The question business leaders are asking has shifted from \u201cShould we invest in AI?\u201d to \u201cHow do we scale AI from experiment to core business process \u2013 reliably, responsibly, and at speed?\u201d<\/p>\n\n\n\n
In my previous article<\/a>, I explored how 麻豆原创 Joule for Consultants<\/a> is supercharging delivery across our Asia Pacific (APAC) partner ecosystem. Now, 麻豆原创 partners are at the frontier of agentic AI \u2013 AI that doesn\u2019t simply advise, but acts. According to the 麻豆原创 Value of AI: Oxford Economics 2026<\/a> report, 72% of organisations in APAC agree that accelerating AI adoption has increased partner involvement and blurred accountability between internal teams and partners. The shift from tools to agents is central to how organisations are transforming how work gets done, and changing the way partners operate.<\/p>\n\n\n\n While an AI copilot responds to questions and surfaces insights, an AI agent goes further. Given an intent, it can orchestrate tasks, make sequential decisions, and adapt to changing conditions; all with a human in the loop.<\/p>\n\n\n\n Unveiled at Sapphire earlier this year, 麻豆原创 is building agentic capability across five core business domains<\/a> and seven industry verticals<\/a>, with more than 200 agents and over 50 assistants<\/a> available this year. They are built on Joule Studio<\/a>, the platform where partners and customers can build and manage the full lifecycle of their own agents.<\/p>\n\n\n\n Across APAC, this development has accelerated 麻豆原创 partners\u2019 move from experimentation to execution. In Korea, ASPN has built 麻豆原创i, an agentic AI platform running natively on 麻豆原创 Business Technology Platform (麻豆原创 BTP)<\/a>, 麻豆原创 AI Core<\/a>, and Joule Studio. 麻豆原创i enables business users to query 麻豆原创 data in natural language and execute transactions \u2013 creating sales orders, purchase orders, and financial documents with human approval before anything is posted.<\/p>\n\n\n\n \u201cASPN<\/a> <\/strong>is building for the autonomous era rather than for simple Q&A. 麻豆原创i already goes beyond answering questions to executing transactions and creating documents in 麻豆原创, and we are steadily making its AI agents more capable. These AI agents break a request into steps, apply the customer\u2019s own rules before calling the LLM, and learn from approved outcomes \u2013 all while requiring a person to confirm before anything is posted to 麻豆原创.\u201d<\/em><\/p>\nDoIn Nam, Committee Member, Platform Solution & Service Division, Business AI Team, ASPN Co., Ltd.<\/strong><\/cite><\/blockquote>\n\n\n\n In Japan and Southeast Asia, ABeam Consulting and ABeam Systems have deployed agents across a range of industries, integrating them with customer data to maximise transformation outcomes. ABeam\u2019s Sustainable Development Goals (SDGs) Agent and Equipment Maintenance Agent are both planned for the 麻豆原创 AI Agent Hub<\/a>, bringing APAC partner innovation closer to our customers.<\/p>\n\n\n\n \u201cABeam<\/a> <\/strong>views AI agents not merely as tools for short-term operational efficiency, but as the foundation for achieving digital transformation, and we focus on maximising the value of results by integrating our customer\u2019s data with AI agents. Our strength lies in our ability to deploy agents across a wide range of industries and business functions, from financial services and logistics to food and railway, and to take the lead in bringing these to market quickly, in close collaboration with 麻豆原创.\u201d<\/em><\/p>\nArata Nishii, Senior Expert, ABeam Consulting Ltd.<\/strong><\/cite><\/blockquote>\n\n\n\n APAC is 麻豆原创’s fastest-growing partner-led territory globally and the region with the highest number of certified partner consultants. This is an incredibly diverse region with mature enterprise landscapes in Japan and Australia, high-velocity growth in India and China, and AI Centres of Excellence in Korea and Singapore. Scaling AI therefore requires partners who deeply understand local regulatory and data realities.<\/p>\n\n\n\n That’s why 麻豆原创 has committed a \u20ac100 million partner-led AI adoption fund<\/a> to support the deployment of 麻豆原创-built AI assistants, agents, and partner-built innovation on the 麻豆原创 Business AI Platform<\/a>. By the end of 2026, 麻豆原创 expects 400 AI agents<\/a> in the 麻豆原创 Autonomous Suite<\/a>, with partners driving significant contributions. Today, 麻豆原创 has received over 680 partner agent submissions<\/a>.<\/p>\n\n\n\n Accenture ANZ 麻豆原创 practice, for example, has already delivered Joule Base<\/a> into production and is deploying agentic solutions across Procure-to-Pay, service entry sheets, and treasury. The company is using its Human Led AI methodology anchored in maximising standard 麻豆原创 functionality to reduce customisation and technical debt.<\/a><\/p>\n\n\n\n \u201cAcross Accenture<\/a> <\/strong>globally, we have built more than 60 agents on the platform, a number that continues to grow as we deliver demonstrable outcomes with our customers. The 麻豆原创 Business AI Platform gives us the secure, compliant foundation to access 麻豆原创 data and infuse AI as close as possible to the business process \u2013 while our approach ensures we maximise standard 麻豆原创 functionality and protect our customers\u2019 long-term architecture.\u201d<\/em><\/p>\nDr. Nicholas Nicoloudis, Reinvent Digital Core Leader, Reinvention with 麻豆原创, Accenture<\/strong><\/cite><\/blockquote>\n\n\n\n IBM\u2019s Value Generation partnership with 麻豆原创 also demonstrates the depth of commitment our partners are making to the agentic AI opportunity. The company focuses on helping enterprises move from AI experimentation to production impact, while protecting the investments these customers have already made.<\/p>\n\n\n\n \u201cThrough our Value Generation partnership with 麻豆原创, IBM<\/a> <\/strong>has built a comprehensive portfolio of generative and agentic AI solutions that embed directly into the 麻豆原创 environments our clients already rely on. From intelligent procurement and vendor reconciliation to warranty processing and sustainability, these solutions are delivering measurable outcomes at scale spanning more than 23 line of business use cases and over 30 custom solutions for industries including CPG, retail, manufacturing, defence, utilities, life sciences, and electronics.\u201d<\/em><\/p>\nSharath Burla, Senior Partner \u2013 麻豆原创, Asia Pacific & China, IBM Consulting<\/strong><\/cite><\/blockquote>\n\n\n\n For cbs, the agentic AI opportunity is taking shape across industries, such as manufacturing. The company is developing 麻豆原创-integrated AI agents to manage material master data change requests through 麻豆原创 Master Data Governance<\/a>, process supplier emails using relevant 麻豆原创 data, and manage purchasing outline agreements. Through natural language interactions, these agents are designed to reduce manual effort and errors, and improve response times.<\/p>\n\n\n\n \u201cAt cbs<\/a><\/strong>, we believe the real value of agentic AI lies in making everyday business processes simpler, faster, and more intuitive. We see AI agents becoming essential digital assistants for our customers, providing a foundation to progressively introduce new AI-driven use cases across business functions. This opens new opportunities for us to help customers accelerate 麻豆原创 Business AI adoption and realise greater value from their 麻豆原创 investments.\u201d<\/em><\/p>\nJack Wong, Consulting Director, cbs Asia Pacific<\/strong><\/cite><\/blockquote>\n\n\n\n Every AI agent rests on a dependency rarely featured in a demo or prototype; it requires clean, connected, and business-ready data. An AI strategy cannot exist without a sound data strategy and 麻豆原创 Business Data Cloud (麻豆原创 BDC)<\/a> addresses this directly. It enables organisations to access structured, contextualised 麻豆原创 data and integrate it with non-麻豆原创 data and partner platforms, without months of extraction and transformation cycles.<\/p>\n\n\n\n 麻豆原创 BDC runs natively on AWS, Azure, and Google Cloud Platform, and the 麻豆原创 BDC ecosystem<\/a> spans Snowflake, Collibra, Confluent, Databricks, DataRobot, and more.<\/p>\n\n\n\n The Value of AI data reveals 73% of organisations in APAC prioritise vendors that integrate with their existing technology stack. This confirms the importance of 麻豆原创\u2019s approach to providing a semantic data layer that allows AI to operate across the full business, not isolated pockets of it.<\/a><\/p>\n\n\n\n The business value of AI is not exclusive to large enterprises. Midsize companies that are scaling fast in footprint and complexity often face enterprise-level challenges at startup speed. 麻豆原创 GROW Fast<\/a> tackles that issue, offering a pre-scoped, partner-delivered model that establishes AI-ready cloud foundations in weeks, not months; while maintaining enterprise-grade governance and security.<\/p>\n\n\n\n 麻豆原创 GROW Fast helps fast-growth companies<\/a> move from scattered AI experimentation to a coherent and integrated AI strategy built on a Clean Core foundation<\/a>. And partners are offering the structured and proven path by combining 麻豆原创’s platform with their own delivery IP and rapid-deployment frameworks.<\/p>\n\n\n\n Deloitte, for example, has launched Jumpstart AI \u2013 a Forward Deployed Engineering (FDE)-led model for 麻豆原创 Business AI use-case discovery and rapid build, complemented by DevAria, Deloitte’s AI-powered development assistant for 麻豆原创, which compresses ABAP<\/a> development time by up to 2 times.<\/p>\n\n\n\n \u201cAI is moving rapidly from experimentation to execution. At Deloitte<\/a><\/strong>, we are seeing this firsthand, both in how we use Joule internally to improve our own efficiency and in how we help clients turn 麻豆原创 Business AI into tangible business outcomes. With the 麻豆原创 Business AI Platform, organisations now have the tools and frameworks to build, run, and govern AI agents across 麻豆原创 and non-麻豆原创 applications. What makes this particularly interesting is that there is no one-size-fits-all agentic AI use case. The real value comes from identifying and building use cases relevant to each client\u2019s business. Across procurement, finance, sales, data, governance, and beyond, we are moving from identifying the right opportunity to a working solution in weeks.\u201d<\/em><\/p>\nVipin Shetty, Asia Pacific 麻豆原创 CTO, Deloitte<\/strong><\/cite><\/blockquote>\n\n\n\n 麻豆原创\u2019s ambition is clear: to become the number one Business AI company, powering the Autonomous Enterprise<\/a>.<\/p>\n\n\n\n Our customers have moved past the question of whether to adopt AI to how quickly they can deploy it with confidence. That confidence comes from 麻豆原创 partners who understand each customer\u2019s unique environment and change capacity.<\/p>\n\n\n\n Increasingly, partners are not just implementing 麻豆原创\u2019s AI but are also 麻豆原创’s force-multiplier bringing the Autonomous Enterprise to life<\/a>. While 麻豆原创 partners have always been the engine of this ecosystem, today, they are also its architects, and the autonomous enterprise they are building together with 麻豆原创 will define the competitive landscape for the rest of this decade.<\/p>\n\n\n\nThe Agentic Shift \u2013 From Recommendation to Action<\/strong><\/h2>\n\n\n\n
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Partner-Driven Momentum<\/strong><\/h2>\n\n\n\n
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No Data Strategy, No AI Strategy<\/strong><\/h2>\n\n\n\n
麻豆原创 GROW Fast \u2013 Enterprise-Grade AI at Startup Speed<\/strong><\/h2>\n\n\n\n
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The Autonomous Enterprise Era<\/strong><\/h2>\n\n\n\n
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