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UIPaths 2025 Agentic AI Report surveyed US IT execs from companies with $1 billion or more in revenue and found that 93% are highly interested in agentic AI for their business. The study found better oversight of business workflows to be the top perceived benefit of it. Use cases for AI agents span countless business workflows.
Instead of seeing digital as a new paradigm for our business, we over-indexed on digitizing legacy models and processes and modernizing our existing organization. As a result, most businesses remain saddled with complexity, department silos, and old ways of doing things. The reality for most businesses was much less revolutionary.
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Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. These reinvention-ready organizations have 2.5
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AI agents are powered by the same AI systems as chatbots, but can take independent action, collaborate to achieve bigger objectives, and take over entire business workflows. The business benefit is that attorneys can get through the contracting process faster, respond to customers faster, and transact faster than anyone else.
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Even in the case of moderate to low risk, technical debt impacts can change quickly as business needs evolve. Another question is: What separates out debt thats fixed opportunistically versus critical debt that could cripple the business? Using the companys data in LLMs, AI agents, or other generative AI models creates more risk.
The UK government has introduced an AI assurance platform, offering British businesses a centralized resource for guidance on identifying and managing potential risks associated with AI, as part of efforts to build trust in AI systems. Meanwhile, the measures could also introduce fresh challenges for businesses, particularly SMEs.
Jeff Schumacher, CEO of artificial intelligence (AI) software company NAX Group, told the World Economic Forum : “To truly realize the promise of AI, businesses must not only adopt it, but also operationalize it.” Lazarev agrees: “It’s one thing to have the technology, but it’s another to weave it into the fabric of your business strategy.
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We havent realistically begun updating and normalizing the wider semi- and unstructured data applications that pervade business processes and that are exactly the data and business flows that can most benefit from the latest waves of AI innovation. We are in mid-transition, Stone says.
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Research respondents believe AI will positively impact IT complexity and improve business outcomes. AIOps-powered observability goes beyond monitoring data outputs and provides a complete, up-to-date topology of all business nodes and how incidents on one layer affect other nodes, as well as business outcomes.
Strong domain expertise, solid data foundations and innovative AI capabilities will help organizations accelerate business outcomes and outperform their competitors. The key to driving real impact lies in seamlessly integrating data and AI into the way businesses work, said Rohit Kapoor, chairman and CEO, EXL.
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Rule 4: Formalize risk management across the enterprise CIOs and their departments are already doing risk management every day, so why not formalize the process and integrate it into the rest of the business, asks Will Klotz, senior risk security consultant at GuidePoint Security, a cybersecurity services firm.
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Others suggest everything should be called business transformation or just transformation for short. But CIOs will need to increase the business acumen of their digital transformation leaders to ensure the right initiatives get priority, vision statements align with business objectives, and teams validate AI model accuracy.
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