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Agentic AI Edge

Supercharge Growth & Innovation With Agentic AI

AI agents will soon be mainstream. But unlocking their full potential requires more than tech alone — it demands strategic implementation that fuses traditional analytics and machine learning with agentic capabilities, along with enterprise-wide deployment and robust governance. With expert insights and independent research, unlock the blueprint to agentic AI now.

Get Insights From Economist Impact

25% of Enterprises Using GenAI Are Expected to Deploy AI Agents in 2025

This number is expected to grow to 50% by 2027.¹

The organizations that succeed with AI agents are the ones that combine the power of traditional analytics and machine learning with agentic capabilities and do so in a unified way that seamlessly integrates analytics, models, and agents.

¹Deloitte Global’s 2025 Predictions Report: Generative AI

“Industrial-grade AI differs from consumer AI because we have to fulfill rigorous requirements and standards to ensure it is trustworthy, secure, and robust. When you talk about agentic, where AI is talking to AI, this is even more relevant.”

Laura Engelhardt

Head of Strategy, Foundational Technologies Unit, Siemens

“Most senior leaders we have surveyed are citing capability gaps in their data infrastructure as the primary barrier to agentic and enterprise AI adoption.”

Joe Depa

Global Chief Innovation Officer, EY

“There are two paths we’re seeing in agentic adoption. The first and most common is the straight automation of specific tasks, but it doesn’t reimagine the process. The less traveled path is seeing agentic AI as a chance to ask deeper questions.”

Jim Rowan

Head of AI, Deloitte

“Agentic AI is capable of making decisions, taking actions, personalizing and adapting to the situation based on the context, in contrast to RPA, which is rule-driven, syntax-driven, and requires a lot of customization and pre-programming for specific use cases.”

Subhabrata Mukherjee

Co-Founder & Chief Scientific Officer, Hippocratic AI

Get Ahead in the Race to Adopt Agentic AI Systems

Research Insights From Economist Impact

From Automation to Autonomy

AI is entering its third wave — agents that reason, plan, and execute across formats. These systems go far beyond rule-based bots and conventional automation tools.

See p. 8

AI Agents Go Beyond Efficiency

Agentic AI delivers gains not only in productivity but also in revenue, customer experience, and product innovation. It’s about transformation, not just cost-cutting.

See p. 10

Governance Is the Gatekeeper

Enterprises must embrace responsible AI practices — like adversarial testing, observability, and oversight — to manage risk and ensure compliance in autonomous environments.

See p. 14

The Agent-Data Flywheel

High-quality, interoperable data (alongside existing analytics and machine learning efforts) fuels agentic AI. When connected across silos, agents can act across ERP, CRM, and IT operations to unlock strategic advantage at scale.

See p. 16

Gain an Agentic AI Edge