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Research shows that companies are increasing investments while cautiously scaling up until reliability is proven in production.<\/em><\/p>\n THE\u00a0Dynatrace<\/b>, a leading platform for observability based on Artificial Intelligence (AI), announces the \u201c<\/span>The Pulse of Agentic AI 2026<\/a><\/u>\u201d\u201d, a groundbreaking global study focused on how observability and reliability determine the successful operationalization of agentic AI. The research, involving 919 senior leaders worldwide responsible for implementing agentic AI, reveals that companies are not hesitating because they doubt Artificial Intelligence, but because they are still unable to safely govern, validate, or scale autonomous systems.<\/p>\n A structural change: reliability as a determining factor.<\/b><\/p>\n The research found that approximately 50% of the projects are in the proof-of-concept (PoC) or pilot phase. Adoption is still in its early stages, but growing rapidly, with 26% of organizations having 11 or more projects. As organizations move beyond experimentation and into large-scale implementation, they increasingly seek platforms that are reliable, secure, and have proven effectiveness.<\/p>\n This shift is reflected in both ambition and execution, with 74% expecting budgets to increase again next year. These findings point to a structural inflection point where reliability, resilience, governance, and real-time insights define companies' readiness for agentic AI.<\/p>\n Key findings of the report:<\/p>\n \u2013 Almost half (48%) of the senior global leaders surveyed foresee budget increases of at least US$ 2 million, suggesting that investments are still prudent.<\/p>\n \u2013 AI agents are most commonly deployed in IT and DevOps operations (72%), followed by software engineering (56%) and customer support (51%).<\/p>\n \u2013 Among those interviewed, business leaders state that improving decision-making with real-time insights is the top priority (51%) when implementing agent AI, closely followed by improving system performance and reliability (50%) and improving internal efficiency to reduce operating costs (50%).<\/p>\n \u2013 The highest expected ROI for agency AI projects is in ITOps\/systems monitoring (44%), cybersecurity (27%), and data processing and reporting (25%).<\/p>\n \u2013 The two main barriers to bringing agentic AI to production at this time are concerns about security, privacy or compliance (52%) and the technical challenges of managing and monitoring agents at scale (51%), followed by a shortage of qualified personnel or training (44%).<\/p>\n Trust and human supervision<\/b><\/p>\n Organizations are signaling that human guidance remains an important part of their agentic AI strategy, even as they move toward greater autonomy. The report shows that leaders expect 50\/50 collaboration between humans and AI for IT applications and routine customer support, and 60\/40 collaboration between humans and AI for business applications, signaling that human judgment guides the system in setting goals, establishing boundaries, and ensuring accountability.<\/p>\n Other findings include:<\/p>\n \u2013 Although more than half (64%) of organizations use a combination of autonomous and human-supervised agents, 69% of decisions based on agentic AI are still verified by humans, and 87% of organizations are actively developing or implementing agents that require human supervision.<\/p>\n \u2013 Only 13% of organizations use fully autonomous agents, and only 23% rely exclusively on agents supervised by humans.<\/p>\n The main validation methods include data quality checks (50%), human review of results (outputs<\/i>) of the agents (47%) and monitoring of deviations or anomalies (41%).<\/p>\n \u2013 44% still uses manual methods to review communication flows between AI agents, highlighting the need for more automated and governed oversight mechanisms. Autonomy.<\/p>\n \u201cOrganizations aren\u2019t slowing adoption because they question the value of AI, but because the secure scalability of autonomous systems requires confidence that these systems will behave reliably and as expected under real-world conditions,\u201d says Alois Reitbauer, Chief Technology Strategist at Dynatrace. \u201cWith most companies spending millions of dollars annually and planning further budget increases, agentive AI is becoming a central part of digital operations. At the same time, data shows a clear shift underway. While human oversight remains essential today, organizations are increasingly preparing for more autonomous, AI-driven decision-making. The focus now is on building the operational trust and reliability needed to responsibly scale agentive AI.\u201d<\/p>\n Observability enables trust and scale for agentic AI.<\/b><\/p>\n As organizations scale agentic AI beyond pilot projects, observability is the crucial intelligence layer that helps build trust by providing visibility across all stages of the agentic AI lifecycle, from development and implementation to operationalization. The report found that observability is already used throughout the lifecycle, with the highest adoption during implementation (69%), followed by operationalization (57%) and development (54%), highlighting its role as a fundamental capability as agentic AI moves into production.<\/p>\n Furthermore, the report found that:<\/p>\n Nearly 70% of the organizations surveyed already use observability during the implementation of agentic AI to gain real-time visibility into agent behavior, system performance, and decision-making in production environments.<\/p>\n \u2013 50% uses agentive AI for internal and external use cases, 33% for internal use only, and 18% for external use only.<\/p>\n \u2013 50% have agency AI projects in production for limited use cases, 44% have projects in broad adoption in selected departments, and 23% have projects in mature integration across the enterprise.<\/p>\n \u201cObservability is a vital component of a successful agentic AI strategy,\u201d Reitbauer continues. \u201cDynatrace\u2019s AI Center of Excellence (AI CoE) works with many of our largest clients, and as organizations seek greater autonomy, they need real-time visibility into how AI agents behave, interact, and make decisions. Observability not only helps teams understand performance and outcomes, but also provides the transparency and trust needed to scale agentic AI responsibly and with proper oversight.\u201d<\/p>\n Download the full report at \u201cThe Pulse of Agentic AI 2026<\/a><\/u><\/b>:<\/a><\/u>\u00a0Balancing innovation with control from pilot to production\u201d.<\/p>\n Methodology<\/b><\/p>\n This report is based on a global survey of 919 senior leaders and decision-makers directly involved in or responsible for the development and implementation of agentic AI at large companies with annual revenue of US$$ 100 million or more. It was conducted and analyzed by Y2 Analytics, a Qualtrics partner, on behalf of Dynatrace, during November and December 2025. The sample included 206 respondents in the United States, 85 in Latin America, 380 in Europe, 81 in the Middle East, and 196 in Asia-Pacific.<\/p>\n Additional resources<\/b><\/p>\n \u2013\u00a0Autonomous operations reach a tipping point: New report on agency AI reveals what is driving (and blocking) scalability.<\/a><\/u><\/p>\n About Dynatrace<\/b><\/p>\n Dynatrace is advancing observability for today's digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their businesses forward. To learn more about how Dynatrace can help businesses, visit [website address - not provided in the original text].\u00a0www.dynatrace.com<\/a><\/u>, visit our\u00a0blog<\/a><\/u>\u00a0and follow us on\u00a0LinkedIn<\/a><\/u>no<\/a><\/u>\u00a0and in X\u00a0@dynatrace<\/a><\/u>. To learn how you can simplify the cloud and maximize the impact of digital teams,\u00a0take a free 15-day trial<\/a><\/u>.<\/p>\n Dynatrace and the Dynatrace logo are registered trademarks of the Dynatrace, Inc. group of companies. All other trademarks are the property of their respective owners. \u00a9 2025 Dynatrace LLC.<\/i><\/p>\n Notice Regarding Forward-Looking Statements<\/b>\u202f\u202f\u202f<\/b><\/p>\n This press release includes certain \u201cforward-looking statements\u201d within the meaning of the Private Securities Litigation Reform Act of 1995, including statements about Dynatrace\u2019s capabilities and platform and the current and expected future benefits to organizations from using the Dynatrace platform. These forward-looking statements include all statements that are not historical facts and statements identified by words such as \u201cwill,\u201d \u201cexpects,\u201d \u201canticipates,\u201d \u201cintends,\u201d \u201cplans,\u201d \u201cbelieves,\u201d \u201cseeks,\u201d \u201cestimates,\u201d and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on information currently available to us and assumptions we have made. While we believe that our plans, intentions, expectations, strategies, and prospects, as reflected or suggested by these forward-looking statements, are reasonable, we cannot guarantee that such plans, intentions, expectations, or strategies will be realized or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors beyond our control, including the risks described under the heading \u201cRisk Factors\u201d in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and other documents filed with the SEC. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or other factors.<\/p>","protected":false},"excerpt":{"rendered":" Pesquisa mostra que as empresas est\u00e3o aumentando os investimentos enquanto escalam com cautela at\u00e9 que a confiabilidade seja comprovada na produ\u00e7\u00e3o A\u00a0Dynatrace, plataforma l\u00edder em\u00a0observabilidade\u00a0baseada em Intelig\u00eancia Artificial (IA), divulga o \u201cThe Pulse of Agentic AI 2026\u201d, um estudo global in\u00e9dito focado em como a observabilidade e a confiabilidade determinam a operacionaliza\u00e7\u00e3o bem-sucedida da IA […]<\/p>\n","protected":false},"author":12,"featured_media":100799,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[39,19],"tags":[9146,9145,9147],"class_list":["post-100798","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-coluna-4","category-ultimas-noticias","tag-ponto-de-inflexao-da-ia-agentica","tag-relatorio-global-da-dynatrace","tag-the-pulse-of-agentic-ai-2026"],"acf":[],"yoast_head":"\n