Introduction of AI into Business to Optimise Processes​

Duration: 1 day  |  9am-5pm   |  Physical Mode
HRD- Claimable Course

Unlock Insights, Drive the Future​

In Introduction of AI into Business to Optimise Processes, participants gain a practical understanding of how AI and no-code automation can be applied to real business operations. The course begins with identifying high-cost manual processes and evaluating where AI-driven automation delivers measurable business value. Participants are then introduced to no-code workflow design, learning how to connect common business tools and data sources without writing code.

The programme progresses into the use of intelligent AI agents within workflows, enabling tasks such as decision support, data extraction, and content summarisation. Through guided, hands-on exercises, participants design and build an end-to-end AI-assisted workflow with appropriate human-in-the-loop controls.

By the end of the course, participants will be equipped to assess automation opportunities, design practical AI-enabled workflows, and apply these approaches responsibly to improve operational efficiency and business outcomes.

SurgeCollege

Syllabus Overview

Session 1 – Automation Strategy & Cost Reduction
Identifying high-cost manual processes and where AI-driven automation delivers measurable value.

Session 2 – No-Code Workflow Foundations (n8n)
Building node-based workflows without coding and connecting common business tools.

Session 3 – Intelligent AI Agents in Workflows
Applying LLM-powered agents for decision-making, data extraction, and summarisation.

Session 4 – Hands-On: End-to-End Automation
Designing a practical multi-step AI workflow with human-in-the-loop controls.

SurgeCollege (27)

Course Outcomes

  • Identify suitable business processes for AI-driven automation and cost reduction.
  • Understand and design no-code workflows using a node-based automation platform.
  • Apply LLM-powered agents for decision-making, data extraction, and summarisation.
  • Connect common business tools and data sources within automated workflows.
  • Build a simple end-to-end AI-assisted workflow with human-in-the-loop controls.
  • Evaluate automation use cases for business value, feasibility, and risk.

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