A Roadmap to Driving Enterprise Value in an Agentic Future

A Forrester Consulting Research Study Commissioned By LTIMindtree and AWS

AI agents are no longer theoretical—they’re becoming integral to enterprise operations, reshaping business models, workforce dynamics, and competitive advantage. Yet, many organizations face persistent challenges in systems, processes, and talent that hinder their ability to scale generative AI (GenAI) effectively.

This study offers a strategic blueprint for decision-makers to overcome these hurdles by leveraging technology and consulting partnerships to navigate toward an Agentic AI future.

As an AWS Premier Partner and Launch Partner for the AWS Agentic AI Marketplace, LTIMindtree has introduced a suite of agentic solutions designed for real-world impact.

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Executive Summary

Two out of three organizations plan to increase their investment in GenAI. Yet, the same proportion has struggled to scale beyond pilot phases. Based on insights from 336 global C-suite executives, our latest study commissioned in collaboration with AWS and conducted by Forrester Consulting charts a clear path for enterprises to unlock the full potential of GenAI and Agentic AI.

To realize the promise of Agentic AI, leaders must prioritize collaboration with tech partners to build resilient and scalable strategies.

Key Findings

69%

Organizations are still at beginner or lower-intermediate levels of GenAI maturity, with many struggling to scale initiatives.

GenAI maturity continues to lag despite significant investments.

40%

Enterprises have legacy infrastructure, lack of skills and knowledge leading to transformation gaps in systems, processes, and people.

Fragmented foundations undermine organizations’ GenAI aspirations.

73%

Leaders plan to engage technology partners to accelerate GenAI adoption, while 85% relying on cloud vendors to train or host models - highlighting the critical role of collaboration.

Leverage tech and consulting partners strategically to navigate toward an agentic future.

65%

Decision-makers cite setbacks in GenAI rollout strategies, with efforts largely focused on internal efficiency use cases rather than delivering strategic advantages that drive differentiation.

The gap between GenAI’s ambitious goals and real-world execution underscores a critical challenge.

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Key Recommendations

Prioritizing use cases with solid data foundations should be a deliberate strategy for organizations

Focus on AI use cases where you can leverage existing data and where AI is essential for optimizing data operationalization.

Empower employees with GenAI expertise; continuous upskilling of the workforce is essential

With GenAI expertise in short supply, upskilling the workforce is no longer optional—it’s essential. Organizations must prioritize investment in comprehensive training to upskill employees to confidently use AI tools. This not only fosters a culture of innovation but also ensures enterprise-wide adoption that drives sustainable competitive advantage.

Accelerate partnerships with technology and consulting partners

Tech and consulting partners are crucial, they bring essential knowledge and skills to develop, deploy, and scale AI solutions. Their expertise helps organizations stay ahead with the constantly-evolving best practices and navigate the complexities of operationalizing AI.

Embrace Agentic AI for strategic advantage

Organizations that overlook the significance of agentic AI risk investing resources on rigid, non-agentic automation that are not equipped to deliver significant improvements in productivity, customer engagement, and strategic decisioning. Such organizations are more likely to fall behind their competitors and risk obsolescence.

“GenAI is redefining how enterprises think, decide, and deliver. To lead this transformation, organizations need bold leadership, empowered employees, and strategic partnerships. To leverage agentic AI, organizations who act decisively today will define tomorrow’s competitive landscape.

Success hinges on choosing use cases where data is rich and AI can optimize operations. While early efforts often rely on in-house capabilities, more enterprises are adopting packaged GenAI applications. Global System Integrators (GSIs) like LTIMindtree are accelerating this shift with industry expertise and ready-to-deploy solutions - enabling faster innovation, scalable transformation, and greater ROI.”

Deepak Khosla Vice President, AI LTIMindtree

“Agentic AI represents a transformative shift in enterprise technology. Unlike traditional AI that requires constant human oversight, these systems work independently to drive business value. AWS leads this evolution by connecting enterprises with trusted partners who deliver secure, production-grade solutions.

The growing adoption of autonomous AI operations signals a fundamental change in how businesses operate. Leaders who partner with AWS to implement agentic AI will gain competitive advantages in a market where specialized AI agents drive innovation and efficiency.”

Victor Rojo Principal Solutions Architect AWS