Business & Infrastructure / AI news for Malaysia
From the archive · Event date 14 October 2024
TM opened a 300-seat AI service centre in Marang. Did it reach 1,500?
The East Coast centre was designed to combine people, conversational AI, virtual agents and automation. TM named a public-service customer and a five-language capability, but did not publish later capacity, jobs or service results in the sources checked.
In brief
- TM One launched what it called the East Coast's first Global Business Services Centre in Marang, Terengganu, on 14 October 2024.[1]
- The centre opened with 300 seats, was designed to scale to 1,500, and offered Bahasa Malaysia, English, Mandarin, Tamil and Arabic service capabilities.[1]
- TM described conversational AI, virtual agents, digital channels and robotic process automation, but the checked source did not publish subsequent seat usage, employment, automation or customer-service outcomes.[1]
TM One opened a real 300-seat centre with a conditional path to 1,500 seats
Telekom Malaysia, through TM One, opened a Global Business Services centre in Marang on 14 October 2024. The company presented it as the first such centre on Malaysia's East Coast and as a regional base where AI and robotic process automation could support customer and government service operations.[1]
The launch combined an operating plan and an economic promise. TM said the secure cloud-based centre would use conversational AI, virtual agents and digital channels, begin with 300 seats and expand to 1,500 as demand grew. It also framed the facility as a way to strengthen Marang's talent ecosystem and attract projects into the East Coast Economic Corridor.[1]
The starting capacity and intended technology are documented. The later result is less visible. In the first-party material checked for this archive article, Utopia did not find a public tally of active seats, new local jobs, completed AI-assisted interactions, waiting-time changes or customer-satisfaction gains after launch.[1]
The centre was built as a multilingual service operation, not a lights-out AI facility
TM's description placed people and software in the same delivery model. The centre could integrate with an organisation's existing systems, receive interactions through voice and digital channels and use conversational AI or virtual agents where appropriate. Robotic process automation was part of the broader technology mix for repetitive service work.[1]
Its five-language capability was unusually specific: Bahasa Malaysia, English, Mandarin, Tamil and Arabic. For a shared-services centre, that can widen the kinds of projects handled from one location and make East Coast language talent part of the commercial proposition. It does not by itself show how many employees were recruited for each language or what level of work they performed.[1]
The launch photographs reinforce that this was a real operating site. They show state and TM leaders inside the centre and touring a floor with staffed workstations. They do not establish the later scale of the operation, so the photographs are evidence of launch and physical presence rather than proof that all planned capacity was filled.[1]
Syarikat Air Terengganu gave the centre a concrete public-service use case
TM said the centre was slated to serve key state agencies, including water utility Syarikat Air Terengganu, known as SATU. The company described this as an extension of TM One's existing management of SATU's contact centre for a utility serving 1.2 million residents.[1]
The scope covered voice calls and digital queries through channels such as the public complaints system SISPA, water regulator SPAN and social media. That matters because a utility contact centre deals with interruptions, bills, complaints and service updates where routing, speed and accuracy can directly affect residents.[1]
A meaningful scorecard would show whether the new operation shortened response time, resolved more cases on first contact, reduced repeat calls and escalated urgent water problems correctly. The launch announcement named the channels and population served but did not provide a baseline, target or later comparison for those service measures.[1]
Regional job creation and automation need to be measured together
A 300-seat starting footprint can support substantial employment, and a 1,500-seat facility would be far larger. Yet a seat is a capacity unit, not automatically a filled full-time job. Expansion was explicitly tied to demand, so readers should not interpret the maximum design as an achieved headcount.[1]
AI can also change the work inside each seat. Virtual agents may absorb simple requests while human staff handle difficult, emotional or high-risk cases. RPA may remove repetitive steps while creating demand for quality assurance, workflow design, data operations, language support and escalation management. The quality of the jobs matters alongside the number.[1]
For the centre to demonstrate inclusive regional growth, TM or its partners could publish active seats, local hiring, training completed, retention, pay bands by role, promotion pathways and the share of interactions handled or assisted by automation. That would show whether the investment strengthened East Coast capability rather than moving routine work to a new address.[1]
Why Malaysia should care
The Marang centre matters because it placed an AI-enabled service operation outside the Klang Valley and tied the investment to East Coast talent, public-service delivery and regional growth. The long-term test is whether the centre created durable skilled work and measurably improved service rather than simply adding technology to a contact centre.
Terengganu workers
The centre created a new location for multilingual digital-service work outside the Klang Valley.[1]
Practical move: Look for role-specific hiring, training and career pathways rather than treating maximum seat capacity as jobs already created.
State agencies
Voice, complaints and social channels could be managed through one cloud-based service operation.[1]
Practical move: Set public baselines and targets for response, resolution, escalation and citizen satisfaction before expanding automation.
Business leaders
The facility was designed for custom integration and large projects with multilingual coverage.[1]
Practical move: Evaluate the human-plus-AI operating model, data controls and measurable service gains rather than buying an AI label.
What Malaysians can do now
- Publish current active seats, local employment, projects served and progress against the conditional 1,500-seat design.
- Report service outcomes for named public channels, including response time, first-contact resolution and escalation accuracy.
- Show how conversational AI, virtual agents and RPA changed tasks, training needs, job quality and human oversight.
What we still do not know
The launch plan was specific; the later operating and employment results were not in the checked source.
- How many of the initial 300 seats became active and whether the centre later expanded toward 1,500.
- How many jobs were filled locally, what skills and languages they required, and how workers progressed after hiring.
- Whether AI-assisted channels improved SATU or other customer outcomes compared with the previous service baseline.
Sources
- 1.TM launches first AI-enabled GBS Centre in the East Coast Telekom Malaysia and TM One, 14 October 2024
