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More Than Half of Companies Have Deployed AI Agents

More than half (51%) of companies are already leveraging AI agents, according to the PagerDuty Agentic AI Survey.

Agentic AI adoption is poised to accelerate faster than generative AI (GenAI) while reshaping automation and decision-making across industries. Companies are no longer just experimenting. The survey data shows that 94% of companies believe they will adopt agentic AI more quickly than GenAI, with 55% strongly agreeing that they will integrate it across their organizations at an accelerated pace. As businesses look to automate complex workflows and drive efficiency, agentic AI is emerging as the next phase of AI-driven transformation, offering faster deployment and deeper operational impact.

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Pagerduty

Key findings include:

Confidence in GenAI

The majority of respondents (63%) have fully integrated GenAI into their company. 73% of organizations in the UK and 69% in Australia lead the charge with 64% in the US not far behind. However, traction in Japan shows to be noticeably slower as only 44% of companies have fully integrated GenAI.

AI Maturity and Adoption

71% of companies that have fully implemented GenAI are far more likely to have already deployed agentic AI, compared to just 19% of companies that have yet to fully implement GenAI.

Strong Return on Investment (ROI) Expectations

62% of companies expect more than 100% ROI from agentic AI, with an average expected return of 171% on their investment. GenAI has already delivered strong financial results, with an average ROI of 152%.

Automating Workflows at Scale

52%, more than half, of companies expect agentic AI to automate or accelerate between 26% and 50% of their workloads, unlocking significant operational efficiencies.

Future Impact of AI

44% of business leaders expect agentic AI to have a greater overall impact than GenAI, while 40% believe the latter will prove more transformative, demonstrating that companies are divided on whether agentic AI will cause an industry shift similar to GenAI.

Lessons from GenAI Implementation

44% of business leaders cite rushed AI adoption without proper planning as the biggest challenge, which is one of the mistakes leaders hope to avoid repeating from their GenAI deployment. Cost control (40%), improved employee training (37%), and stronger data infrastructure (37%) were also among the top priorities for AI strategy refinement.

AI Investment Is Scaling Up

75% of organizations are investing $1 million or more in AI initiatives, reflecting a commitment to long-term AI-driven transformation, showcasing ongoing interest in AI implementation leading to increasing budget allocations.

"Leaders need to provide tangible, quantifiable benefits from their AI deployments if they want to justify the investment," said Eric Johnson, CIO at PagerDuty. "PagerDuty's latest survey data illustrates how strongly organizations believe agentic AI will help unlock real value from AI and automation, as 62% of survey respondents anticipate triple-digit ROI. Companies that successfully integrate agentic AI into their operations can expect increased efficiency gains by automating complexity and accelerating decision-making."

Many organizations learned firsthand that insufficient training hindered GenAI adoption and are taking a different approach with agentic AI. Every company surveyed has various plans to implement agentic AI training, with 61% prioritizing organization-wide seminars or structured initiatives.

Additionally, 56% of organizations will offer an external course to their employees, while 52% plan to host official office hours and formal internal mentorship programs to ensure employees can effectively integrate and leverage AI agents in their workflows.

Methodology: The survey of 1,000 IT and business executives across the US, UK, Australia, and Japan was conducted by Wakefield Research.

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More Than Half of Companies Have Deployed AI Agents

More than half (51%) of companies are already leveraging AI agents, according to the PagerDuty Agentic AI Survey.

Agentic AI adoption is poised to accelerate faster than generative AI (GenAI) while reshaping automation and decision-making across industries. Companies are no longer just experimenting. The survey data shows that 94% of companies believe they will adopt agentic AI more quickly than GenAI, with 55% strongly agreeing that they will integrate it across their organizations at an accelerated pace. As businesses look to automate complex workflows and drive efficiency, agentic AI is emerging as the next phase of AI-driven transformation, offering faster deployment and deeper operational impact.

Image
Pagerduty

Key findings include:

Confidence in GenAI

The majority of respondents (63%) have fully integrated GenAI into their company. 73% of organizations in the UK and 69% in Australia lead the charge with 64% in the US not far behind. However, traction in Japan shows to be noticeably slower as only 44% of companies have fully integrated GenAI.

AI Maturity and Adoption

71% of companies that have fully implemented GenAI are far more likely to have already deployed agentic AI, compared to just 19% of companies that have yet to fully implement GenAI.

Strong Return on Investment (ROI) Expectations

62% of companies expect more than 100% ROI from agentic AI, with an average expected return of 171% on their investment. GenAI has already delivered strong financial results, with an average ROI of 152%.

Automating Workflows at Scale

52%, more than half, of companies expect agentic AI to automate or accelerate between 26% and 50% of their workloads, unlocking significant operational efficiencies.

Future Impact of AI

44% of business leaders expect agentic AI to have a greater overall impact than GenAI, while 40% believe the latter will prove more transformative, demonstrating that companies are divided on whether agentic AI will cause an industry shift similar to GenAI.

Lessons from GenAI Implementation

44% of business leaders cite rushed AI adoption without proper planning as the biggest challenge, which is one of the mistakes leaders hope to avoid repeating from their GenAI deployment. Cost control (40%), improved employee training (37%), and stronger data infrastructure (37%) were also among the top priorities for AI strategy refinement.

AI Investment Is Scaling Up

75% of organizations are investing $1 million or more in AI initiatives, reflecting a commitment to long-term AI-driven transformation, showcasing ongoing interest in AI implementation leading to increasing budget allocations.

"Leaders need to provide tangible, quantifiable benefits from their AI deployments if they want to justify the investment," said Eric Johnson, CIO at PagerDuty. "PagerDuty's latest survey data illustrates how strongly organizations believe agentic AI will help unlock real value from AI and automation, as 62% of survey respondents anticipate triple-digit ROI. Companies that successfully integrate agentic AI into their operations can expect increased efficiency gains by automating complexity and accelerating decision-making."

Many organizations learned firsthand that insufficient training hindered GenAI adoption and are taking a different approach with agentic AI. Every company surveyed has various plans to implement agentic AI training, with 61% prioritizing organization-wide seminars or structured initiatives.

Additionally, 56% of organizations will offer an external course to their employees, while 52% plan to host official office hours and formal internal mentorship programs to ensure employees can effectively integrate and leverage AI agents in their workflows.

Methodology: The survey of 1,000 IT and business executives across the US, UK, Australia, and Japan was conducted by Wakefield Research.

Hot Topics

The Latest

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...