built. We became the first company in the world to put payment processing on the public cloud, and that gave us recognition, credibility, and a reputation we’re still proud of.

 

But here’s what I’ve learned since: technology advantage is always temporary. AI is accelerating that reality. What once took years to replicate now takes far less. Products, features, infrastructure can be copied quickly. If it works, it will eventually be replicated. 

 

So the question I keep coming back to is this: when everyone has access to similar technology, what are you actually competing on?

 

 

When technology stops being enough

I’ve spent a lot of time in the last year talking to customers, partners, investors, and regulators. The question they’re asking has changed. It’s no longer just "what can you do?" It’s "can we trust you to do it responsibly?"

 

That’s a different question. It requires a different answer. And it can’t be answered with a product demo or a capability slide.

 

I’ve come to believe we’re entering what I think of as the Trust Economy. A period where trust isn’t a supporting element of your value proposition; it is the value proposition. The companies that win long-term won’t necessarily be the ones with the most sophisticated technology. They’ll be the ones whose customers, partners, and teams would still choose them with full information - not just the polished version of events but the trade-offs, the difficult decisions and the moments that happen behind closed doors. Would they still be there if they knew all of that?

 

If the answer isn’t yes, that’s not a communication problem; it’s a trust problem.

 

 

We told them it’d be hard

We announced our partnership with Circle K recently. They’re a global company, and they spent two years running a procurement process to find the right infrastructure partner for their payment programmes across the Nordics. When they looked at the responses, every finalist was ticking the same boxes and making broadly the same promises.

 

What stood out about our conversation wasn’t our technology pitch. It was that I went into their board and told them the migration would be hard. That there would be no easy path. That I would hold them accountable for the difficult decisions they’d need to make along the way, because their decisions would be as important as ours to the outcome.

 

Nobody else did that. And they chose us because of it.

 

I’m not sharing that story to claim some exceptional negotiating tactic. I’m sharing it because I think it illustrates something that a lot of companies find genuinely difficult. Trust isn’t built on easy promises; it’s built on honest ones.

 

 

The algorithm didn’t make that decision; you did

This is also where the AI conversation needs to become more honest than it currently is.

 

Most of the discussion is about what AI can do: recognise patterns, improve efficiency, accelerate decisions. I agree with all of that. We use AI, and it makes us better at what we do.

 

But there’s a temptation that comes with it that deserves more direct attention: the temptation to distribute accountability. To build systems that make decisions and then, when something goes wrong, point at the algorithm.

 

In financial services, that can’t happen. When a customer is affected by a wrong decision, they don’t care whether a human or a model made it. They care whether the company behind the service is going to stand up, be transparent about what happened, and make it right. You can’t outsource accountability to AI. The responsibility sits with you, always.

 

Trust is built between humans. Values are human. Culture is human. AI can support all of those things, but it cannot carry them. The moment a company tries to automate accountability, to build systems that diffuse responsibility rather than clarify it, the trust contract breaks. And in a regulated industry built on other people’s money, that contract is everything.

 

 

The trust test 

I was asked at Web Summit Rio what practical action a founder or leader could take this week to build more trust in their organisation. My answer was this:

 

Think about a decision a customer, partner, investor, or employee has recently made for your company. Would they make the same decision if they had all the facts that you have?

 

It’s a useful diagnostic. Not because the answer should always be yes. Sometimes you hold information that’s commercially sensitive, or context that takes time to share properly. But if the honest answer is no, and the reason is that you’ve been less than transparent, or you’ve overpromised, or you’ve let the gap between what you say and what you do quietly widen, then you have a trust issue. And no amount of technology investment will close it.

 

 

Build for trust

Trust isn’t written on a website. It isn’t stated in a values document. It’s built through consistent behaviour, over time, in the moments when it would have been easier to take a different path.

 

That’s what makes it hard. It’s also what makes it worth building.

 

In a world where AI is making everything else increasingly easy to replicate, the companies that will be standing a decade from now won’t be the ones that had the best technology at any given moment. They’ll be the ones that were trusted. By their customers. By their partners. By their teams.

 

You have to earn that. And you have to keep earning it. There are no shortcuts, and no systems that will do it for you. In the end, trust is the only thing that lasts.

 


 

Denise Johansson is CEO and Co-founder of Enfuce

 

Main image courtesy of iStockPhoto.com and Worawut Prasuwan

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