Latest news with #ForresterConsulting
Time of India
14 hours ago
- Business
- Time of India
Stop wasting AI on personal productivity: 60% of leaders pivot to agentic automation for real enterprise value
Automation Anywhere , the leader in Agentic Process Automation (APA), today released a new proprietary research report developed in collaboration with Forrester Consulting, revealing key barriers and breakthroughs shaping enterprise adoption of AI agents . The findings highlight the increasing momentum of AI agents across industries, as well as the implementation challenges organizations must address to realize their full potential. The study, based on a survey of global decision-makers overseeing enterprise-wide AI strategies, found that 60% of respondents believe automation platforms—especially those from RPA leaders like Automation Anywhere—are the most valuable foundation for managing AI-driven processes . This preference outpaces general-purpose AI providers such as OpenAI (ChatGPT) and Anthropic (Claude), as well as broader enterprise platforms like Microsoft Power Automate and Salesforce Einstein, highlighting the need for automation-native solutions purpose-built for process orchestration and scale. Additionally, 71% of respondents agreed that automation solutions should augment human capabilities rather than replace them—reinforcing the importance of keeping strategic decision-making in human hands. 'This research highlights a critical inflection point for enterprises,' said Mihir Shukla, CEO of Automation Anywhere. 'Leaders are clearly prioritizing AI-augmented workflows, recognizing the undeniable value of Agentic AI. The fact that a significant majority are specifically seeking these solutions from traditional RPA and task automation vendors underscores that deep process automation expertise is critical to scale adoption and unlock meaningful impact, accelerating the journey to the autonomous enterprise and paving the path to artificial general intelligence for work.' Key Insights from the Study:High interest meets practical hurdles With deep roots in automation and RPA, Automation Anywhere's Agentic Process Automation (APA) is purpose-built to overcome the key hurdles slowing AI agent adoption. While 74% of respondents recognize the promise of AI agents to surface insights from vast data sets, concerns around data privacy (66%), skillset gaps (63%), and integration complexity (61%) persist. APA is designed to balance autonomous execution with enterprise-grade governance and human oversight—making it possible to scale safely and effectively. Transformational opportunities across business functions Organizations are already piloting or implementing AI agents for internal employee support (53%) and customer service (48%). Many plan to extend these capabilities to broader business functions, to enterprise automation and organizational stewardship in the next two years. The potential value of AI agents for areas such as customer service, sales automation, and compliance received transformational value ratings exceeding eight out of ten on average. Businesses demand enterprise-grade AI automation platforms When evaluating platforms for building and deploying AI agents, 60% of respondents found intelligent automation platforms from RPA (Robotic Process Automation) and task automation vendors to be highly valuable for long-running processes. Organizations strongly prefer solutions capable of enterprise-grade integration, end-to-end process orchestration, and mature data security. Early adoption & transformational value Nearly 75% of leaders plan to pilot AI agents for customer support within the next year, with 71% eyeing research applications. Across all potential use cases, respondents expect transformational levels of value, underscoring strong confidence in AI agents' impact. Navigating the road ahead While challenges remain, enterprise leaders are clear-eyed and confident about the transformational potential of AI agents. By proactively addressing hurdles around security, cost, and talent, organizations can move beyond experimentation and begin scaling Agentic AI to drive measurable business outcomes.
Yahoo
2 days ago
- Business
- Yahoo
Stop Wasting AI on Personal Productivity: 60% of Leaders Pivot to Agentic Automation for Real Enterprise Value
New Research Confirms Costly Copilot Limitations, Driving Demand for Governed, Process-Centric AI Solutions That Accelerate Autonomy SAN JOSE, Calif., June 20, 2025 /PRNewswire/ -- Automation Anywhere, the leader in Agentic Process Automation (APA), today released a new proprietary research report developed in collaboration with Forrester Consulting, revealing key barriers and breakthroughs shaping enterprise adoption of AI agents. The findings highlight the increasing momentum of AI agents across industries, as well as the implementation challenges organizations must address to realize their full potential. The study, based on a survey of global decision-makers overseeing enterprise-wide AI strategies, found that 60% of respondents believe automation platforms—especially those from Robotic Process Automation (RPA) and AI leaders like Automation Anywhere—are the most valuable foundation for managing AI-driven processes. This preference outpaces general-purpose AI providers such as OpenAI (ChatGPT) and Anthropic (Claude), as well as broader enterprise platforms like Microsoft Power Automate and Salesforce Einstein, highlighting the need for automation-native solutions purpose-built for process orchestration and scale. Additionally, 71% of respondents agreed that automation solutions should augment human capabilities rather than replace them—reinforcing the importance of keeping strategic decision-making in human hands. "This research highlights a critical inflection point for enterprises," said Mihir Shukla, CEO of Automation Anywhere. "Leaders are clearly prioritizing AI-augmented workflows, recognizing the undeniable value of Agentic AI. The fact that a significant majority are specifically seeking these solutions from modern, cloud-native RPA and AI automation vendors underscores that deep process automation expertise is critical to scale adoption and unlock meaningful impact, accelerating the journey to the autonomous enterprise and paving the path to artificial general intelligence for work." Key Insights from the Study: High Interest Meets Practical Hurdles With deep roots in AI-powered automation and RPA, Automation Anywhere's APA system is purpose-built to overcome the key hurdles slowing AI agent adoption. While 74% of respondents recognize the promise of AI agents to surface insights from vast data sets, concerns around data privacy (66%), skillset gaps (63%), and integration complexity (61%) persist. APA is designed to balance autonomous execution with enterprise-grade governance and human oversight—making it possible to scale safely and effectively. Transformational Opportunities Across Business Functions Organizations are already piloting or implementing AI agents for internal employee support (53%) and customer service (48%). Many plan to extend these capabilities to broader business functions, to enterprise automation and organizational stewardship in the next two years. The potential value of AI agents for areas such as customer service, sales automation, and compliance received transformational value ratings exceeding eight out of ten on average. With the launch of our new Agentic Solutions, Automation Anywhere is helping organizations accelerate this shift—offering pre-built, enterprise-grade AI agents that go beyond pilots to deliver real business impact across customer service, finance, compliance, and more. Businesses Demand Enterprise-Grade AI Automation Platforms When evaluating platforms for building and deploying AI agents, 60% of respondents found intelligent automation platforms from RPA and AI automation vendors to be highly valuable for long-running processes. Organizations strongly prefer solutions capable of enterprise-grade integration, end-to-end process orchestration, and mature data security. Automation Anywhere is uniquely positioned to meet these enterprise demands with their APA system—offering intelligent, secure, and scalable AI agents that integrate seamlessly across systems, orchestrate complex, long-running processes end-to-end, and uphold the highest standards of data security and governance. Early Adoption & Transformational Value Nearly 75% of leaders plan to pilot AI agents for customer support within the next year, with 71% eyeing research applications. Across all potential use cases, respondents expect transformational levels of value, underscoring strong confidence in AI agents' impact. Navigating the Road Ahead While challenges remain, enterprise leaders are clear-eyed and confident about the transformational potential of AI agents. By proactively addressing hurdles around security, cost, and talent, organizations can move beyond experimentation and begin scaling Agentic AI to drive measurable business outcomes. Those that act decisively today will be best positioned to lead in the AI-powered enterprise of tomorrow. Automation Anywhere is helping enterprises accelerate this journey—offering a secure, cost-effective, and easy-to-adopt APA system with new pre-built Agentic Solutions and the agentic solutions workspace that reduce complexity, lower barriers to entry, and empower business users to confidently scale AI agents. About Automation Anywhere Automation Anywhere is the leader in Agentic Process Automation (APA) and guided by its vision to fuel the future of work by unleashing human potential through automation. Learn more at SOURCE Automation Anywhere, Inc. Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
Business Wire
3 days ago
- Business
- Business Wire
Total Economic Impact (TEI) Study Reveals 181% ROI and Payback in Less than 6 Months for Enterprises Using the SnapLogic Platform
SAN MATEO, Calif.--(BUSINESS WIRE)-- SnapLogic, the leader in generative integration, today announced the findings of a commissioned Total Economic Impact™ of SnapLogic study conducted by Forrester Consulting. The study revealed that a composite organization based on interviewed customers using the SnapLogic platform achieved an 181% return on investment (ROI) over three years, while achieving full payback from the platform in less than six months. To understand the benefits, costs, and risks of using SnapLogic's AI-driven integration platform, Forrester interviewed four decision-makers from large global enterprises with hands-on experience using SnapLogic. Forrester found that companies achieved notable results from their investments in SnapLogic, including streamlined data integration, reduced manual intervention, and enhanced productivity that delivered a combined $3.3 million in benefits to the business. Companies also reported unquantified benefits including increased revenue growth, enhanced business agility and time to market, improved data quality, improved scalability, and reduced risk with a single source of truth for data to ensure compliance with data policies. The quantifiable achievements from using SnapLogic include: Efficiency gains worth $1.7 million: User-friendly interface and automation capabilities boost productivity while enabling data engineers and developers to focus on higher-value activities, resulting in total integration efficiency improvements valued at $1.7 million. Technology cost savings of $1.4 million: Migrating to SnapLogic and decommissioning multiple, disparate legacy integration solutions reduces licensing costs and streamline integration processes, leading to substantial financial benefits. Technology support cost savings of $237,000: Continuous updates, automated patches, and a more resilient infrastructure enable IT teams to shift their focus from routine maintenance to higher-value, strategic initiatives that drive greater productivity and operational efficiency. As part of the study, a general manager of enterprise integration in the energy industry shared: 'Using SnapLogic, we have significantly reduced development time. Its adaptability allows us to implement integration services across all domains. Business users - even those in remote locations like plants - can develop integrations from their own applications to others. This democratization has optimized our resources and enhanced productivity.' In addition, a vice president of IT in the consumer goods industry stated: 'Our integration team is now 40% more efficient with SnapLogic, leveraging more resources internally and reducing the need for specialized, expensive developers.' 'This Forrester study reinforces what our customers tell us every day, that SnapLogic delivers transformative business value that goes beyond just technology cost savings,' said Dayle Hall, CMO of SnapLogic. 'With Forrester Consulting's recently revamped methodology, the 181% ROI and payback in under six months is a testament to the breadth and strength of the platform. SnapLogic empowers organizations to break free from outdated, inefficient integration tools and embrace a future of AI-powered, automated connectivity. From streamlining operations to unlocking new growth opportunities, our integration platform enables customers to move faster, work smarter, and drive measurable impact across the enterprise.' Read the complete 2025 Total Economic Impact™ of SnapLogic study here. About SnapLogic SnapLogic is the leader in Generative Integration. As a pioneer in AI-led integration, the SnapLogic Platform accelerates digital transformation across the enterprise and empowers everyone to integrate faster and easier. Whether you are automating business processes, democratizing data, or delivering digital products and services, SnapLogic enables you to simplify your technology stack and take your enterprise further. Thousands of enterprises around the globe rely on SnapLogic to integrate, automate and orchestrate the flow of data across their business. Join the Generative Integration movement at Connect with SnapLogic via our Blog, Twitter, Facebook, or LinkedIn.
National Post
3 days ago
- Business
- National Post
Independent Study Reveals 236% ROI with Dovetail's AI-First Customer Intelligence Platform
Article content Total Economic Impact™ study highlights significant cost savings, faster time-to-insight, and productivity gains for organizations using Dovetail Article content SAN FRANCISCO & SYDNEY — A newly commissioned study conducted by Forrester Consulting on behalf of Dovetail has found that organizations using Dovetail's AI-first customer intelligence platform achieved a 236% return on investment (ROI) over three years, with payback occurring within under six months. Article content Article content Released in April 2025, the Total Economic Impact™ of Dovetail study examines the financial and operational benefits of using Dovetail to unify, analyze, and act on customer insights. Based on interviews with Dovetail customers, combined to form a composite organization model, the study found that businesses: Article content Realized over $1.05 million in productivity gains through streamlined workflows Generated $507,000 in additional profit by increasing primary user capacity by 30%, enabling faster product iterations Saved 36,000 hours over three years on manual research processes such as transcript checks and cross-video analysis Saved $416,000 over three years by retiring legacy research tools, transcription services, and repositories Article content 'Instead of taking days to analyze the results, you get it almost instantly per session,' said the Head of Research and Insights at a healthcare organization featured in the study. 'Now, the production time alone of saving three days or more is significant to speed to market. The sooner you capture value in the market, the sooner you get a return on investment. So that alone I would say speeds [projects] up by at least 30%.' Article content A Design Research Lead at an IT services company added: 'Without Dovetail, we would either need more researchers, or we would just have to accept poor quality. We would probably be talking about an additional five to 10 researchers, which is 30% more. Using Dovetail early in the product lifecycle has enabled us to support more projects, including several with seven-figure outcomes.' Article content Customers also cited improved collaboration across departments, stronger alignment on customer needs, and greater agility in product development and strategic planning. Article content 'The fastest-growing companies today aren't just shipping fast, they're shipping the right things,' said Benjamin Humphrey, CEO and co-founder of Dovetail. 'We believe this study validates what our customers experience every day: when teams are aligned around real customer intelligence, they move faster, waste less, and build with confidence. We're proud to partner with forward-thinking teams who are proving that better customer understanding drives better outcomes.' Article content Article content Article content Article content Article content Article content
Business Wire
4 days ago
- Business
- Business Wire
New Independent Study Finds Marketing's AI Ambitions Outpacing Execution
NEW YORK--(BUSINESS WIRE)--Zeta Global (NYSE: ZETA), the AI marketing cloud, today published a Forrester Consulting Opportunity Snapshot, ' It's Time to Get Serious About AI's Business Value. ' This study finds that while many marketing organizations have begun implementing AI, most are still in the early stages of building the data, skills and systems required to scale it effectively and realize its full enterprise potential. Business leaders are enthusiastic about AI's potential and are taking steps to accelerate adoption. Marketing decision makers expect AI to deliver tangible outcomes, including increased ROI (64%), higher customer retention (63%), and revenue growth (58%), signaling strong confidence in AI as a strategic lever, even as execution lags intent. The study, based on a survey of 300 North American marketing technology decision-makers, found that 62% of organizations describe their current AI deployment as 'limited' or 'moderate.' As enterprises pursue more advanced use cases, their ability to access, unify, and apply relevant data will determine how quickly AI translates into measurable outcomes. Forrester notes that AI's long-term value in marketing will center on designing, orchestrating, and optimizing customer journeys. This makes the data foundation – authoritative, high quality and accessible – the critical building block for scale and velocity. 'Marketing should be at the front lines of the AI revolution, but many teams are held back by fragmented data, legacy systems, and skills gaps,' said David A. Steinberg, Co-Founder, Chairman, and CEO of Zeta Global. 'This study reinforces what we hear every day: marketers don't need more AI promises; they need practical, scalable ways to turn AI into better performance. That's the potential of an agentic future – systems that predict what to do and make it easy to act.' Findings from the study include: AI thrives with focused personalization: Realizing AI's full potential goes beyond implementation. Businesses that invest in AI-driven personalization are better positioned to meet evolving customer and employee expectations, creating a distinct competitive advantage. Building data and skills capabilities fuels growth: While 72% of marketers identified internal expertise and 63% cited data quality as areas for development, these insights are driving investments in talent and data governance —critical steps toward scaling AI initiatives. Strategic foundations unlock lasting impact: Successful AI adoption depends on mapping clear use cases, prioritizing data quality and governance, and enhancing AI skills to transition from experimentation to sustained value creation. Download the full study here. About Zeta Global Zeta Global (NYSE: ZETA) is the AI Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to Forward-Looking Statements This press release, together with other statements and information publicly disseminated by the Company, contains certain forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. The Company intends such forward-looking statements to be covered by the safe harbor provisions for forward-looking statements contained in the Private Securities Litigation Reform Act of 1995 and includes this statement for purposes of complying with these safe harbor provisions. Any statements made in this press release that are not statements of historical fact are forward-looking statements and should be evaluated as such. Forward-looking statements include information concerning our anticipated future financial performance, our market opportunities and our expectations regarding our business plan and strategies. 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The forward-looking statements are subject to and involve risks, uncertainties and assumptions, and you should not place undue reliance on these forward-looking statements. These cautionary statements should not be construed by you to be exhaustive and the forward-looking statements are made only as of the date of this press release. We undertake no obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as required by applicable law. If we update one or more forward-looking statements, no inference should be drawn that we will make additional updates with respect to those or other forward-looking statements.
