Bringing AI into real work

Bring AI into your company’s work,and take team execution further.

A programme that builds your company’s own AI team: mapping important work, introducing agents and automation, connecting the agreed systems and keeping human approval where it matters.

Build Your AI Team. Not Just Learn AI Tools.

4-day physical workshop · Mandarin & English

The company is experimenting with AI, but it is not connected to priority workflows, clear ownership or measurable operating needs. vimigo for AI Team brings AI into execution and workflows around the company’s real work — not just tool names or isolated tricks.

  • Who it is for

    • AI, digital and operations owners
    • Process owners with repeatable high-value work
    • Companies ready to build an internal AI capability
  • Problem it solves

    • AI tools are scattered and disconnected from real workflows
    • Teams experiment without ownership, review points or a shared build plan
    • Manual work remains even where AI could assist responsibly
  • What you leave with

    • An internal AI team with clear roles
    • Prioritised workflows and a scoped build plan
    • Human review points and clear ownership

How it works

From the problem to the work getting done.

First we understand what you need, then confirm the right programme and delivery scope.

  • Form the internal AI team and map workflows, data, hand-offs and decisions
  • Co-design what to assist, automate, connect or build
  • Pilot, deploy and improve the agreed scope with people confirming key decisions
vimigo for AI Team · Bringing AI into real work

AI Team Implementation Programme

RM 7,880/ pax

Venue RM 580/pax, paid before the date

*Prices listed do not include 8% SST

System connection

How this product connects to the rest of vimigo

Receives from

The company direction, execution blueprint and selected workflow priorities.

Connects to

vimigo’s forward-deployed team works with yours from scoping to deployment; CVO coordinates across departments and drives execution; vimigo Software can show the agreed operating signals.

Feedback created

People review AI output, workflow usage and business measures to decide what should be improved or codified next.

How vimigo delivers

Forward-Deployed Transformation Loop

vimigo works alongside business owners, operators and the people inside the company who will run it, across the journey.

See how the full journey works

FAQ.

Got questions?

Who should attend this programme?

It is built for the people responsible for real implementation:

  • Business owners, founders & decision-makers
  • Department heads across Sales, Marketing, CS, HR, Finance & Admin
  • Teams driving process, systems & digital transformation
  • Managers who want higher productivity and execution speed

The question is not whether you can use AI — it is whether your company can turn AI into a team capability.

How long is it, and what is the format?

4 days. A physical class run as hands-on workshops, in Mandarin & English.

Tool installation and setup are arranged 1–4 days before the programme, physically or online, so class time goes to building rather than downloading.

The programme follows the 4-step framework: Learn, Build, Apply, Implement.

What will we take home?

Eight assets, all built around your own business:

  • AI Team Blueprint — a company-wide AI team overview
  • AI Department Structure — roles and priorities per functional team
  • AI Workflow — existing processes upgraded into AI-assisted ones
  • AI SOP Library — procedures your team can copy and hand over
  • AI Knowledge Base — structured company knowledge, FAQs and key assets
  • AI Agent Framework — deployable single- or multi-agent structures
  • Automation Roadmap — a phased plan for automation and integration
  • Implementation Plan — clear next actions, owners and timelines
Do we have to build every AI team at once?

No. The programme covers seven functional AI teams — Sales, Marketing, Customer Service, HR, Finance, Admin & Ops, and Management.

You don't need every department at once — start with the highest-value, easiest-to-land AI teams, then expand.

What will we be able to do afterwards?
  • Identify repetitive & manual tasks AI can take over
  • Design a dedicated AI team & department structure
  • Build AI workflows, SOPs & a company knowledge base
  • Build & deploy AI agents in daily operations
  • Measure AI effectiveness with KPI dashboards
  • Complete a ready-to-execute AI implementation roadmap

Find the right starting point, then agree the scope.

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