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On 28 January 2026, at the Qwen Meetup in Kuala Lumpur, VisionGroup had the opportunity to share how we are building localisation-driven, enterprise-ready intelligence, designed not just to impress in demos, but to perform reliably in real business environments across Southeast Asia and beyond.
What stood out most from the conversations at the event was a shared realisation among practitioners, builders, and enterprise leaders alike: intelligent systems only deliver real value when they genuinely understand language, context, and intent. Without this foundation, even the most advanced models struggle to gain trust or scale meaningfully within organisations.
This belief sits at the core of how VisionGroup designs, deploys, and governs enterprise intelligence today. Read the full article below to explore how VisionGroup, together with Qwen and Alibaba Cloud, is translating localisation-first AI into real enterprise impact.
From Demos to Deployment: AI Built for Real Enterprise Use
During the meetup, we introduced the Vision AI Suite (AIS), our end-to-end AI platform designed specifically for enterprise adoption, covering both customer-facing and internal use cases.
Rather than fragmented tools or siloed pilots, the Vision AI Suite is built as a unified system that organisations can deploy consistently across departments. On the customer engagement side, this includes AI Sales, AI Commerce, AI Customer Service, AI Advisor, and AI Concierge. Internally, enterprises leverage AI Assistants, AI Support, AI Instructors, AI Analysts, and AI Managers to enhance productivity and decision-making.
All modules operate on a single, governed platform – ensuring consistency, scalability, and compliance as AI moves from experimentation into core business operations. This unified design becomes especially critical once AI begins handling high-volume, business-critical workflows.
To support this level of enterprise readiness, infrastructure plays a decisive role.
Enterprise-Grade by Design: Powered by Alibaba Cloud
Vision’s AI solutions are supported by Alibaba Cloud, which provides the enterprise-grade foundation required to operate reliably at scale.
This includes Elastic Compute Service (ECS), Elastic Container Instance (ECI), Object Storage Service (OSS), Function Compute, Alibaba Cloud Container Registry (ACR), Key Management Service (KMS), Anti-DDoS & Security Solutions, and Cloud Monitoring – ensuring scalability, security, observability, and enterprise-grade reliability.
These services enable Vision to deliver AI systems that are resilient, secure, and compliant by design, capable of supporting production workloads across multiple regions and industries. This infrastructure foundation allows enterprises to scale AI adoption confidently without compromising governance or performance.
With this technical backbone in place, the focus shifts to how AI works alongside people.
Generative AI That Augments Humans, Not Replaces Them
VisionGroup approaches Generative AI through an AI-Human-Centric integration model. Rather than positioning AI as a replacement for human teams, Vision designs AI to augment human capability – automating repetitive, high-volume tasks while freeing people to focus on judgement-based, creative, and strategic work.
In practice, this enables organisations to reduce operational costs, respond faster to customers, make better-informed decisions, and scale engagement without linear headcount growth. AI becomes an accelerator for teams, not a disruption to them.
However, for this model to succeed across Southeast Asia, AI must also understand how people actually communicate.
Localisation at the Core: Making Enterprise AI Trustworthy with Qwen
A key highlight at the meetup was how Vision leverages Qwen as the intelligence layer behind its AI solutions.
Serving enterprises across Southeast Asia and beyond means operating in environments where language diversity, cultural nuance, and local phrasing directly impact AI adoption. Through its collaboration with Qwen, Vision’s AI solutions natively support regional languages, understand local conversational intent, and retrieve knowledge accurately across multilingual enterprise datasets.
The result is AI that communicates naturally with customers and employees in their own language, within their own context, and at enterprise scale. This localisation-first approach is essential for building trust and long-term adoption.
As AI becomes more deeply embedded into day-to-day business workflows, accuracy and reliability become just as critical as language fluency. Enterprises no longer evaluate AI based on how well it responds, but on whether it can be trusted to support real decisions.
Elevating AI from Automation to Enterprise Decisioning
At the Qwen Meetup, we also shared how Vision is moving beyond task automation to enable trusted AI decisioning.
Powered by Vision’s Sentiment Analysis & Sales Scoring, enterprises gain real-time visibility into customer intent, urgency, and buying signals across conversations. This enables teams to prioritise high-value interactions, improve lead qualification, and route opportunities to the right people at the right time.
Combined with improved retrieval accuracy through reranking and relevance scoring, Vision’s AI reduces hallucinations while maintaining strong data integrity and governance. As a result, AI moves beyond simply answering questions—towards supporting real operational and strategic decisions based on trusted enterprise data. At this stage, AI evolves from a support tool into a dependable decision partner.
To ensure this intelligence delivers consistent value across the organisation, the Vision AI Suite is designed to operate seamlessly across enterprise communication channels, including voice and call, messaging platforms such as WhatsApp and Telegram, web chat, and email. Customers and employees receive a consistent, contextual AI experience regardless of how they choose to engage.
This level of cross-channel consistency is critical for maintaining trust, reducing friction, and enabling AI adoption to scale smoothly across teams and departments. To help enterprises achieve this impact in a structured and repeatable way, Vision also provides a clear execution framework that guides deployments from initial use cases to organisation-wide adoption.
The AI Success Blueprint: From AI Adoption to Business Impact
Towards the closing session of the event, Vision also shared the AI Success Blueprint → a structured approach designed to help organisations move beyond AI experimentation and deliver tangible, measurable business outcomes.
The blueprint is anchored on 3 complementary pillars “AI Impact Matrix, AI Transformation Framework, and AI Growth Insights” working together to ensure AI initiatives are prioritised correctly, executed effectively, and continuously optimised over time.
As adoption matures over the next 3–12 months, AI becomes embedded across teams and workflows, delivering more than 20% sales uplift and over 35% efficiency gains through smarter automation and data-driven execution.
Beyond 12 months, the AI Success Blueprint supports sustainable innovation and market leadership, with AI operating as a core capability – continuously generating insights, improving decisions, and unlocking new growth opportunities.
Stay tuned for our upcoming workshops and events to experience the AI Success Blueprint in action and learn how to apply it within your organisation!
Building What’s Next in Enterprise Intelligence!
The conversations and engagement at the Qwen Meetup highlighted a growing readiness among enterprises to move beyond experimentation and start deploying localisation-first, enterprise-ready intelligence that delivers real business impact.
As organisations navigate this next phase, the focus is clear: deploying solutions that work reliably across languages, cultures, channels, and real operational environments, not just in controlled demos.
VisionGroup looks forward to continuing these conversations with enterprises, partners, and the wider ecosystem. Through our upcoming workshops, events, and real-world deployments, we’ll be sharing how organisations can apply the AI Success Blueprint to drive measurable outcomes, build trust, and scale intelligence sustainably.
If you’re exploring how localisation-driven enterprise intelligence can support your organisation’s growth journey, stay connected with VisionGroup for upcoming sessions, insights, and collaborations!
