Workshop Overview

These labs move beyond demonstration into co-creation. Participants bring their own workflow scenarios — from approval chains to analytics reporting — and build automation prototypes using Generative AI, connectors, and logic layers. The goal: functional transformation that’s measurable, governed, and human-centred.

Each lab aligns with your industry and system environment — whether you operate in finance, logistics, retail, or public service — ensuring outcomes that are both practical and compliant.

Functional Tracks

Finance & Administration

Create claim verification, procurement approvals, and automated reporting workflows. Use Power Automate or Google Workspace with OpenAI and Zapier to detect anomalies, validate inputs, and accelerate month-end close.

Human Resources

Build AI-driven onboarding assistants, sentiment analysis dashboards, and learning recommendation systems. Learn how to automate compliance checks and feedback analysis with PDPA-safe AI models.

Supply Chain & Logistics

Automate shipment tracking, supplier updates, and stock monitoring. Integrate Make or Zapier with ERP and Google Sheets to streamline visibility, alerts, and coordination.

Education & Training

Design AI assistants that generate course materials, track learner progress, and automate feedback. Use OpenAI Agent Builder and Google Workspace to create personalised and scalable learning support.

Customer & Service Operations

Develop conversational AI interfaces that manage inquiries, escalate tickets, and update CRMs automatically. Connect data across email, chat, and form systems via MCP-enabled integrations.

Core Tools & Tech Stack

OpenAI Agent Builder

Build custom AI co-workers tailored to each functional role using structured reasoning and context integration.

Zapier & Make

Link and automate multi-system workflows with human-in-the-loop reviews and approval checkpoints.

Microsoft Power Automate

Leverage AI connectors across Teams, Excel, and Outlook for structured, governed enterprise workflows.

Google Workspace & Apps Script

Build low-code automations that bridge Sheets, Gmail, Drive, and GenAI for everyday work improvements.

Model Context Protocol (MCP)

Connect internal data and enterprise tools to AI agents securely for controlled reasoning and governance.

Lab Flow

  1. Map: Identify a process or repetitive workflow with measurable output.
  2. Design: Plan AI roles, data flow, and hand-off logic with tool selection.
  3. Build: Develop working prototypes using your actual tools and datasets.
  4. Validate: Test results, speed, and data accuracy; iterate improvements.
  5. Govern: Apply PDPA-aligned data handling, access control, and transparency policies.

Learning Outcomes

  • Design function-specific AI and automation workflows using real business tools.
  • Quantify impact through measurable KPIs — speed, accuracy, cost, satisfaction.
  • Collaborate across roles to build responsible, explainable AI solutions.
  • Translate functional knowledge into scalable digital workflows.
  • Build in-house capability to sustain and evolve AI-enabled practices.

Plan a Functional Lab for Your Team

Whether you’re in finance, operations, healthcare, retail, education, or logistics, LIVO’s Functional Labs adapt to your team’s context, systems, and transformation goals. Each session is customised to your workflow maturity and compliance needs.