On 26/03/2026 at Riverside Palace (Ho Chi Minh City) and 02/04/2026 at the Vietnam National Convention Center (Hanoi), AI in Action 2026, organized by BiPlus with sponsorship support from Atlassian, TiDB, Lansweeper, Ricksoft, and Xray, welcomed 500+ managers, specialists, and professionals across technology, operations, business, and digital transformation. Participants came from organizations such as FPT, Techcombank, ACB, CMC, NashTech Vietnam, VNG, Samsung, Shinhan Finance, and many others across industries.
What made AI in Action 2026 different is that it was not a technology showcase. The agenda was designed around one practical question:
How do we turn an AI proof of concept (POC) into a real system that runs reliably and delivers clear business results?
To help companies bring AI into day-to-day work across every department, the event was structured into four key activity layers:
At the opening keynote of AI in Action in Ho Chi Minh City, Mr. David Lee (Territory Partner Manager, Southeast Asia, Atlassian) explained how Atlassian is helping enterprises operate in the Cloud and AI era. He focused on three areas, Cloud, AI, and the System of Work, and how organizations can collaborate across Business and IT on one connected platform. He introduced Atlassian Cloud Platform, Teamwork Graph, and Solution Collections (Service, Software, Teamwork, Strategy) as building blocks to connect data, workflows, and teams. Rovo was positioned as an AI teammate, powered by Search, Chat, Studio, and Agents, that brings AI into everyday work across the Atlassian ecosystem.
In Hanoi, the opening keynote was delivered by Mr. Tat Teong Tan (ASEAN Enterprise ITSM Solution Specialist, Atlassian), focusing on ITSM and Atlassian Service Collection. He explained how organizations can standardize and automate service delivery and expand service management beyond IT, into functions like HR, Facilities, and Finance, using a single platform. The keynote emphasized practical outcomes: faster request resolution, better employee experience, consistent governance, and flexible integration with existing enterprise systems, with AI as an accelerator for modern service operations.
In "AI in Action", Mr. Bùi Xuân Hiền (CEO & CTO, BiPlus) addressed a common enterprise challenge: many AI initiatives stop at demos or disconnected POCs, and never reach stable operations. BiPlus introduced two key approaches to solve this:
The AI‑Native Solution Lifecycle (Sense - Discover - Design - Deliver) to move from identifying real needs → selecting the right problem → designing → deploying → operating → continuously improving; and
AI Enterprise Architecture (TOGAF-aligned) to ensure AI is designed within the broader enterprise architecture (business, applications, data, platforms), so each AI initiative ties back to business goals and can scale sustainably. These ideas were reinforced through the 4 Solution Spaces and 10 Experience Booths, where participants experienced AI collaboration through practical enterprise scenarios.
In the afternoon, Ms. Aradhana Arora (Senior Principal Partner Solution Strategist, Atlassian) presented Atlassian Service Collection and the shift from IT Service Management (ITSM) to Enterprise Service Management (ESM). She emphasized that Service Collection is a modern service management solution set, not a single tool, designed to standardize and run internal services consistently from request intake to delivery teams. The talk highlighted practical use cases: improving employee service experience, standardizing and automating repetitive workflows, and strengthening coordination between the service desk and downstream teams. The overall message: Service Collection is flexible, integrates well with existing systems, and is ready for AI-enabled service operations.
In "From Discovery to Agentic AI", Ms. Tien Tien Sin (Regional Head, Asia Pacific, Lansweeper) shared how companies can use data, automation, and AI to improve operations and support digital transformation. She explained how Lansweeper helps discover and manage digital assets (devices, endpoints, systems, and applications) and turns this discovery layer into a foundation for agentic AI scenarios. The keynote also showed how Lansweeper can work with Atlassian Rovo and practical AI agents to support better asset visibility, stronger security posture, and smarter automation in multi-platform environments.
Mr. Kenric Tran (Country Lead Vietnam, TiDB) addressed a critical question: "What must the data layer deliver for AI to create real business impact?" He warned that running AI on legacy, fragmented patchwork data systems leads to performance limits, poor scalability, and high operational risk. TiDB highlighted three AI-native data requirements: long-term memory, serverless flexibility, and combining strengths of RDBMS and NoSQL. The takeaway: a modern data foundation helps AI scale with growth, reduces downtime during upgrades, and supports stable long-term operations beyond POCs.
In the Teamwork Collection area, attendees explored how teams manage work and collaborate across departments using Atlassian tools such as Jira, Confluence, Loom, and Rovo. A key highlight was Teamwork Graph, which connects data about teams, tasks, documents, conversations, and goals into one context-rich view. With this connected context, AI can provide more relevant support, summarization, prioritization, and next-step recommendations, across different roles. Attendees also joined live demos, open Q&A, and 1:1 consultations on improving teamwork and visibility in their organizations.
This Solution Space focused on the shift from ITSM to ESM and how Service Collection supports consistent internal services across IT and business functions. Topics included improving employee service experience, standardizing and automating repetitive workflows, and making collaboration between service desks and delivery teams more structured. Attendees viewed demos (e.g., Jira Service Management and Confluence) and discussed how to build service management practices that scale and are ready for AI-powered operations.
The AI‑Native area attracted participants who want to build internal AI-native capabilities, from skills to operating model. Attendees learned about the AI‑Native Solution Lifecycle (Sense - Discover - Design - Deliver) and the role of an AI‑Native Change Agent, the person who connects business goals with AI execution across teams. The discussions also covered how to assess organizational readiness (data, processes, people, and governance) and define a realistic transformation roadmap.
This area demonstrated how to integrate existing enterprise systems with new AI-enabled solutions so systems can work together, not in silos. The focus was on building a connected "system of work" where AI is embedded into the tools, processes, and data that employees use every day. Experts shared how to avoid fragmented tool sprawl and why solution integration partners are essential, from architecture consulting to technical implementation and long-term operations.
If Solution Spaces provided the big picture, the 10 Experience Booths focused on how AI supports specific roles across functions such as Sales, Marketing, HR, Product/PMO, Scrum Master, DevOps, Developer, QA/QC, and Business Analyst.
At each booth, attendees stepped into a workday with AI: they tried real scenarios with an AI teammate and saw how AI supports common tasks. The booths were not simple tool demos, they showed the AI-native approach for each department, including where AI fits in the workflow, which repetitive steps it removes, and what measurable value it adds. Examples included lead prioritization for Sales, content personalization for Marketing, CV screening and onboarding support for HR, test case suggestions for QA/QC, and log analysis for DevOps. The core message: with the right approach per function, AI teammates deliver practical outcomes, not just impressive demos.
One of the most highly rated parts of AI in Action 2026 was the hands-on workshop, where attendees moved beyond theory and designed an implementation framework for their own organizations. The workshop introduced the AI‑Native Solution Lifecycle (Sense, Discover, Design, Deliver) and then guided participants through group work: selecting a real process, identifying pain points, defining target value, and outlining an MVP and value measurement. The session emphasized operating model clarity, roles such as sponsor, decision maker, change agent, and delivery team, and the importance of standardizing process and documentation so AI can run reliably in real operations. By the end, many groups walked away with a practical baseline framework they could apply internally as a clear first step.
Across both Ho Chi Minh City and Hanoi, AI in Action 2026 delivered a complete learning and working experience with AI, deep enough for professionals, but easy to follow without heavy jargon. Participants learned through structured concepts, real examples, and demos, and then practiced through workshops and role-based booths rather than only watching slides. Networking was supported through open Q&A, 1:1 conversations with international experts and the BiPlus team, plus interactive activities such as minigames, a photo booth, and Tarot Worklife, keeping the atmosphere lively while staying focused on practical enterprise value.
As an Enterprise Solutions & AI Transformation Partner, Atlassian Platinum Solution Partner, and a Scaled Agile partner in Vietnam, BiPlus sees AI in Action 2026 as a place for the community to learn, exchange ideas, and test an AI-native approach in real enterprise contexts. The event reinforced that successful AI requires alignment across architecture, data, process, and people, not just technology.
If you're interested in AI-native, Atlassian, Solution Integration & IT Services, or data architecture for AI, contact BiPlus and follow upcoming recaps and activities on:
