Digital twins and the rise of the super team

CULTURE & CODE

By Joey Briones

What if, even after an employee leaves, a digital version of their knowledge — their reasoning, their insights, their way of solving problems — could stay behind to keep helping the team?

That’s no longer science fiction. It’s Viven, the new AI venture from the co-founders of Eightfold, and it represents the next frontier in the evolution of work: Digital Twins.

From digital tools to digital twins

For years, AI in the workplace meant automation — tools that processed data faster, handled routine tasks, or answered basic questions. But the latest wave of innovation is going beyond that.

Viven is pioneering the creation of AI digital twins: intelligent replicas of employees that preserve their professional memory, communication patterns, and decision logic.

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These digital counterparts can be queried even when the real person is unavailable — offering continuity of thought and preserving collective intelligence.

In simple terms, AI is learning not just what we do, but how we think.

It’s the birth of a new workplace species — not man or machine, but a hybrid ecosystem where human and digital intelligence operate together as Super Teams.

Super teams: The new operating model of work

As Deloitte described it, Super Teams are “teams of humans and machines working together to solve problems, innovate, and create value at scale.”

They are not about replacement — they’re about amplification. AI contributes speed, memory, and scale; humans contribute empathy, creativity, and moral judgment.

But now, with digital twins, this model takes an evolutionary leap:

• Knowledge no longer retires when a person does.
• Expertise no longer disappears when someone logs off.
• Learning becomes continuous, collective, and permanent.

The organization becomes, in effect, a living system of intelligence — where every thought, insight, and decision becomes part of a shared neural network.

The leadership imperative

The rise of digital twins and Super Teams doesn’t eliminate leadership. It redefines it.

Leaders are no longer managing people in isolation; they are managing systems of intelligence — networks of humans and algorithms that co-create value together.

This demands a profound shift in management mindset:

1. From command to orchestration

• Leadership now means coordinating between human intuition and machine precision.
• The leader’s job is to design workflows where AI supports human strength — not replaces it.

2. From control to continuity

• Leaders must ensure that AI systems like digital twins preserve context, ethics, and intent — not just information.
• Continuity without conscience is chaos.

3. From supervision to sense-making

• As machines handle the data, leaders must handle the meaning.
• The new skill isn’t reading reports — it’s interpreting insight, asking better questions, and shaping better outcomes.

Ethical stewardship in the age of digital presence

There’s something deeply human about the idea of a digital twin.
It’s a reflection — not of who we are, but of what we leave behind.

Handled poorly, it could blur boundaries between identity and impersonation.
Handled wisely, it could become one of humanity’s greatest tools for progress — preserving organizational memory and accelerating human learning.

That’s why leadership matters more than ever.

In this new age of digital continuity, leaders must act as ethical architects — ensuring that technology expands human dignity, not diminishes it. They must create cultures where AI systems reflect our best values, not our biases.

Because in a world where our digital selves may one day outlive us, what we teach them becomes our true legacy.

The next frontier

We are entering a workplace where intelligence never sleeps.Where human creativity, AI cognition, and digital memory intertwine to create something greater than either could achieve alone.

This is not the end of human work.

It’s the evolution of human purpose — a moment where leadership transforms from managing effort to curating intelligence.

So the question now is not whether AI will change work.

It already has.

The real question is: “Are our leaders ready to manage not just people, but the systems of intelligence that people and AI will soon become?”

Because the future of work won’t be built by humans alone.

It will be built by Super Teams, guided by human leaders wise enough to keep the system human.