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Trust as a Technical Capability - Why resilience starts long before things go wrong

Perspectives
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Copenhagen, February 3, 2026

In fast-moving organizations, we often focus on speed, innovation, and delivery.

Less often, we talk about what actually makes speed sustainable.

Infrastructure.

The systems, habits, and structures that carry pressure quietly—until they don’t.

The things you rarely notice when they work, but immediately depend on when they fail.

Over the past year, trust has quietly become one of the most important capabilities in modern organizations.

Not as a nice-to-have.

Not as a value written on a wall.

But as something that determines whether we can move fast and stay safe.

Whether we can scale AI responsibly.

Whether we can lead through complexity without losing coherence.

In February, many of these questions surface at the Munich Security Conference (February 13–15, 2026), where global conversations increasingly centre on cybersecurity, resilience, infrastructure, and responsibility.

And one thing is becoming clear:

Trust is no longer only cultural or relational.

Trust is structural.

Trust is operational.

Trust is technical.

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"In complex environments, trust isn’t created by how smart something looks. It’s created by how reliably it performs when things get messy."

Jakob Schou sitting on the stairs with his hands interlocked looking at the camera
Jakob Schou
CEO

Trust is what makes systems usable in real life

Most technology strategies still treat trust as something you get after delivery.

But in reality, trust is something you build—deliberately—through decisions, structures, and habits.

Because without trust:

• teams hesitate

• risk travels upward instead of being handled where the work happens

• people optimize for blame-avoidance instead of customer outcomes

• security becomes a checkbox instead of a mindset

• AI becomes impressive… but fragile

And what breaks first is not the platform.

It’s the organization’s ability to act with confidence.

Reliability beats cleverness

In complex environments, trust isn’t created by how smart something looks.

It’s created by how reliably it performs when things get messy.

When pressure rises.

When exceptions show up.

When reality refuses to behave like the pilot.

In other words:

Trust comes from reliability - not brilliance.

This is one of the biggest differences between organizations that scale responsibly and those that stay stuck in endless experimentation.

High reliability is not a mindset.

It’s a discipline.

What high-reliability organizations understand

Some of the clearest lessons on trust come from high-reliability environments—aviation, energy, and critical infrastructure.

Not because they are perfect.

But because failure is expensive, visible, and unacceptable.

They don’t build trust through charisma.

They build it through:

• clear ownership

• strong operational rhythm

• attention to detail

• shared language around risk

• continuous learning from small signals

It’s not glamorous work.

It’s hard work.

And it’s teamwork.

But it’s exactly what makes resilience possible.

The Nordic advantage: trust with accountability

In the Nordics, we often speak about trust as a cultural trait.

Low hierarchy.

High autonomy.

High honesty.

But the real strength is not informality.

The strength is that trust is paired with responsibility.

At Context&, we see again and again that trust scales when:

• accountability lives close to where decisions are made

• mandate matches expectation

• people have the psychological safety to raise issues early

• quality is protected even when speed is demanded

Psychological safety is not an HR topic.

It is a performance and security topic.

It determines whether experts speak up before risks become incidents.

Trust is what makes AI usable at scale

In January, I wrote that AI rarely fails because the technology is insufficient.

It fails because context is missing.

The same principle applies here:

AI amplifies what it is placed into.

If ownership is unclear, AI increases noise.

If quality is inconsistent, AI increases errors.

If governance is theatre, AI increases risk.

So, when organizations ask:

“Why isn’t this scaling?”

The answer is often not more pilots.

Not more PowerPoints.

But better foundations.

What we believe at Context&

Trust is not something we leave to chance.

We treat it as a capability you can build - through leadership, structure, and execution.

This is central to our Aspiration 2030:

To be the Nordic practice that helps organizations build real outcomes on the Microsoft platform—grounded in responsibility, resilience, and strong teams.

We start where trust actually lives:

In the messy intersection between people, decisions, and systems.

Because the future will demand speed.

But it will reward those who can move fast without losing reliability.

That’s what trust makes possible.

And that’s what we’re building—together.

In 2026, trust is not soft.

It’s infrastructure.

And it’s a competitive advantage.

For further information

Please contact:

Jakob Schou sitting on the stairs with his hands interlocked looking at the camera