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The Future of Business: 3 AI Disruptions in Organizational Behavior


Today, businesses have 2 choices: either become a disruptor or be disrupted.

AI will change the way we do business.

Today, let’s go over 3 major AI-driven disruptions in organizational behavior that every C-suite executive should take into consideration.

Let’s get started,

1. The Transition to AI Driven Decision Making

In my 20 year experience as a global IT manager, I saw that key decisions have always hinged on managerial approval.

This was the era where experience dictated decision-making, and the final nod came from the top.

Now, AI will take over that role and maybe, even do it better.

Decision-making is now decentralized.

It’s not just about seniority anymore.

AI will equip frontline operations to make decisions, sometimes without needing validation from higher-ups.

For instance, in the insurance sector, AI has revolutionized claim approvals.

Where previously all claims needed a managerial green light, AI systems can now autonomously approve claims within set parameters.

If they’re beyond these criteria or parameters, then it gets escalated to the next organizational layer.

By establishing an AI driven, but people centric culture, this seamless integration of AI will create accelerated delivery and scalable value creation.

2. Cross-Functional Collaboration over Departmental Silos

Traditionally, work was compartmentalized, with collaboration often restricted within teams or departments.

With AI initiatives, companies can thrive on cross functional teamwork, often necessitating inputs from a broad spectrum of roles—business experts, end-users, data scientists, and more.

It’s about an ecosystem-driven collaboration, ensuring that AI solutions address overarching business needs rather than isolated departmental challenges.

AI’s most impactful implementations always emerge from a harmonious blend of human and machine collaboration.

As businesses allocate budgets for AI, it’s imperative to plan both for system development and its subsequent adoption, breaking away from the confines of departmental silos.

3. From Rigid Structures to Agile & Adaptable Approaches

Companies often hesitated to adopt new tech, waiting for proven value or addressing ethical concerns.

Embracing AI doesn’t mean diving headfirst into the unknown.

Instead, adopt an agile mindset.

Start with a compact team. Almost, like a startup within your business.

The ‘two-pizza team’ analogy from Amazon comes to mind, “We try to create teams that are no larger than can be fed by two pizzas,” said Bezos. “We call that the two-pizza team rule.”

Pilot projects, gather feedback, refine, and then scale.

It’s about continuous learning and adaptation, paving the way for AI’s full potential.

As AI continues to reshape the business landscape, it’s not just about integrating new technologies—it’s about redefining organizational behaviors and cultures.

AI disruptions are a wake up call for leaders to embrace change, prioritize adaptability, and be future-ready.

If you’re keen on diving deeper and preparing your organization for an AI-augmented future, reach out, and let’s chart the way forward together.


Peter Ivanov helps Managers to define AI Use cases, plan implementation  and unleash immense business value with AI!

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