As AI moves from experimentation into everyday business operations, the question for enterprises is no longer simply whether they should adopt AI, but how they can put it to work across real business processes.

Against this backdrop, Yonyou hosted the 2026 Global Business Innovation Conference (GBIC), from August 6–8 at the Nanjing International Expo Center in China.

Under the theme “Harnessing AI to Drive Growth,” the 24th edition of GBIC brought together business leaders, technology experts, enterprise practitioners, ecosystem partners and innovators to explore how AI can move beyond isolated applications and become a practical driver of business transformation. Yonyou expected more than 8,000 attendees on site and more than 2 million online participants, making the conference a significant gathering for the enterprise technology and digital transformation ecosystem in the Asia-Pacific region.

Yonyou’s 24th Edition of Global Business Innovation Conference

Global Business Innovation Conference (GBIC) is Yonyou’s annual enterprise digitalization and business innovation event. First launched in 2003, the 2026 conference marked its 24th edition.

Over the years, GBIC has developed into a major platform for discussing the intersection of technology, enterprise management and business growth. Yonyou describes the conference as a forum for business leaders, technology experts, enterprises, ecosystem partners, developers and innovators to exchange perspectives on emerging technologies and their practical applications.

The 2026 edition focused heavily on the next stage of enterprise AI.

Rather than treating AI as a standalone technology, the conference explored how organizations can integrate AI into real-world operations — from finance and procurement to manufacturing, human resources, supply chain, marketing and global business operations.

The event featured a main conference, a technology summit, specialized industry forums, an interactive enterprise technology exhibition, business matchmaking and networking sessions, as well as the Innovation Night Gala and awards ceremony. The official attendee guide also featured dedicated forums covering intelligent finance, procurement and supply chain digitalization, manufacturing, HR, marketing, financial services and global operations.

From Adopting AI to Harnessing AI

The central idea behind GBIC 2026 was captured in its theme: “Harnessing AI to Drive Growth.”

For enterprises, this represents an important change in mindset. The first wave of enterprise AI focused largely on experimentation — using AI to generate content, summarize information, answer questions or assist employees with individual tasks. The next stage is more operational. AI is increasingly being connected to business data, enterprise applications and workflows so that it can participate directly in how organizations operate.

Yonyou’s own conference materials describe this transition as businesses moving from learning and experimenting with AI toward “harnessing” AI as a strategic capability for growth. This was reflected throughout the conference agenda, featuring dedicated discussions around Agentic AI, enterprise AI infrastructure, AI-powered business applications and real-world implementation, including a technology summit focused on how Agentic AI can create business value.

Finance was also a major part of the conversation. Among the specialized sessions was the Digital Intelligent Finance Forum, themed around using AI to transform finance, alongside a separate forum focused on tax and contract digitalization.

Gleematic AI Agents at Yonyou’s GBIC 2026

As a proud Yonyou partner, we were pleased to participate in this year’s GBIC, joining business leaders, technology innovators, and ecosystem partners from around the world to explore how AI is reshaping the future of enterprise operations. We had the opportunity to showcase our AI Agents and how they can help enterprises transform everyday business processes especially in finance.

Presenting Gleematic AI Agents for Finance Automation

Finance departments are among the most process-intensive functions within an organization. From purchase orders and invoices to reconciliations, approvals, reporting and payments, finance teams often work across multiple documents, systems and approval stages every day. While many individual tasks can be automated, finance processes often involve multiple steps — from reviewing information and validating data to entering transactions and triggering the next stage of a workflow.

This is where AI Agents for Finance Automation can make a difference.

Our smart AI Agents are designed to go beyond simple data extraction or repetitive task automation. They can understand information, process documents, follow business rules, interact with applications, and execute actions as part of an end-to-end workflow.

At GBIC 2026, we highlighted how Gleematic can support finance-related processes such as purchase order creation, invoice/claims processing, data validation, reconciliation of documents and transactions, fraud detection, financial forecasting, and more.

The objective is not simply to automate individual tasks, but to connect these tasks into a more seamless workflow. By taking on repetitive operational work, AI Agents can help finance teams reduce manual effort and spend more time on activities that require human judgment, analysis, and strategic decision-making.

How Gleematic Drives Enterprise Growth with AI

The capabilities demonstrated by Gleematic at GBIC 2026 closely reflect the conference’s central theme: “Master AI, Drive Growth.”

For us, driving enterprise growth with AI goes beyond simply automating repetitive tasks. While AI Agents can take over time-consuming operational processes, our value can extend further by helping organizations understand data, identify risks, predict outcomes, and make better-informed decisions.

In finance, for example, AI can automate routine processes such as document processing, purchase order creation, reconciliation, and data entry. At the same time, AI-powered capabilities can support more analytical and decision-oriented activities, including financial forecasting, fraud detection, anomaly identification, and business reporting. This creates a broader role for AI within the enterprise: not just doing the work, but also helping people decide what to do next.

From Documents to Decisions

We bring these capabilities together through AI-powered automation approach. By connecting AI with business data, documents, rules, and enterprise applications, organizations can automate day-to-day execution while gaining greater visibility and intelligence across their operations.

For example, forecasting capabilities can help businesses anticipate future financial performance and support planning. Fraud detection and anomaly analysis can help identify transactions or patterns that may require further investigation. Meanwhile, automated reporting can turn operational data into information that management can use to monitor performance and make decisions.

This combination of automation and intelligence is what makes AI increasingly relevant to enterprise growth. Instead of viewing AI solely as a tool for reducing manual workload, organizations can use it to improve operational efficiency while strengthening their ability to respond to changes, manage risks, and make data-driven decisions.

This vision aligns closely with the direction of GBIC 2026. As enterprises move from experimenting with AI to embedding it into real business operations, the opportunity is not simply to automate more tasks, but to build organizations that can operate smarter, respond faster, and make better decisions with AI. AI should not operate in isolation from the enterprise systems and workflows that businesses already use. It should work within them.

Seamless Integration with Yonyou ERP: Building on Existing Enterprise Systems

For many organizations, particularly established enterprises, replacing an ERP system is neither practical nor desirable. ERP platforms often sit at the center of critical finance, procurement, supply chain and operational processes. They contain years of business data and are deeply embedded into organizational workflows. The challenge, therefore, is not necessarily to replace these systems with AI.

A key part of our showcase at GBIC 2026 was demonstrating how Gleematic AI Agents can integrate with Yonyou ERP to automate finance-related processes. It is one of our innovations highlights we were excited to share about.

The demonstration showcased how Gleematic can automate processes such as purchase order creation in Yonyou, reducing repetitive manual data entry while connecting information captured from business documents directly with the organization’s existing ERP workflow. For example, when a quotation contains the information required to create a purchase order, Gleematic can process the document, identify the relevant information, and use it to initiate the corresponding transaction in Yonyou ERP.

Gleematic includes a dedicated, built-in integration module for Yonyou, enabling organizations to seamlessly connect AI Agents with their existing ERP environment and automate finance operations end-to-end — without disrupting or replacing their existing systems.

This means businesses can bring AI-powered automation into their existing workflows while continuing to rely on the ERP infrastructure they already use. From processing business information to creating transactions and carrying out repetitive tasks, Gleematic AI Agents can work alongside Yonyou ERP to help streamline the flow of work across systems.

Rather than requiring enterprises to start over with a new system, the integration demonstrates a more practical approach to AI adoption: building intelligence on top of the systems that already run the business.

From ERP Automation to Agentic Enterprise

The conversation at GBIC 2026 points toward a broader transformation taking place across enterprise technology.

ERP systems have traditionally been designed around structured workflows. Employees enter information, select options, follow predefined processes and move transactions from one stage to another. But Agentic AI introduces another possibility.

Instead of requiring every step to be manually initiated, AI such as Gleematic AI Agents can interpret business inputs, determine the appropriate next action and interact with enterprise applications to execute that action within defined boundaries. This creates a more dynamic model of enterprise automation.

For finance, this represents a shift from simply moving information between systems to automating the work that happens in between. Instead of a document being received, manually entered, and then recorded in an ERP, an AI Agent can process the document, validate the information, determine what needs to happen next, and execute the appropriate action within the ERP. In this model, AI becomes more than a data-entry tool—it becomes an intelligent layer connecting business information with business action.

And ultimately, toward connected workflows where multiple finance processes can operate as part of a single automated chain.

This is the direction in which Gleematic’s AI Agent capabilities are evolving — helping organizations connect documents, people, business rules and enterprise applications into intelligent workflows.

Making AI Work Where Business Happens

The most important takeaway from GBIC 2026 may not be the emergence of another AI tool or another enterprise technology trend. It is the growing recognition that the value of AI ultimately depends on where and how it is applied. AI becomes significantly more valuable when it can move beyond “generating an answer” and actually contribute to completing a business process.

For finance teams, that means connecting AI to the systems where financial operations already happen. For broader spectrum of enterprises, it means making existing technology investments more intelligent rather than starting from scratch. And for organizations looking to scale automation, it means moving beyond isolated bots and individual tasks toward AI Agents capable of coordinating entire workflows.

We would like to extend our sincere thanks to Yonyou for organizing GBIC 2026, it was truly an inspiring platform to exchange ideas, discover new opportunities, and see how AI is moving from experimentation into practical business applications.

“Driving enterprise growth with AI” aligns closely with our vision, which is to empower people work smarter by leveraging AI. For us, participating in GBIC 2026 was an opportunity to demonstrate this vision in practice: bringing AI Agents closer to where business happens and helping enterprises turn AI capabilities into measurable operational value. We believe AI Agents should work alongside the systems businesses already rely on, helping organizations automate processes, connect information across applications, and turn everyday business operations into intelligent, scalable workflows.

As enterprises continue their journey toward AI-powered operations, Gleematic looks forward to working with partners such as Yonyou to make AI more practical, more connected, and more impactful for businesses — helping enterprises not only adopt AI, but harness it to drive sustainable growth.

Written by: Kezia Nadira