Building materials

How a building materials company started its company-wide AI training with the HR team

Two cohorts of 16 HR staff, from executives to senior managers.

Published 2 November 2026 · 3 min read

32HR staff in two cohorts
93%confident writing prompts at the end of training, up from 26% (n = 28)
68%use AI at least once a week one month later (n = 19)

The company plans to train executives across its other departments on AI. It chose to start with one: HR.

Its brief set clear goals from the start:

Improved productivity through task automation, faster and better decision-making, cost savings, and enhanced communication.”HR team, the client

Key takeaways

  • Start a company-wide rollout with one department and measure it.
  • Run a needs assessment before you design the sessions.
  • Measure one month after training, when habits show.
  • Give leadership a short report they can take to the board.

The challenge

For the HR and admin team, the work that mattered most was SOP standardisation, training records and employee communications.

  • A company-wide rollout that had to start small and prove itself.
  • Microsoft 365 with Copilot as the tool set.
  • Training in English and Malay, claimed through HRD Corp.

The solution

  1. A needs assessment first

    We sent a needs survey to all 32 HR staff before designing the training, so the sessions matched their tasks.

  2. AI Foundation in two cohorts

    On 11 November and 9 December 2025.

  3. Measured before, after and one month later

    An eight-page training report for HR.

A board member asked for the one-month results so HR could share them with the board.

The results

Exhibit 1Start and end of trainingShare of participants; start of training n = 27, end of training n = 28
MeasureStartEnd
Confident writing prompts26%93%
Aware of how to use AI responsibly52%96%
Familiar with AI59%96%
Exhibit 2One month laterShare of participants, one-month impact survey across both cohorts, n = 19
MeasureOne month later
Say AI is part of their daily work5% before training (needs analysis, n = 22)47%
Use AI every day26%
Use AI at least once a week68%
Save 2 or more hours a week, self-reported47%

Source: Mereka AI Lab training report for the client. Needs analysis before training (n = 22); surveys at the start and end of each session (n = 27 and n = 28); one-month impact survey across both cohorts (n = 19). Cohorts trained 11 November and 9 December 2025. All figures are self-reported.

Sources and methods

All figures come from our training report for the client. The start-of-session and end-of-session groups overlap but are not identical. “Part of daily work” and “use AI every day” are separate questions, so their figures differ. Time saved is self-reported.

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