AI for Malaysian Telco and 5G
Maxis, CelcomDigi, U Mobile and Telekom Malaysia are running parallel programmes across 5G rollout, BSS and OSS modernisation, enterprise growth, customer experience and network operations. DNB sits behind the 5G rails. MCMC sets the policy frame. We help product, network, customer and enterprise teams across this ecosystem build AI capability that holds up across the merger integrations and post-JENDELA expectations.
Malaysian telco is restructuring while it modernises
The CelcomDigi merger has redrawn the competitive map. U Mobile is preparing to operate the second 5G network alongside DNB. Maxis continues to push enterprise and convergence. Telekom Malaysia carries the fixed line and wholesale backbone. The JENDELA programme keeps lifting coverage and quality expectations. MCMC's frameworks on spectrum, consumer protection and network resilience define the operating boundaries.
Inside every one of these institutions, the same capability question sits on the table. How do we operate AI at scale, across network, product, customer and enterprise, without ending up with a hundred uncoordinated pilots? The Malaysian telco workforce is highly capable and increasingly expensive. The next leg of productivity has to come from how the work is organised and how AI is woven through it, not from another wave of headcount.
That is exactly where Agile-meets-AI capability sits. Telcos have used Agile for years. Most have institutionalised some version of it across digital, BSS and OSS. The new layer is making AI a daily practice across the same teams, with a posture that MCMC, the board and customers can all read in the same way.
What is actually missing inside Malaysian telco teams
1. AI used as a copilot, not as a workflow
Engineers and analysts use AI as a smart search. The compounding gains from agentic workflows across triage, RCA, forecasting and customer ops are mostly untapped.
2. Post-merger operating models that have not converged
Merged telcos carry two heritages of product, two heritages of Agile, two heritages of governance. Without a deliberate operating-model convergence, the integration drags for years.
3. Enterprise segment teams that cannot sell AI
Telco enterprise sales teams pitch connectivity. They are slower to land AI and edge propositions because the internal capability has not caught up with the external promise.
4. Customer experience teams without a defensible automation posture
Contact centres, chatbots, voicebots and digital channels are full of partial automation. Without a posture, complaints and regulator scrutiny erode trust.
The courses that fit a Malaysian telco cohort
Agentic AI Workflows
For product, network operations, customer and enterprise teams. Workflows for triage, RCA assistance, forecasting, drafting customer comms and enterprise proposal augmentation. View course
AI-Enabled Product Owner
For BSS, OSS, digital and enterprise product owners running 5G-era roadmaps. View course
Responsible AI Adoption
For product, risk, compliance and regulatory affairs working together on consumer protection, fairness and data handling that hold up to MCMC scrutiny. View course
Leading AI Transformation
For C-suite and group functions setting the AI posture for the institution across network, product, customer and enterprise. View course
What changes after the cohort
Workflow-grade AI in daily operations
Network ops, customer ops and product teams operate AI as a workflow, not a copilot. Cycle times come down on the work that used to consume disproportionate time.
Post-merger product organisations that converge faster
Merged product orgs adopt a shared product language and a shared AI posture. The integration debt clears faster.
Enterprise teams that can sell AI
Enterprise account teams articulate AI propositions in a way that B40, M40 and corporate buyers all understand, anchored in the connectivity they already own.
Customer experience that defends itself
Customer ops design automation with a posture that holds with MCMC, with consumer associations and with the call coming in on the next escalation.
"Telco teams I have trained across the region share a pattern. They are extraordinarily capable on the engineering side and undertrained on the operating model side. The next leg of value in Malaysian telco is going to come from how AI is woven into the daily work of network ops, product, customer and enterprise, not from another vendor demo. That is what we teach, and we do it inside a structure Malaysian employers can fund through HRD Corp. My Train-the-Trainer certification is part of the commitment to operate that way."
Prashant Shinde, Founder & Lead Trainer, Agile VisaTalk to us about a telco cohort
We start with a Training Needs Analysis. Cohorts can run at your KL, Cyberjaya or Shah Alam premises, or fully online for distributed network and product teams.
Book a discovery call with PrashantQuestions Malaysian telco buyers ask
Do you cover MCMC requirements?
We discuss the practical implications of MCMC's policy direction, JENDELA, and the dual 5G network direction as they affect telco product and operations teams. We do not represent MCMC and we encourage clients to confirm specific obligations through their regulatory affairs function.
Is this designed for post-merger telco teams?
Yes. The CelcomDigi integration journey and the broader market consolidation make post-merger operating model work a recurring theme. We adapt content to merged teams who need shared cadences and a shared product language.
Is this HRD Corp claimable for Malaysian telcos?
Our founder, Prashant Shinde, is HRD Corp Accredited Trainer. Agile Visa is not yet an HRD Corp registered training provider, so these programmes are not HRD Corp claimable at this time.
What pricing should we expect in MYR?
Public AI courses start from RM1,500 per participant. Private corporate cohorts are quoted per engagement. Fees exclude SST.
Can you deliver in-person at our KL or Cyberjaya office?
Yes. We deliver private cohorts in-person at client premises across Kuala Lumpur, Cyberjaya and Selangor, and fully online for distributed network and product teams.
Who should attend from a telco?
Product owners, network operations leads, BSS and OSS product managers, customer experience leads, enterprise and SME segment teams, and senior leaders carrying group AI direction.
How do you handle customer data and CDR sensitivity?
We do not request live customer data or call detail records. Exercises rely on synthetic data, structured case studies and the client's own anonymised scenarios. Our Responsible AI Adoption module covers PDPA-aligned data handling.
Do you cover network use cases like RAN energy or fault prediction?
We cover AI patterns relevant to telco operations including capacity planning, anomaly detection and energy efficiency, focusing on the operating model and the team practices rather than the model science.