Agentic AI Emerging as Enterprise Game-Changer
MWN-AI** Summary
The emergence of agentic AI is reshaping enterprise operations, as revealed in a recent ISG Provider Lens report. Enterprises are transitioning from basic automation to more autonomous and collaborative AI systems, which enhance productivity, decision-making, and overall business transformation. Currently, while many organizations are still in the experimentation phase, a shift towards greater integration of agentic AI into workflows is evident. This allows for streamlined processes and optimization of resources.
Agentic AI systems enable contextual decision-making and cross-functional collaboration, transcending traditional automation. At present, most deployments remain simple and model-driven, with agents operating under predefined parameters. However, enterprises are beginning to leverage these systems for complex tasks such as auditing, transaction monitoring, and software development, showcasing tangible benefits in operational efficiency.
A crucial factor driving the adoption of agentic AI is the modernization of data architecture. Organizations need to facilitate real-time access to decision-grade data, ensuring that agentic systems can derive context from raw inputs rather than relying solely on prior application logic. This progress underscores the importance of robust data governance to maintain compliance.
Simultaneously, the workforce's readiness plays a vital role in effectively integrating digital agents. Companies are focusing on cultivating trust through transparency and communication while establishing frameworks for human-agent collaboration. This includes defining escalation procedures and oversight mechanisms to align with ethical and regulatory standards.
As organizations balance innovation with governance and talent development, they position themselves to harness the full potential of agentic AI. The 2025 ISG Provider Lens report notes that significant players like Accenture, Capgemini, and IBM are leading in this transformative space, highlighting the growing significance of agentic AI in enterprise strategies.
MWN-AI** Analysis
As enterprises transition into the age of agentic AI, it is crucial to understand the emerging dynamics and strategies necessary for leveraging this transformative technology effectively. According to the ISG Provider Lens report, organizations are beginning to integrate autonomous agents that enhance productivity and streamline business processes, marking a departure from traditional automation.
To capitalize on this shift, businesses must prioritize the modernizing of their data infrastructures. Agentic AI thrives on real-time, decision-grade data which traditional systems often fail to provide. Thus, organizations should invest in robust data architectures and governance frameworks, ensuring these foundational pieces support efficient multi-agent systems capable of making contextual decisions.
Another emerging trend is workforce readiness, as digital agents become increasingly integral to daily operations. Organizations must foster an environment of transparency and trust, coupled with effective training programs that prepare employees for collaboration with autonomous systems. Creating clear frameworks for human-agent interaction and establishing oversight structures aligned with compliance and ethical standards will be vital to ensure smooth integration and employee buy-in.
Furthermore, the report emphasizes the importance of balancing innovation with governance and talent development. Companies that build a committed strategy around agentic AI will likely be at the forefront of this technology's potential. This involves not only enhancing operational capacity but also considering the ethical implications of deploying autonomous agents.
In summary, as agentic AI emerges as a game-changer in enterprise environments, firms should focus on data modernization, workforce readiness, and a balanced approach to innovation and governance. Companies that proactively adopt these strategies will position themselves favorably in a rapidly evolving market landscape.
**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.
Increasingly autonomous systems advancing from experimentation to deployment and simple agents to multi-agent solutions, ISG Provider Lens ® report says
Enterprises are experimenting with and adopting early forms of agentic AI, a transition that is already beginning to change how they think about productivity, decision-making and business transformation, according to a new research report published today by Information Services Group ( ISG ) (Nasdaq: III ), a global AI-centered technology research and advisory firm.
The 2025 ISG Provider Lens ® global Agentic AI Services report finds that organizations are starting to integrate autonomous agents into business workflows to optimize productivity and streamline processes. Experimentation is still more common than scaled adoption, but enterprise initiatives are gaining momentum, with companies redesigning data architectures and governance frameworks to support more agents with greater autonomy.
“Agentic AI represents a significant step beyond traditional automation, allowing systems to make contextual decisions and collaborate across functions,” said Steve Hall, chief AI officer, ISG. “Organizations are assembling the building blocks of autonomous intelligence throughout the enterprise with governance and accountability.”
Most agentic AI deployments today are simple and model-driven, with agents acting toward predefined objectives with structured prompts and constrained logic, but projects are growing more ambitious. Companies are using agents for auditing functions, monitoring transactions and flagging anomalies. Agentic AI is also delivering tangible benefits in software development, with agents generating code, running tests and detecting vulnerabilities. The market is progressing toward ensembles of specialized agents and eventually multiagent systems, with orchestration frameworks playing a central role in optimizing agent collaboration.
Data readiness is emerging as a critical enabler for adoption, ISG says. Agentic systems require real-time, decision-grade data that many traditional architectures cannot provide. They create context from raw inputs rather than relying on application logic. To meet these requirements, companies are modernizing data infrastructure to provide real-time data access and seamless integration across platforms. This shift also underscores the need for consistent data governance to ensure agents can act effectively within compliance boundaries.
The need for workforce readiness is also shaping enterprise adoption, the report says. As digital agents become operational co-workers, organizations are emphasizing transparency, communication and training to foster trust and accountability. They are creating new frameworks for human-agent collaboration, supported by clear escalation rules and defined oversight structures that align with regulatory and ethical standards.
“Agentic AI will redefine enterprise operating models,” said Gowtham Kumar Sampath, principal analyst, ISG Provider Lens Research, and lead author of the report. “Organizations that balance innovation with governance and talent development will be best positioned to realize its full potential.”
The report also explores other trends in agentic AI, including the evolution of provider pricing and procurement models and the increasing use of prebuilt accelerators and domain-specific modules.
For more insights into the agentic AI-related challenges faced by enterprises, along with ISG’s advice for overcoming them, see the ISG Provider Lens ® Focal Points briefing here .
The 2025 ISG Provider Lens ® global Agentic AI Services report evaluates the capabilities of 36 providers across one quadrant: Agentic AI Development and Deployment Services
The report names Accenture, Capgemini, Cognizant, DXC Technology, HCLTech, IBM, Infosys, NTT DATA and TCS as Leaders in the quadrant.
In addition, EXL and Persistent Systems are named as Rising Stars — companies with a “promising portfolio” and “high future potential” by ISG’s definition — in the quadrant.
Customized versions of the report are available from HCLTech and NTT Data .
The 2025 ISG Provider Lens ® global Agentic AI Services report is available to subscribers or for one-time purchase on this webpage .
About ISG Provider Lens ® Research
The ISG Provider Lens ® Quadrant research series is the only service provider evaluation of its kind to combine empirical, data-driven research and market analysis with the real-world experience and observations of ISG's global advisory team. Enterprises will find a wealth of detailed data and market analysis to help guide their selection of appropriate sourcing partners, while ISG advisors use the reports to validate their own market knowledge and make recommendations to ISG's enterprise clients. The research currently covers providers offering their services globally, across Europe, as well as in the U.S., Canada, Mexico, Brazil, the U.K., France, Benelux, Germany, Switzerland, the Nordics, Australia and Singapore/Malaysia, with additional markets to be added in the future. For more information about ISG Provider Lens research, please visit this webpage .
About ISG
ISG (Nasdaq: III ) is a global AI-centered technology research and advisory firm. A trusted partner to more than 900 clients, including 75 of the world’s top 100 enterprises, ISG is a long-time leader in technology and business services that is now at the forefront of leveraging AI to help organizations achieve operational excellence and faster growth. The firm, founded in 2006, is known for its proprietary market data, in-depth knowledge of provider ecosystems, and the expertise of its 1,600 professionals worldwide working together to help clients maximize the value of their technology investments.
View source version on businesswire.com: https://www.businesswire.com/news/home/20251027473075/en/
Press Contacts:
Laura Hupprich, ISG
+1 203-517-3100
laura.hupprich@isg-one.com
Julianna Sheridan, Matter Communications for ISG
+1 978-518-4520
isg@matternow.com
FAQ**
How is Information Services Group Inc. (Nasdaq: III) assessing the progress of agentic AI from experimentation to deployment, and what metrics are being used to evaluate success in organizations?
What specific factors are driving enterprises to modernize their data architectures and governance frameworks as highlighted by Information Services Group Inc. (Nasdaq: III) in the AI services report?
In what ways do you anticipate the evolution of provider pricing and procurement models for agentic AI, as per insights from Information Services Group Inc. (Nasdaq: III)?
How is Information Services Group Inc. (Nasdaq: III) advising enterprises to foster workforce readiness and human-agent collaboration in the context of increasing adoption of agentic AI technologies?
**MWN-AI FAQ is based on asking OpenAI questions about Information Services Group Inc. (NASDAQ: III).
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