Agentic AI playbook

Access primary research from 100+ senior AI leaders on enterprise agentic AI strategy and implementation. 

Report overview: a tactical guide to agentic AI adoption

The GLG Agentic AI Playbook doesn’t just identify the problems; it gives you a framework to help your leadership move from ambition to action.

Navigate your agentic AI strategy with GLG

In a world increasingly driven by automated agents, get trusted human expertise from leading agentic AI experts who have built, deployed, and governed these systems.

Leading agentic implementation expertise

Navigate technical hurdles by connecting directly with former CTOs, CDOs, and AI architects who have scaled these systems at Fortune 500 companies. 

Customized vendor & infrastructure benchmarking

Utilize targeted B2B surveys to evaluate the sprawling agentic AI ecosystem. Compare platform capabilities, assess legacy system integration requirements, and ensure vendor infrastructure meets the high data-privacy standards.

End-to-end support for your AI strategy

Agentic AI isn’t just a technical shift; it’s an organizational one. Access the specific depth required to scale safely, from HR specialists redesigning workflows to data governance leaders securing sensitive customer information.

Agentic AI implementation FAQs

What are the biggest challenges to implementing agentic AI in 2026?

According to our report, implementation is often stalled by two primary concerns:

  • Accuracy & reliability: 71% of senior leaders are concerned about erroneous outputs or decisions made by autonomous agents.
  • Data security: 65% of respondents worry about agents misusing or inappropriately accessing sensitive data.

Download the report for a step-by-step playbook to mitigate these risks through improved process discipline and governance.

While the hype is high, our research found that only 46% of organizations currently have at least one agentic AI solution in live production. A major roadblock is “leadership dissonance”—more than half of respondents noted that while their leaders publicly praise the technology, they struggle to articulate a specific, clear business need for it.

The report outlines four critical pillars for successful operationalization:

  • Process discipline: Identifying exactly where an agent adds value versus where it adds noise.

  • Data integration & governance: Solving the 65% “security gap” by establishing strict data access protocols.

  • Cross-functional collaboration: Aligning IT, security, and business units to ensure the agent serves the end-user effectively.

  • Operationalization: Moving beyond “one-off” experiments to a scalable framework.

Not sure where to get started? Connect directly with leading voices in agentic AI through a GLG expert call. Learn more about some of our agentic experts.

The research shows we are at an “inflection point.” While many organizations are hitting early pitfalls, the report highlights that “forward-thinking” leaders are now moving away from simple chatbots toward workflow-integrated agents. Success in 2026 depends on leveraging “trusted human expertise” to guide the autonomous decision-making process.

While generative AI focuses on content creation and responses, our report defines agentic AI by its ability to act within a workflow. It focuses on the technology’s “transformative value” in executing multi-step tasks autonomously, which requires a much higher degree of data governance and process mapping than standard GenAI tools.

Yes. GLG connects you with independent experts who have used or implemented specific AI platforms, providing unbiased “user-perspective” insights that help you avoid costly missteps.

Stop experimenting. Start executing. 

Download the GLG Agentic AI Playbook to bridge the gap between AI potential and proven business ROI.