KUALA LUMPUR, Malaysia – Mandrill Tech has been officially recognised by Asia Record as the “Leading AI & Data Technology Partner for Enterprise Transformation in 2025,” highlighting the Malaysian technology company’s work in helping organisations turn data and artificial intelligence into practical business solutions.

Led by CEO Davent Low, Mandrill Tech operates across enterprise data platforms, business intelligence, artificial intelligence and machine learning, systems integration, data visualisation and custom enterprise technology.

Its approach reflects an increasingly important shift in the AI industry: businesses are moving beyond asking what artificial intelligence can do and beginning to ask where it can create measurable value.

Rather than treating AI as an objective by itself, Mandrill Tech focuses on understanding the underlying business challenge, organising the relevant data and then determining where technology can improve the outcome.

Businesses can explore its technology solutions through the Official Mandrill Tech’s Website.

AI Is Everywhere, but Businesses Still Need a Reason to Use It

Artificial intelligence has rapidly become one of the most discussed technologies in business.

Companies are experimenting with generative AI, intelligent assistants, automation, predictive analytics and machine learning. Executives are under pressure to understand how AI could affect their industries, while employees are increasingly using AI tools within everyday workflows.

But widespread interest creates another problem.

Businesses can easily begin with the technology instead of the problem.

An organisation may decide that it “needs AI” without first identifying what it actually wants AI to accomplish.

Mandrill Tech takes a more practical position. Davent Low has publicly explained that companies should begin by identifying operational pain points and understanding what data is available before deciding how AI should be implemented.

That distinction is important.

Technology creates value when it solves a problem, not simply because it is new.

Mandrill Tech Recognised by Asia Record

Mandrill Tech’s development within enterprise AI and data technology resulted in its official recognition by Asia Record as the “Leading AI & Data Technology Partner for Enterprise Transformation in 2025.”

The recognition highlights the company’s work across data, analytics, AI and enterprise technology while reflecting the growing importance of these capabilities within modern organisations.

It also recognises the contributions of Mandrill Tech’s engineers, technology specialists, clients and wider business network.

Commenting on the recognition, Davent Low, CEO of Mandrill Tech, said:

“We are honoured to be recognised by Asia Record as the leading AI and data technology partner for enterprise transformation. This achievement reflects our dedication to innovation and our mission to empower businesses through intelligent technology solutions. We will continue to push the boundaries of AI and data to help our clients succeed in the digital era.”

Before AI Comes Data

One of the most important realities of enterprise AI is also one of the least glamorous.

AI depends on data.

A company may have years of information stored across accounting systems, customer databases, spreadsheets, enterprise software, operational platforms and individual departments.

The problem is that this information may be fragmented.

Sales has one version.

Finance has another.

Operations maintains separate reports.

Management receives information after considerable manual consolidation.

Before sophisticated AI can create meaningful intelligence, businesses often need to address the underlying data environment.

This is why Mandrill Tech’s offering extends beyond AI itself into enterprise data platforms, business intelligence, integration and data visualisation.

Getting the data foundation right can be as important as the AI layer built on top of it.

Turning Reports Into Decisions

Businesses have been generating reports for decades.

The problem is that having more reports does not necessarily result in better decisions.

A management team might receive hundreds of pages of information every month while still struggling to answer relatively simple questions quickly.

What is changing?

Where is performance deteriorating?

Which customer segment is growing?

Where are costs increasing?

What needs management attention today?

Modern business intelligence attempts to reduce the distance between data and decision-making.

Dashboards can bring information from different sources together and present it in a format that allows managers to identify patterns more quickly.

AI can potentially take this further by helping users interrogate information, identify anomalies and interact with organisational data more naturally.

Mandrill Tech’s own positioning captures this idea simply: turning business data into decisions rather than just reports.

Enterprise AI Is Different from Consumer AI

Most people experience AI through consumer applications.

They ask a chatbot a question, generate an image, summarise a document or draft an email.

Enterprise AI operates in a much more demanding environment.

A bank cannot simply upload confidential customer information into an unknown system.

A listed company needs governance around financial and operational data.

Infrastructure operators may work with systems where reliability is critical.

Organisations need to consider security, permissions, data governance, integration, regulatory requirements and accountability.

This means enterprise AI implementation involves much more than choosing a model.

The technology needs to work within the organisation’s existing environment.

Mandrill Tech’s work across banking, retail and infrastructure illustrates why understanding industry context becomes important when deploying enterprise technology.

Security Becomes More Important as AI Becomes More Powerful

The more useful an AI system becomes, the more sensitive the information it may need to access.

That creates a fundamental tension.

Businesses want AI systems that understand their organisation deeply enough to provide useful answers.

But giving technology access to more organisational information creates additional security and governance considerations.

Who can access which information?

Where is the data stored?

Can sensitive information leave the organisation?

How are permissions managed?

How are AI-generated outputs verified?

These questions are becoming central to enterprise transformation.

Mandrill Tech identifies ISO 27001 certification among its credentials, reflecting the importance of information security management within enterprise technology.

As AI adoption accelerates, security will increasingly become part of the product rather than something added afterwards.

From Dashboards to AI Assistants

The way employees interact with business information is also changing.

Traditionally, someone who wanted an answer from company data might need to request a report from another department.

Business intelligence dashboards improved this by allowing users to explore information directly.

AI assistants could take the next step.

Instead of navigating multiple dashboards, a manager may increasingly be able to ask questions in ordinary language.

“What happened to sales last month?”

“Which region recorded the biggest decline?”

“What expenses increased unexpectedly?”

“Which customers require attention?”

The system could potentially analyse authorised organisational data and present the relevant information.

This does not eliminate the need for human judgement.

It changes how quickly people can reach the information required to exercise that judgement.

AI Should Support People, Not Remove Responsibility

One of the dangers surrounding artificial intelligence is assuming that automation removes the need for human decision-making.

In reality, AI can make mistakes.

Data can be incomplete.

Models can produce inaccurate conclusions.

Context can be misunderstood.

For important business decisions, human judgement remains essential.

The stronger model is therefore often human plus AI.

Technology can process large quantities of information quickly.

People provide context, experience, ethics and accountability.

This relationship is particularly important in areas such as finance, governance and strategic decision-making, where the consequences of an incorrect conclusion can be significant.

Building Technology Around the Business

Another important distinction in enterprise transformation is the difference between adapting the business to technology and adapting technology to the business.

Every organisation operates differently.

Approval processes differ.

Reporting structures differ.

Legacy systems differ.

Regulatory obligations differ.

Customer journeys differ.

A technology implementation therefore needs to understand the organisation rather than assuming every company can operate according to the same template.

Mandrill Tech’s services include custom enterprise solutions and software consulting alongside its data and AI capabilities.

This allows technology implementation to begin with business requirements rather than simply deploying a standardised product.

AI Can Be Powerful When Connected to Existing Systems

Many enterprises have spent years investing in technology.

They already have enterprise resource planning systems, customer databases, financial software, HR platforms and industry-specific applications.

The objective of AI transformation should not necessarily be to replace everything.

Often, the greater opportunity is connecting existing systems more effectively.

Integration allows information to move between applications.

Data platforms can consolidate information.

Analytics can identify patterns.

AI can provide another interface through which people interact with those systems.

This layered approach can make transformation more realistic for established businesses.

Companies do not always need to rebuild their entire technology infrastructure to begin extracting more value from it.

Building Enterprise Products from Real Problems

Mandrill Tech has also developed its own technology products around specific enterprise requirements.

One example is Lestar, an enterprise data management platform designed to centralise fragmented organisational information and transform it into management insights.

Its capabilities include ESG data collection, sustainability reporting, carbon-related data management, stakeholder information and compliance monitoring.

Another example is Net7, an AI-powered smart CRM platform co-developed with MoneyX that converts business-card information into searchable and categorised corporate data.

Net7 illustrates how AI can be applied to a very specific business problem.

Companies accumulate enormous numbers of business contacts through meetings, conferences and networking events. Traditionally, much of that information remains fragmented across individual phones, physical cards and personal contact lists.

Digitising and structuring those relationships can turn static contact information into a more useful organisational resource.

Digital Transformation Is Not an IT Project

One of the most common misconceptions about digital transformation is that it belongs entirely to the IT department.

Technology may be the tool, but transformation affects the entire organisation.

Finance changes.

Operations change.

Customer service changes.

Management reporting changes.

Employees may need new skills.

Processes may need to be redesigned.

Leadership therefore becomes critical.

A sophisticated AI platform cannot transform an organisation if employees refuse to use it or management has not defined what success should look like.

This is why enterprise technology projects increasingly require collaboration between technology teams and business leadership.

The objective is not to install software.

The objective is to change how the organisation works.

Malaysia Has an Opportunity in Enterprise AI

The rapid development of artificial intelligence also creates opportunities for Malaysia’s technology sector.

Enterprises need solutions that understand local regulations, industries and business practices.

Financial institutions need technology that can operate within Malaysian regulatory requirements.

Public-listed companies need systems that reflect reporting and governance expectations.

Local businesses may also prefer technology teams they can communicate with directly rather than relying entirely on overseas providers.

Mandrill Tech currently says it has more than 150 engineers based in Petaling Jaya, giving the company a substantial local technical base from which to develop and implement enterprise solutions.

This local capability can become increasingly valuable as more Malaysian organisations move from AI experimentation towards deployment.

The Next Challenge Is Moving from AI Experiments to AI Operations

Many organisations are currently experimenting with AI.

Employees are testing chatbots.

Departments are running pilot projects.

Management teams are attending AI workshops.

The next phase will be more difficult.

Businesses need to determine which experiments deserve to become operational systems.

That requires questions around return on investment, governance, security, data quality, employee adoption and long-term maintenance.

A demonstration can be built quickly.

An enterprise system that works reliably every day is much harder.

This transition from experimentation to operations is where experienced technology implementation becomes particularly important.

Enterprise Transformation Needs Measurable Outcomes

AI investment will increasingly need to justify itself.

Boards and management teams will eventually ask straightforward questions.

Did the technology reduce costs?

Did employees become more productive?

Did decision-making improve?

Did customers receive faster service?

Did the company reduce risk?

Did revenue increase?

Technology projects that cannot answer these questions may struggle to maintain support once the initial excitement surrounding AI begins to fade.

This reinforces Mandrill Tech’s problem-first philosophy.

Starting with a clearly defined business problem makes it easier to determine whether the technology actually solved it.

The Future Is Intelligent, but It Still Needs Strategy

Artificial intelligence will almost certainly become more deeply embedded in enterprise systems.

Business applications will become more conversational.

Analytics will become more predictive.

Automation will handle increasingly complex workflows.

Data will become more accessible to decision-makers.

But having access to AI will not automatically create competitive advantage.

Eventually, almost every company will have access to powerful AI tools.

The difference will be how effectively organisations apply them.

Do they have the right data?

Do they understand the business problem?

Can they integrate technology into existing operations?

Can employees use the systems effectively?

Can management measure the results?

These questions will determine whether AI becomes a genuine business capability or simply another technology investment.

Continuing the Mandrill Tech Journey

Mandrill Tech’s recognition by Asia Record as the “Leading AI & Data Technology Partner for Enterprise Transformation in 2025” represents an important milestone as the company continues developing its position within Malaysia’s enterprise technology landscape.

The opportunity ahead is significant.

Businesses across almost every industry are trying to understand what artificial intelligence means for their operations.

Some will move too slowly.

Others may move too quickly without a clear strategy.

The strongest organisations will likely be those that find the balance between experimentation and discipline.

For Mandrill Tech, that means continuing to combine AI capabilities with the less visible foundations that make enterprise technology work: data, integration, security, engineering and an understanding of the business problem.

Because the most important question for an enterprise is not:

“How do we use AI?”

It is:

“What problem are we trying to solve, and can AI help us solve it better?”

Businesses can explore Mandrill Tech’s AI, data and enterprise technology capabilities through the Official Mandrill Tech’s Website.

For more information about this recognition and other remarkable achievements across Asia, visit AsiaRecord.com.

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