Forrestor Agentic AI Insights, Research Study Solutions | LTM
AI agents are moving from hype to the heart of enterprise value, but scaling stalls. Our AWS – Forrester study distills a blueprint; as an AWS Premier and Agentic AI Marketplace Launch Partner, we operationalize Gen AI at scale—unlocking productivity, resilience, and differentiation.
73% of leaders plan to engage technology partners to accelerate GenAI adoption, while 85% rely on cloud vendors to train or host models
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.
40% face legacy infrastructure and skills gaps—fragmented systems, processes, and people slow adoption.
Findings from 336 C‑suite leaders validate prioritizing data‑ready use cases, continuous upskilling, and Agentic AI to convert ambition into outcomes.
Overview
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, LTM has introduced a suite of agentic solutions designed for real-world impact.
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.
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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