The Survival of the Adopters
What One Role Covers#
On a typical day, Audur reviews financial reports across multiple currencies in the morning, coordinates a hardware shipment in the afternoon, and prepares materials for a partner meeting by evening. The next day might start with HR, move into contract administration, and end with regulatory filings.
"Two years ago, each of those tasks belonged to a different specialist in a different department," she says. "Not because they were harder. Because the coordination overhead made it impractical for one person to hold all the context."
Then the arithmetic changed.
Over the last twelve months, the tools crossed a threshold. "Financial reconciliation across multiple currencies and jurisdictions used to be hours of manual work," she says. "Today, I describe what I need and the tools produce it; structured, accurate, ready for review. The task didn't disappear. The time it takes disappeared."
The same pattern applies everywhere: document preparation, contract administration, regulatory filings, reporting, coordination across time zones. The work still requires human judgment at the decision points. But the assembly, the formatting, the preparation that used to consume most of the time? AI handles it.
"The routine work was never the valuable part," Audur says. "The valuable part was always judgment. Understanding what a financial number means for the business. Knowing which contract clause matters for a specific partner. Recognising when a shipping timeline puts an installation at risk. That judgment didn't change. But now I've got the time to apply it across every domain, because the routine isn't blocking me."
AI didn't eliminate operational work. It eliminated the routine layer (filing, formatting, reconciling, preparing) that consumed most of the time. What remains is judgment, relationships, and decisions. One person with the right tools and context can handle those across an entire company.
Adapt or Fall Behind#
Audur sees a pattern playing out across industries.
"It's survival of the fittest, in real time," she says. "The tools for running a business changed more in the last year than in the previous decade. Companies that adopt them will operate at a level traditional organisations can't match. Companies that don't will find themselves maintaining departments for work that one person with the right tools already handles better."
She isn't speaking theoretically.
"I'm doing it. Every day. Work that any traditional company would distribute across multiple departments, with reporting lines and coordination meetings and approval chains. I don't have those layers. I have AI tools, clear priorities, and the authority to make decisions across every operational domain."
Audur Erlingsdottir
Chief Operating Officer
“It's survival of the fittest, playing out in real time. The organisations that adopt fastest will operate at a level the rest can't match.”
The pressure is real. Some companies respond by hiring AI specialists, creating new departments to manage the tools meant to reduce complexity. Others mandate adoption through top-down policies that produce checkbox compliance. Neither works.
"The companies that'll thrive are the ones where adoption is organic," she says. "The operations person discovering that the tools now handle what used to consume their day. That's genuine adoption. That's how you survive."
The Compound Effect#
Every workflow Audur builds with AI stays built. Every automated process stays automated. The capability compounds.
"When I solve a problem once (structuring a financial report for a new jurisdiction, coordinating hardware shipments with a new logistics partner, preparing a regulatory filing for a new market) that solution persists," she says. "Next time, the workflow is already there. Over months, this compounds into operational capability that a large team would take years to build manually."
OZ started early. While most companies are just beginning to experiment, OZ has been building AI-native workflows long enough that the compounding is visible.
"We didn't predict exactly how the tools would evolve," she says. "But the philosophy was already in the culture. OZ has always operated with a small team doing work our industry assumes requires much larger organisations. AI tools didn't create that culture. They accelerated it. And acceleration compounds."
How It Changes the Team#
When every person spans multiple disciplines, the dynamics shift.
"People grow faster here because they're exposed to more," Audur says. "In a departmental structure, a finance person does finance. An HR person does HR. Here, people span domains. They see how a financial decision affects a deployment schedule, which affects a partner relationship, which affects a commercial outcome. That cross-domain visibility makes better decision-makers."
It changes meetings too. When one person holds operational context across finance, HR, supply chain, and partner relations, coordination meetings become unnecessary.
"I don't need a meeting to align finance with logistics," she says. "I am both. Decisions happen at the speed of judgment, not the speed of scheduling."
When AI handles the routine and one person spans the operational scope, coordination overhead (meetings, status updates, approval chains) disappears. Decisions move at the speed of judgment, not the speed of scheduling. That's the structural advantage of a small, AI-native team: fewer layers between information and action.
"I'm proud to work at a company that started this journey before most companies knew there was a journey to start. Probably one of the first to build operations around AI as a core capability, not an add-on. That head start compounds. Every workflow we built six months ago has been running and improving for six months. The gap widens every month."
"Survival of the fittest was always about adaptation, not strength. The environment changed; dramatically, suddenly. The organisations that adopt will operate at a scale and speed the others simply can't match. That isn't a prediction. It's what I see every day."