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NITA AccreditedIntermediatePhysical + Virtual5 daysTOAA748

Training on AI Automation for Business & Operations

Learn AI automation, RPA, workflow design, and chatbot integration to streamline operations, reduce costs, and drive digital transformation.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

5 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Intermediate

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

AI Automation is transforming how organizations streamline workflows, reduce manual processes, improve accuracy, and enhance productivity. This course equips professionals with practical knowledge of artificial intelligence tools, robotic process automation (RPA), workflow automation platforms, and AI-driven decision systems.

Participants will learn how to identify automation opportunities, integrate AI tools into business processes, design automated workflows, and measure automation impact across finance, HR, operations, customer service, and administration.

Duration

5 Days

Who Should Attend

  • Operations Managers

  • IT & Digital Transformation Teams

  • HR & Finance Professionals

  • Business Analysts

  • Process Improvement Officers

  • SME Owners & Entrepreneurs

  • Public Sector Administrators

Learning outcomes

What you'll walk away with

By the end of the course, participants will be able to:

  • Understand AI and automation fundamentals

  • Identify automation opportunities within business processes

  • Design AI-powered workflow automation systems

  • Apply RPA and no-code automation tools

  • Integrate AI into customer service and internal support

  • Measure ROI and performance of automation initiatives

Course modules

What we cover, module by module

Module 1: Foundations of AI & Automation

  • Introduction to AI and automation concepts
  • Difference between AI, RPA, and workflow automation
  • Business process automation lifecycle
  • Automation maturity models
  • Benefits and risks of AI automation
  • Case Study:Operational delays caused by manual approval workflows.
  • Practical:Mapping an existing manual process and identifying automation opportunities.

Module 2: Process Mapping & Automation Design

  • Business process analysis techniques
  • Identifying repetitive and rule-based tasks
  • Automation feasibility assessment
  • Designing automation workflows
  • Change management in automation projects
  • Case Study:Finance department reducing invoice processing time using automation.
  • Practical:Designing an automated workflow for HR or finance operations.

Module 3: Robotic Process Automation (RPA) & No-Code Tools

  • Introduction to RPA tools
  • Automating repetitive digital tasks
  • Data extraction and validation automation
  • Integrating automation with existing systems
  • Error handling and monitoring
  • Case Study:Automating payroll processing to reduce human error.
  • Practical:Creating a basic automation workflow using a no-code platform.

Module 4: AI in Customer Service & Internal Operations

  • AI chatbots and virtual assistants
  • Intelligent document processing
  • AI-based email and ticket classification
  • Predictive analytics for operations
  • Workflow integration with AI tools
  • Case Study:Customer service response time reduced through AI chatbot deployment.
  • Practical:Designing an AI chatbot support workflow.

Module 5: Governance, Risk & Performance Measurement

  • Automation governance frameworks
  • Data privacy and compliance considerations
  • Risk management in automation
  • Performance metrics and KPIs
  • ROI evaluation for automation projects
  • Case Study:Automation project failure due to lack of governance controls.
  • Practical:Developing an automation implementation and governance roadmap.
Impact

Where the change lands

Personal Impact

  • Enhanced digital transformation skills

  • Improved process optimization capability

  • Increased efficiency and productivity

  • Stronger career competitiveness in AI-driven environments

Organizational Impact

  • Reduced operational costs

  • Faster processing times

  • Improved service delivery

  • Reduced human errors

  • Increased scalability and performance

Dates and locations

Upcoming intakes

Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.

Full calendar
FAQs

Common questions.

Still not sure? Send us a note and a facilitator will get back to you within a business day.

It is designed for both technical and non-technical professionals.

Course finder

Find the right course for you

Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.

For corporate teams

Training 10+ professionals?

We deliver Training on AI Automation for Business & Operations in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.