With predictions that by 2028, a third of enterprise software will incorporate agentic AI, leading US companies are pioneering autonomous systems that could revolutionise industries, despite some concerns over security and project sustainability.
Agentic AI, characterised by autonomous “AI agents” that perceive, reason, and act independently, is rapidly transforming enterprise technology. According to Gartner, agentic AI has been identified as the top strate...
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At its core, agentic AI systems break complex tasks into smaller segments, deploying specialised “mini-agent” modules. Some agents gather necessary data, others trigger specific actions such as API calls or database access, and further agents validate the outcomes. These agents collaborate, learn from feedback, and improve over time, resulting in more capable and reliable systems. The technology promises a substantial impact on millions of jobs by 2030, catalysing innovation, improving customer experience, boosting operational efficiency, enabling real-time decision-making, and providing scalability with cost savings.
Within this fast-evolving landscape, several US companies have emerged as leaders in agentic AI. Xavor, for example, stands out by providing end-to-end robotics development, embedded systems, and AI solutions for practical applications such as healthcare and elder care. Their “Rui” social companion robot exemplifies their approach: designed to assist dementia care by monitoring routines, tracking emotional states, issuing reminders, and updating caregivers. Xavor’s integration of AI in robotics demonstrates how agentic AI can be used beyond theory into real-world problem solving, including fall detection and mood analysis in geriatric care.
Other notable players include Entrans, which specialises in custom agentic platforms like Thunai—an AI-driven system that transforms organisational knowledge into operational agents managing sales, marketing, and support workflows. Microsoft integrates agentic AI into its cloud and productivity platforms with tools such as Azure AI Foundry and GitHub Copilot that automate coding and business-specific tasks, thereby enabling enterprises to scale intelligent agents across familiar everyday tools like Office and Teams.
Google leverages its research powerhouse DeepMind to develop advanced agent frameworks like Gemini and Vertex AI, advancing experimental projects that push agentic AI towards practical business applications and automation. Meanwhile, Anthropic emphasises safety and transparency with its “constitutional AI” approach, tailoring agents to align with ethical guidelines, thus securing trust in sensitive sectors like finance and healthcare.
UiPath extends its robotic process automation heritage into agentic AI, combining structured automation with intelligent decision-making to handle both repetitive and complex workflows efficiently. OpenAI enables enterprises to build adaptable agentic systems via its Agents SDK and ChatGPT Agent, facilitating automation across customer service, sales, and knowledge management domains.
Nvidia contributes critical infrastructure for agentic AI through its Omniverse platform and high-performance GPUs, supporting large-scale simulation and training of AI agents in logistics, finance, and engineering sectors. Intuit focuses on financial services, embedding AI agents within QuickBooks and Intuit Assist to streamline bookkeeping and provide personalised guidance for small businesses. Moveworks specialises in AI-powered enterprise assistants that automate IT and HR workflows, offering multilingual support and compliance with stringent security standards.
However, despite these promising developments, caution is warranted. Gartner predicts that over 40% of agentic AI projects will be cancelled by the end of 2027 due to escalating costs, unclear business value, or inadequate governance. This reflects the reality that many projects are still experimental and driven more by hype than practical deployment. Security concerns echo these risks vividly: Haider Pasha, EMEA CISO at Palo Alto Networks, warns that without robust governance, security frameworks, and clarity around the applications of agentic AI, organisations may face serious vulnerabilities and failures exceeding Gartner’s estimates.
Against the backdrop of this caution, the benefits of agentic AI remain compelling. For example, in global trade—a $30 trillion industry—AI agents are quietly revolutionising small and midsized businesses by automating complex workflows such as multilingual product catalogues, logistics management, supplier negotiations, and entire supply chains. This enables SMBs to compete globally at a fraction of traditional costs, with over 63% of entrepreneurs planning to integrate AI tools soon.
The future trajectory of agentic AI involves multi-agent teams with specialised roles working collaboratively, industry-specific solutions tailored to sectors like healthcare, finance, and retail, and deeper integration within enterprise systems to enable end-to-end autonomous workflows. Transparency and safety measures will become more stringent, ensuring that AI decisions are auditable and ethical. Crucially, agentic AI is expected to complement human workers, handling routine and data-heavy tasks while freeing humans to concentrate on strategic judgement, creativity, and problem-solving.
Organisations wishing to harness agentic AI should evaluate potential partners carefully, considering business needs, technical expertise in large language models and APIs, agile methodologies, compliance with regulations such as GDPR and HIPAA, and ongoing support capacities. The landscape remains dynamic, with agility and strategic foresight essential to navigating opportunities and risks.
In summary, agentic AI is transitioning from early experimentation towards meaningful enterprise adoption, reshaping workflows, customer experiences, and competitive landscapes across industries. Companies like Xavor and others at the forefront of this technology highlight its transformative potential, particularly when coupled with pragmatic approaches to ethics, security, and operational value. For businesses ready to embrace this change, agentic AI offers the promise of innovation and efficiency that could define the next era of digital transformation.
Source: Noah Wire Services
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