UNIT 01
Understand
Know what the model can and cannot do.
- Track focus
- AI limits in operational work
- Working asset
- Business use-case register
- Risk control
- Human accountability
A one-day implementation workshop covering management, proposals, SOPs, marketing, sales preparation, reporting, administration and internal knowledge.
One practical AI course; configured to the work you actually do.
See how a vague operational note becomes decisions, owners, missing inputs, an SOP skeleton and accountable next actions.
Illustrative workflow using synthetic business information. Owners verify decisions, inputs and commercial claims before use.
Run the example to expose decisions, missing information and the human verification point.
A complete working day for busy participants. The shared method remains consistent; the examples, lab, outputs and risk controls adapt to business.
UNIT 01
Know what the model can and cannot do.
A repeatable method for moving from raw practice to an owned procedure.
Structured inputs, decision rules and verification checks.
Reusable instructions aligned to the business’s voice and constraints.
Prioritised candidates ranked by value, risk and effort.
Owners, pilots, measures and explicit stopping rules.
No specialist installation or dedicated AI infrastructure is required for the standard one-day course.
8 to 20 participants for practical in-house delivery. Larger groups require an altered facilitation and commercial model.
A microphone is recommended above approximately 20 participants.
Higher bandwidth may be needed for larger groups; organisational controls and concurrent use affect performance.
Phones and tablets can supplement a laptop, but are not equivalent for every lab.
No specialist installation or dedicated AI infrastructure is required for the standard one-day course. Private or regulated deployments require separate scoping.
No confidential client, customer, employee or production data should be entered into public AI tools. Exercises use synthetic, anonymised or host-approved data; host policy prevails. The trainer requests relevant AI, privacy and security policies during preparation. Private or regulated deployments require separate scoping.
Missing one or more items does not end the conversation. It changes the delivery plan.
Do participants have laptops?
Is stable internet available?
Is there a projector or large display?
Can approved AI services be accessed?
Can the host provide participant roles and desired workflows in advance?
Model suitable administrative work, expected reduction and implementation overhead. Outputs are capacity estimates, not guaranteed savings.
After implementation overhead
Capacity estimate, not guaranteed savings
Against a RM 12,000 planning default
Ongoing implementation and review
At half the expected reduction, annual capacity becomes 20 h after overhead.
Uses 46 working weeks and deducts ongoing implementation overhead. Values are user-controlled estimates.
Public material uses transparent planning defaults until commercial approval is completed.
A practical operating foundation for one team.
Configured to the team’s recurring processes.
For deeper process mapping and implementation support.
Planning defaults require commercial review before final quotation. Eligible programmes may be claimable subject to the employer's levy balance, approved scheme, documentation and HRD Corp requirements. Claimability copy remains subject to legal and commercial review.
Advocate and solicitor at RLB Advocates & Solicitors; tech entrepreneur at Axon Avenue PLT. The course is built around practical workflows, transparent assumptions and accountable human review.
Describe the business, team and operational bottleneck. Axon Avenue will scope the most useful version of the day.
Business course selected