{"id":225100,"date":"2025-03-24T15:23:28","date_gmt":"2025-03-24T15:23:28","guid":{"rendered":"https:\/\/evertise.net\/?p=114695"},"modified":"2025-03-24T15:23:28","modified_gmt":"2025-03-24T15:23:28","slug":"multiable-unveils-innovative-ai-agents-to-bridge-the-enterprise-genai-gap","status":"publish","type":"post","link":"https:\/\/ipsnews.net\/business\/2025\/03\/24\/multiable-unveils-innovative-ai-agents-to-bridge-the-enterprise-genai-gap\/","title":{"rendered":"Multiable Unveils Innovative AI Agents to Bridge the Enterprise GenAI Gap"},"content":{"rendered":"

<\/span><\/p>\n

The excitement around Generative Artificial Intelligence (GenAI) continues to electrify tech discussions in 2025, driven by captivating consumer applications and ambitious promises of transformation. Yet, a clear divide persists: while consumers revel in GenAI\u2019s eye-catching features, enterprise users remain wary, doubting its practicality and value for their intricate needs. As businesses hold back from fully embracing the AI revolution, a new generation of AI agents\u2014customizable and enterprise-focused\u2014may finally close the gap.<\/span><\/p>\n

The GenAI wave, enchanting users with tools that generate text, images, and even music, shows no signs of fading. From creative pursuits to personal productivity, its allure is undeniable. However, enterprises tell a different tale. Sectors like finance, manufacturing, and logistics question whether GenAI can deliver concrete benefits worth the investment, finding it lacking in addressing their specific operational demands.<\/span><\/p>\n

\"\"<\/p>\n

\u201cEnterprises don\u2019t see GenAI as the transformative force it\u2019s made out to be,\u201d an industry veteran working in the customer success department of Multiable noted. \u201cIt dazzles, but it often fails to meet the nuanced, critical needs of business operations.\u201d Corporate leaders agree, citing a lack of customization and weak incentives to adopt at scale. Unlike consumers captivated by GenAI\u2019s novelty, enterprises demand solutions that integrate effortlessly into workflows, solve specific problems, and provide clear ROI\u2014areas where many current tools stumble.<\/span><\/p>\n

This doubt has tempered the anticipated \u201cAI revolution\u201d in the business realm, with leaders reluctant to invest in solutions that feel more speculative than solid. The issue often lies in the generic nature of consumer-focused AI, which, while versatile, struggles to adapt to the bespoke needs of enterprises.<\/span><\/p>\n

AI agents, however, are poised to change the narrative. Designed to be focused, flexible, and task-specific, these agents differ from the broad-strokes approach of consumer AI. Experts believe they could be the breakthrough enterprises need. Multiable, a company pioneering this shift, is empowering businesses through its Enterprise AI Lab to craft tailored AI solutions.<\/span><\/p>\n

Jerry Li, team lead at Multiable\u2019s Enterprise AI Lab, emphasizes the power of customization: \u201cConsumer AI is impressive, sure, but it\u2019s not practical for enterprises. Businesses need tools to build AI agents themselves, with minimal coding. It\u2019s the only way to tackle their unique challenges\u2014be it optimizing supply chains, enhancing customer service, or streamlining compliance.\u201d Li\u2019s perspective highlights a growing belief that accessible, low-code platforms are essential for enterprises to adopt AI effectively, avoiding the need for extensive technical expertise.<\/span><\/p>\n

Trending conversations online reflect this shift, with business leaders cautiously optimistic about AI agents as a way to move past the hype. While GenAI\u2019s consumer appeal keeps it prominent, the promise of practical, tailored AI tools is what might finally sway skeptical enterprises.<\/span><\/p>\n

Companies like, Multiable, in which Jerry is working, clearly have an advantage as they get the experience, trust and mostly importantly, pilot customers\u2019 consent to use their valuable data in AI agent builder development process. This is something most AI start-ups dreaming of.<\/span><\/p>\n

About MULTIABLE<\/b><\/p>\n

A leading AI and ERP system provider, serving over 6,000 enterprises in <\/span>Singapore<\/span><\/a>, Malaysia, <\/span>Hong Kong<\/span><\/a> and China. Recently launched AI agent builder, <\/span>LAIDFU<\/span><\/a>,\u00a0 precisely plugs the gap between consumer AI and enterprise needs.<\/span><\/p>\n

Contact Information:<\/b><\/p>\n

Business: Multiable<\/span>
\n<\/span>Contact Name: Elva Poon<\/span>
\n<\/span>Email: <\/span>pr@multiable.com<\/span>
\n<\/span><\/a>Website: <\/span>https:\/\/multiable.com\/<\/span><\/a>
\n<\/span>Country: Hong Kong<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

<\/span>The excitement around Generative Artificial Intelligence (GenAI) continues to electrify tech discussions in 2025, driven by captivating consumer applications and ambitious promises of transformation. Yet, Continue Reading →<\/span><\/a><\/p>\n","protected":false},"author":271,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[57,387],"tags":[],"class_list":["post-225100","post","type-post","status-publish","format-standard","hentry","category-ips","category-si"],"yoast_head":"\nMultiable Unveils Innovative AI Agents to Bridge the Enterprise GenAI Gap - Business<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ipsnews.net\/business\/2025\/03\/24\/multiable-unveils-innovative-ai-agents-to-bridge-the-enterprise-genai-gap\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Multiable Unveils Innovative AI Agents to Bridge the Enterprise GenAI Gap - Business\" \/>\n<meta property=\"og:description\" content=\"The excitement around Generative Artificial Intelligence (GenAI) continues to electrify tech discussions in 2025, driven by captivating consumer applications and ambitious promises of transformation. 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