We’re advancing our transformation into Asia’s leading “AI-native company” by embedding AI across the entire organization, across platforms and operations – a deep integration into the foundations of our company.
This transformation has the goal of doubling productivity in just one year, and reimagining our platforms, operations and talent to take an AI-first approach. Over 100 AI utllization projects are already underway company-wide, with early implementations already leading to tangible outcomes such as improved operational efficiency and enhanced services.
1. The AI-native future we’re aiming to create
Our vision of being AI-native goes beyond simply using AI as an assistant in daily tasks. Instead, we envision a world where AI autonomously performs tasks as an agent – a norm for every business.
In such a setting, the role of humans will shift significantly from manual “executors” of work to “architects,” “enablers,” and “strategists” who build and optimize environments where AI can perform effectively. To fully tap on the benefits of AI, human creativity and system design will become more critical than ever.
A key personal skill in this era will be the ability to contextualize one’s expertise and experience in a way that AI can understand and utilize, providing the right background, assumptions and context. Furthermore, human traits that are difficult to codify, such as empathy, nuance, sensibility and physical presence, will continue to grow in value.
At AnyMind, we see AI-native as more than a technology initiative. It’s a symbolic concept for evolving how people and society function. Through transformation at every level of our organization, we aim to deliver powerful new value to our customers and the greater society.
2. Completion of tasks by communicating with AI: The context-based integrated AI execution model
One of our primary models is a context-based integrated AI execution system, where users simply communicate in natural language and AI completes the task.
Through everyday interfaces such as chat tools, users can initiate conversations in natural language. The AI then references internal data, documents, CRM tools, and even public data from the internet and social media, analyzing it across contexts to generate the right output.
The core enabler is an infrastructure that captures and structures the context of daily operations. We’re strengthening our environment to manage unstructured data like meeting minutes, reports, proposals, chat messages, even visuals – which were traditionally siloed areas.
By storing not only quantitative data, but also text, images and files in a structured, secure and accessible manner, AI can more practically and effectively drive automation and service enhancement.
Additionally, human collaboration is essential for AI to function properly. While AI is excellent at detecting patterns, humans are still required to interpret and make decisions based on output. We’re reskilling people to work with AI, leveraging their knowledge and context for more effective outcomes.
We know that creating an AI-native company requires more than technology. It demands a fundamental redesign of the relationship between people and data.
3. Saving 800 hours a month in CRM tasks through chat + AI agent
We conducted a comprehensive analysis of everyday workflows across our offices and business units, identifying areas with the highest potential impact from AI. Over 100 cross-functional AI initiatives were launched as a result.
One example is the automation of customer information management, centered around our internal communication tool.
Previously, CRM tasks involved switching between various platforms and manually inputting over 4,500 new records and 15,000 edits a month, resulting in workload strain and human errors. Updates were also concentrated towards the end of the month, reducing real-time accuracy during the rest of the month.
To solve this, we redesigned the workflow so that a simple, natural-language message on a chat tool could update our CRM. Through AnyAI, our in-house AI agent interprets messages, extracts and converts relevant data, and updates our CRM automatically.
Now, just sending a message to a teammate also updates the CRM – improving update frequency, data reliability and reducing errors.
With highly accurate natural language processing, AnyAI supports input in a user’s native language, minimizing language-related burden and significantly benefiting our international operations.
This implementation is expected to save around 800 work hours per month, allowing teams to focus on more creative, value-added tasks. At the same time, it empowers leadership with real-time, reliable data for faster decision making.
These multi-layered AI deployments are helping us build globally scalable workflows based on an AI-first foundation, paving our path toward becoming an AI-native company.
4. Transforming ourselves to deliver new value to our customers
We believe that the transformation of our platforms, operations and talent through AI directly translates into new value for our clients.
The practical knowledge and frameworks developed through our transformation are now being shared externally through our platforms such as AnyAI, supporting enterprise AI transformation, business process transformation, and new value creation.
As a leading AI-native company from Asia, we’re celebrating our 10th anniversary next year, and beyond, by fundamentally evolving the way we do business – and in turn, enabling the powerful acceleration of business transformation across the world.
