Agentic AI enterprise adoption

Navigating enterprise agentification

How would you recreate your organization in light of agentic AI? Getting started with AI agents requires asking this question and taking gradual steps toward transformation. Discover the path to agentification and the cost, workforce, and risk factors you’ll face along the way.

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Key takeaways about enterprise agentification

Agentic AI is revolutionizing workflows by enabling autonomous decision-making and task execution, freeing human talent to focus on strategic and innovative activities.
Agentic AI enterprise adoption is driving significant transformation, enhancing efficiency, productivity, and the ability to scale operations dynamically.
Organizations must adopt a phased approach to agentification, balancing gradual implementation with bold experimentation to fully realize the potential of digital labor.
Effective agentic AI risk management and workforce engagement are critical to successful deployment—ensuring secure, ethical, and sustainable transformation.

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The imperative for agentic AI enterprise adoption

Organizations across industries are at the dawn of a step change in how work is accomplished: agentic AI. The scale of opportunity and disruption necessitates a reimagination of the enterprise, and the race to agentification has begun.

80%

Of automation leaders are expected to accelerate AI agent investments over 2025¹

1/3

Of enterprise software applications were forecast to include agentic capabilities by 2028²

$103.6B

Amount the global agentic AI market is expected to reach by 2032³

A path to agentification: Gradual implementation and bold experimentation

Agentic systems range from semiautonomous to fully autonomous solutions that act independently. Organizations should take thoughtful steps toward full autonomy to prepare for more expansive transformation to come, using an incremental approach or a more radical one. Download the report for a deeper look at each one:

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Which agentification approach is right for my organization?

An incremental approach to agentification may be right for some enterprises and functions, but you could end up merely improving workflows instead of reimagining them. In other cases, a radical approach with bold experimentation and deployment of high-value differentiating tasks could accelerate agentification.

Factors of successful agentic AI enterprise adoption

Whether organizations take an incremental, radical, or all-of-the-above approach, there are new factors to consider, including costs, workforce adoption, agentic AI risk management and more.

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Assessing cost and speed to value

New compute and technology costs will arise, but they may be offset by savings and productivity gains via reimagining processes.

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Fostering change and adoption in the workforce

Humans are necessary for agentification. The organization must articulate how the shift in work impacts and benefits employees.

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Agentic AI risk management

Agentification introduces new risks, requiring a holistic approach where humans play a larger role in oversight and dynamic auditing.

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Explore more from our AI agents series

Dive into our ongoing series to build your understanding of AI agents and multiagent systems and get tangible recommendations on how to move forward.

The rise of AI agents and collaborative automation

Learn about how AI agents can help you rewrite the rules of automation to unlock efficiency and value.

Prompting for action: Reshaping the future of work

Get a deeper look at how multiagent systems are transforming organizations and industries.

The cognitive leap: How to reimagine work with AI agents

Understand design principles and reference architectures underlying multiagent systems.

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Getting started with AI agents: A bold journey ahead

There are many entry points to the agentic journey, from strategic refreshes to M&As and reorgs. Yet, the true catalyst for agentification is a bold strategy and eagerness to change. Explore the road ahead, including ways to begin your own journey into the transformed future of work.

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