A practice founded on the belief that careful thinking precedes useful technology
Havenmark AI was established in Kuala Lumpur to offer Malaysian organisations a considered alternative to vendor-driven AI adoption — one that begins with a question rather than a product.
← Return to HomeHow the practice came to be
Havenmark AI began as a response to a specific gap in the Malaysian market. By the early 2020s, it had become relatively straightforward for a Malaysian firm to acquire an AI platform, engage a systems integrator, or commission a pilot project. What was harder to find was an independent voice that would help an organisation think clearly about whether any of that was the right step, and if so, in what form and at what pace.
The practice was founded by advisors who had observed, across a range of sectors — financial services, logistics, professional services, and government-linked companies — that the organisations which made the most sensible progress with AI were those that had spent time asking precise questions before writing a single requirement. Havenmark was created to support that kind of careful preliminary work.
The practice remains deliberately small. Work is taken on when there is capacity to give it the attention it requires. The volume of engagements is kept at a level that allows thorough work rather than rapid throughput. This is by intention, not circumstance.
Havenmark AI holds no affiliation with any AI vendor, platform provider, or technology reseller. The practice's income derives entirely from advisory fees paid by clients. This independence is considered essential to the value of the work.
Our mission
To provide Malaysian organisations with the kind of honest, written assessment that helps them decide — on their own terms — what role, if any, AI systems should play in their operations.
Registered in Malaysia
Havenmark AI Sdn. Bhd.
Level 24, Naza Tower
Platinum Park, 10 Persiaran KLCC
50088 Kuala Lumpur
info@havenmar
The advisors
Engagements are led by senior advisors with backgrounds in applied research, organisational strategy, and technology governance.
Razif Amiruddin
Principal Advisor
Razif leads engagements in conversational interface strategy and organisational AI readiness. He brings fifteen years of experience advising Malaysian firms on technology decisions.
Siew Lin Tan
Advisory Lead — Forecasting
Siew Lin works with organisations on forecasting model design and validation. Her background is in statistical methodology and its application in Malaysian financial and logistics sectors.
Mohamad Hafiz Ismail
Programme Director — Literacy
Hafiz designs and facilitates the AI Literacy Programme for senior teams. He holds a graduate qualification in education design and has worked with GLC leadership teams across the Klang Valley.
How we conduct our work
The following principles govern how engagements are set up, conducted, and concluded.
Written scope agreements
Every engagement begins with a written scope agreement that defines the question to be addressed, the form of the deliverable, and the fee. There are no scope additions without written amendment.
Confidentiality by default
A mutual NDA is signed before any substantive discussion. Information shared during an engagement is held in confidence and not referenced in any other context or future engagement.
No vendor affiliations
Havenmark holds no commercial relationships with AI vendors or platform providers. Advisory positions reflect the merits of each approach as applied to a client's specific situation.
Continuing professional development
Advisors maintain an active reading and research practice. Developments in AI methodology, governance frameworks, and Malaysian regulatory context are monitored on an ongoing basis.
Peer review of written outputs
All written papers are reviewed by a second advisor before delivery. Where specialist input is needed, an external reviewer with appropriate expertise may be engaged, subject to client consent.
Data protection compliance
The practice observes the Personal Data Protection Act 2010 (Malaysia). Client data is stored securely, retained only as long as necessary, and deleted upon written request.
The work in the broader landscape
Malaysia's technology landscape has matured considerably over the past decade. Public and private sector investment in digital infrastructure, the expansion of cloud services, and the growing availability of AI-capable tooling have created conditions in which organisations of many kinds are, for the first time, seriously weighing up what these systems might mean for their operations.
In that environment, the volume of vendor-generated material about AI has grown considerably. Much of it is well-intentioned, but it is produced by parties with an interest in a particular commercial outcome. The organisations that have navigated this period most thoughtfully have tended to invest in internal understanding — building the capacity to ask good questions — before committing to a direction.
Havenmark AI's practice is oriented toward that kind of preparatory work. The conversational interface consultation, the forecasting model advisory, and the senior team literacy programme are each designed to improve the quality of an organisation's internal deliberation, rather than to accelerate a procurement decision.
The practice serves clients across Kuala Lumpur and the broader Malaysian market, with engagements conducted in English. We work with GLCs, multinational subsidiaries, financial institutions, and professional services firms.
If the work sounds relevant, we are happy to talk
An initial conversation carries no obligation. It takes roughly thirty minutes and helps both sides establish whether there is a reasonable fit before any further commitment is made.
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