AI Transformation

Our programme for taking a whole organisation onto AI over months or a year. We plan the rollout with you and train each department and level, and every participant builds a working AI workflow for their own job.

A participant speaks up in a full training room
A Mereka facilitator asks the room a question with a microphone

Who it's for

Built for organisations moving to AI together

HR and L&D leads

You run AI training across the company and need one partner to plan, deliver and report on it for the year.

Organisations with several departments or sites

Large organisations, trained cohort by cohort on the AI tools your organisation has approved.

Leaders and staff in one programme

Leaders work on decisions and budgets; staff build workflows for their own jobs.

Delivery at scale

Delivery planned cohort by cohort

AI Transformation brings the way we deliver large programmes into one organisation, planned around your departments, sites and tools.

National programmes

As implementation partner for the national AI programmes Biji-biji Initiative runs with Microsoft, Google.org, IBM and Micron, we help deliver training at national scale.

Hands-on programmes

Mereka has trained thousands of working adults in hands-on programmes since 2021. AI Lab’s company programmes have trained about 500 staff since November 2025, in small groups across Malaysia.

A proposal for your organisation

Tell us your departments, numbers and tools. We send a detailed proposal: the cohort plan, the trainers, the timeline, the reporting and the budget.

How a rollout runs

One programme, every department, over months

We plan the rollout with you, prove it in a pilot, then take it department by department.

  1. Stage 1

    Plan

    First weeks

    Leadership sets the goals. We run a needs survey across departments, check tools and data rules with IT, and agree a rollout plan by department and level.

  2. Stage 2

    Pilot

    One or two departments

    The first cohorts run the full five phases below. We review the results with you and agree any changes before scaling.

  3. Stage 3

    Scale

    Department by department

    Cohorts across departments, sites and levels: AI Foundation for everyone, deeper levels for AI champions and IT, Strategic AI Leadership for leaders, and AI Workspace Setup where tools need to be set up first.

  4. Stage 4

    Report and sustain

    Every month

    Monthly alumni sessions keep people going, and an ROI report for leadership can close the year.

Inside every cohort

Five phases, from preparation to impact review

  1. Before the workshop

    Pre-engagement preparation

    We build the workshop on your team's own workflows.

  2. Workshop day

    Workshop delivery

    A full-day, hands-on workshop with your team's own tools and data scenarios. Every participant leaves with a workflow design and a build plan, plus three AI actions for the next 90 days.

  3. After the workshop

    Post-workshop build period

    Participants build their workflow, with daily help from our trainers.

  4. End of build period

    Showcase Day

    Your team presents the workflows they built, and leadership watches the top ones run live.

  5. +1 month

    Impact evaluation

    One month on, we measure what changed: tool adoption, time saved and workflows sustained. How we measure it.

What happens in each phase

Phase 1 · Before the workshop

Pre-engagement preparation

  • A survey for every participant on the tools they use, where their time goes and their targets
  • Technical readiness check: IT policies, approved tools, data governance constraints, VPN and access requirements
  • A prompt and agent library built from your team's use cases
  • Pre-workshop assessment to set each participant's baseline AI confidence

Phase 2 · Workshop day

Workshop delivery

  • A full day of hands-on work in your team’s own tools, with your data scenarios
  • Every participant leaves with a workflow design and a build plan
  • Three AI actions for each participant for the next 90 days

Phase 3 · After the workshop

Post-workshop build period

  • Daily office hours: open sessions where participants bring their own work and get live help
  • A trainer on call in a shared chat for quick questions
  • A mid-build check-in to review progress and clear what is stuck
  • A troubleshooting guide for the common problems in each tool

Phase 4 · End of build period

Showcase Day

  • Peer showcase circles: every participant presents in small groups (3 minutes each)
  • Gallery wall with peer voting on the four criteria: frequent, measurable, team-wide and working
  • Top 5 live demos to leadership with Q&A, shown on screen as they run
  • Leadership response: recognition, strategic commentary and what comes next

Phase 5 · One month on

Impact evaluation

  • A one-month survey on tool adoption, time saved and workflows still in use
  • Results compared with the baseline set before the workshop
  • Findings go into the monthly report to leadership

Why we start with the workflow

When AI lets a team draft ten times more proposals and one manager still reviews them, the work queues at review. AI Transformation is built around this: teams rebuild a workflow, show it on Showcase Day, and we measure adoption one month later.

See the research behind this on Strategic AI Leadership.

Measurement and results

How we measure, and what we have seen

Results from our surveys across six client organisations in Malaysia and Singapore, May to October 2026, and from recent client programmes.

87% Plan to use AI at least once a week after training
57% Use AI daily one month after foundation-level programmes
55% Of a public agency’s managers had AI in their department’s workflows two months after training

What the data gives you

Individual baselines

Each participant's shift is measured against their own baseline, so you see who moved most and who needs support during the build period.

What your organisation receives

Post-cohort report within 14 working days

  • Attendance
  • Completion
  • Pre/post assessment results
  • Workflows built by segment
  • Showcase outcomes
  • Recommended next steps

In their own words

“We can digitalise the daily work forms, so we get a summary and results live and on time.”

Nurul Huda, assistant manager, material planning and production control · Nulatex

Read the transcript

Okey, nama saya Nurul Huda. Saya bekerja kat Nulatex almost dah three years. My position here, assistant manager for material planning and production control. Basically memang banyak benda yang saya boleh improve, especially pada form daily work untuk operator dan supervisor leader guna sekarang ni. So kita boleh implement digitalization, buat form, so kita boleh buat summary dan dapat result live dan on time.

In English: My name is Nurul Huda. I have worked at Nulatex for almost three years. My position here is assistant manager for material planning and production control. There is a lot I can improve, especially the daily work forms our operators, supervisors and leaders use now. We can digitalise them as forms, so we can make a summary and get results live and on time.

Filmed at a Mereka AI Lab training. Nurul Huda spoke in Malay; the quote is translated, and the captions and transcript give her own words.

Delivery model

How we run it

Your side

  • What your staff build is yours

    The workflows, prompts and assistants your staff build in training belong to your company.

  • Your tools, your data

    We build exercises around the AI tools your organisation has approved, working within your data governance and IT policies. For regulated industries, builds use approved, non-customer data in a test environment, and nothing goes live without your IT and compliance sign-off.

Together

  • KPIs agreed with your leadership, reported monthly

    At the start we agree the programme KPIs with your leadership team. Each month we report against them and compare cohorts and departments.

Our side

  • One point of contact

    A programme manager handles scheduling, trainer assignment, coordination, quality and reporting.

  • The same core team

    The same trainers run every cohort, so lessons from one carry into the next.

  • 1:10 facilitation ratio

    One facilitator for every ten participants on the workshop day, so nobody waits for help. Standard in-house sessions take up to 25 per trainer.

  • Experienced trainers

    Trainers who teach working teams, matched to your tools. Meet the trainers.

Your language, your locations: English, Malay or Mandarin, anywhere in Malaysia and overseas on request.

Get started

Book a free discovery call

  1. Step 1

    We learn your goals

    In 30 minutes: your team, your tools and what you want AI to change.

  2. Step 2

    We recommend and quote

    The right programme and format, in a tailored proposal.

  3. Step 3

    We handle HRD Corp

    We prepare the HRD Corp documents and claim from your levy, so there is no deposit. Paying another way? We set it up with you.

Prefer to message? Email ailab@mereka.io or WhatsApp +60 11-3011 6472

HRD Corp claimable