About This Course
Artificial intelligence is no longer a future prospect — it is actively reshaping how organisations operate, compete, and deliver value today. From intelligent document processing and predictive analytics to conversational AI and robotic process automation, businesses across every sector are deploying AI-powered tools to streamline operations, reduce costs, and free human talent for higher-value work. Yet many organisations struggle to move beyond pilot projects because their teams lack the structured knowledge to evaluate, implement, and scale automation confidently.
This five-day TrainingComplex programme bridges that gap. Designed for business and technology professionals who need practical, hands-on capability rather than theoretical concepts alone, the course takes participants on a structured journey from understanding the AI automation landscape to building and governing real-world automated workflows. Participants learn how to map and prioritise business processes for automation, evaluate leading platforms such as Microsoft Power Automate, UiPath, and generative AI toolchains, and apply responsible AI principles to ensure deployments are compliant, transparent, and sustainable.
The programme balances conceptual frameworks with applied exercises, using real industry scenarios drawn from finance, HR, supply chain, customer service, and operations. Participants leave with a personal automation roadmap, a toolkit of reusable templates and assessment frameworks, and the confidence to champion AI-powered transformation within their teams and organisations.
Who Should Attend
- Business analysts and process improvement specialists seeking to modernise workflows
- IT managers and digital transformation leads responsible for technology adoption
- Operations managers looking to reduce manual effort and improve throughput
- Finance, HR, procurement, and customer service managers exploring automation opportunities
- Project managers overseeing digital or automation initiatives
- Entrepreneurs and SME owners building leaner, technology-driven business models
- Change management professionals supporting AI adoption programmes
Learning Objectives
- Explain the AI automation landscape, including RPA, intelligent automation, and generative AI, and how each applies to business processes
- Conduct a structured process discovery and prioritisation exercise to identify high-value automation candidates
- Design end-to-end automated workflows using leading low-code and AI-powered platforms
- Integrate machine learning models and AI services into business process automation pipelines
- Apply natural language processing and conversational AI to enhance customer-facing and internal processes
- Evaluate and select appropriate automation tools based on organisational needs, maturity, and budget
- Build a governance framework for responsible, compliant, and auditable AI automation deployments
- Measure the ROI and performance of automation initiatives using relevant KPIs and metrics
- Manage change, stakeholder communication, and upskilling to support successful automation adoption
- Develop a practical automation roadmap aligned to their organisation's strategic priorities
Course Modules
Module 1: The AI Automation Landscape
- Evolution from traditional automation to intelligent and AI-powered automation
- Key technologies: RPA, intelligent process automation, and generative AI
- AI automation maturity models and where organisations typically sit
- Real-world applications across industries: finance, HR, logistics, and customer service
- Common misconceptions and risks in AI automation adoption
- The strategic case for automation: efficiency, quality, and competitive advantage
Module 2: Process Discovery and Automation Opportunity Assessment
- Principles of process mapping: swim lanes, value streams, and bottleneck identification
- Criteria for evaluating automation suitability: volume, rule-based logic, and error rates
- Prioritisation frameworks: effort-versus-impact matrices and quick-win identification
- Stakeholder interviews and process observation techniques
- Documenting current-state processes to create automation requirements
- Building an opportunity register and scoring model for your organisation
Module 3: Robotic Process Automation Fundamentals
- How RPA bots work: attended, unattended, and hybrid automation modes
- Leading RPA platforms: UiPath, Automation Anywhere, and Blue Prism compared
- Bot design principles: triggers, rules, exception handling, and logging
- Practical lab: building a simple rule-based bot to automate a data entry workflow
- Scaling RPA from pilot to enterprise deployment
- Common RPA failure points and how to avoid them
Module 4: Low-Code and AI-Powered Workflow Automation
- Introduction to Microsoft Power Automate and the Power Platform ecosystem
- Designing automated flows: cloud flows, desktop flows, and scheduled automation
- Connecting business applications through APIs and pre-built connectors
- AI Builder capabilities: form processing, object detection, and sentiment analysis
- Practical lab: automating an invoice approval and notification workflow
- Governing low-code automation to prevent shadow IT and sprawl
Module 5: Machine Learning Integration in Business Processes
- Core machine learning concepts for business professionals: supervised, unsupervised, and reinforcement learning
- Pre-built AI services: Azure AI, Google Cloud AI, and AWS AI for business use cases
- Integrating ML predictions into process automation pipelines
- Practical application: using predictive models to trigger automated procurement or HR actions
- Data quality and preparation considerations for ML-driven automation
- Monitoring model drift and maintaining accuracy over time
Module 6: Natural Language Processing and Conversational AI
- How NLP enables AI to understand, interpret, and generate human language
- Applications in business: contract analysis, email triage, sentiment monitoring, and summarisation
- Building and deploying chatbots and virtual assistants for internal and customer-facing use
- Generative AI in business processes: drafting, classification, and knowledge retrieval
- Practical lab: configuring a conversational AI agent for a common HR or customer service query
- Ethical considerations in deploying NLP tools: bias, accuracy, and privacy
Module 7: Automating Core Business Functions
- Finance automation: invoice processing, reconciliation, expense management, and reporting
- HR automation: onboarding workflows, leave management, and payroll data handling
- Procurement automation: purchase order generation, supplier communication, and approval routing
- Customer service automation: ticket routing, response generation, and escalation logic
- Operations and logistics: shipment tracking, inventory alerts, and compliance reporting
- Cross-functional integration: connecting automated processes across departments
Module 8: AI Governance, Compliance, and Responsible Automation
- Responsible AI principles: fairness, transparency, accountability, and explainability
- Regulatory landscape: GDPR, data protection laws in Africa, and sector-specific compliance
- Audit trails, access controls, and documentation requirements for automated processes
- Risk assessment frameworks for AI automation: identifying and mitigating automation risks
- Human-in-the-loop design: when to keep humans involved in automated decisions
- Building an internal AI governance policy and oversight structure
Module 9: Measuring ROI and Performance of Automation Initiatives
- Defining KPIs for automation: time saved, error reduction, cost avoidance, and throughput
- Building a business case for automation investment: cost modelling and benefit quantification
- Baseline measurement and post-deployment performance tracking
- Dashboards and reporting tools for monitoring automation health
- Communicating automation value to senior leadership and boards
- Continuous improvement cycles: using performance data to optimise deployed automations
Module 10: Change Management and Automation Roadmap Development
- The human impact of automation: addressing fear, resistance, and role transformation
- Stakeholder mapping and communication strategies for automation programmes
- Upskilling and reskilling strategies to build organisational automation capability
- Phased implementation planning: pilot design, rollout sequencing, and scaling governance
- Building an automation centre of excellence (CoE) to sustain long-term momentum
- Developing a personalised 90-day automation roadmap aligned to organisational priorities
Requirements & Prerequisites
Participants should have a working understanding of general business operations and at least one functional area such as finance, HR, operations, or customer service. Basic familiarity with digital tools and software applications is expected. Prior experience with programming or AI is helpful but not required, as the course is designed to be accessible to business professionals with varying technical backgrounds.
Training Methodology
- Process discovery workshops where participants map and assess real workflows from their own organisations for automation potential
- Hands-on platform labs using Microsoft Power Automate and AI Builder to build live automated workflows during the session
- Case study analysis of AI automation deployments across finance, HR, supply chain, and customer service sectors in Africa and globally
- Tool comparison exercises in which participants evaluate RPA and AI platforms against a structured selection framework
- Group scenario challenges that simulate end-to-end automation design from requirements through to testing and governance
- ROI modelling exercises using real cost and efficiency data to build a business case for automation investment
- Stakeholder communication role plays to practise presenting automation proposals and managing change resistance
- Reflective roadmap sessions at the close of each day to consolidate learning and apply it to participants' own organisational contexts
Organisational Benefits
- Accelerated identification and delivery of automation opportunities that reduce operational costs and manual effort
- Improved process quality, consistency, and speed through AI-driven workflow optimisation
- A team of professionals equipped to evaluate, implement, and govern automation tools with minimal external dependency
- Stronger digital transformation outcomes through structured, strategy-aligned automation planning
- Reduced risk of failed automation projects through robust governance, testing, and change management practices
- Enhanced competitive positioning through the responsible adoption of cutting-edge AI capabilities
- A reusable automation assessment toolkit and roadmap that guides ongoing investment decisions
Where Is AI-Powered Automation for Business Processes Training Offered?
This course runs in-person across: Kisumu, Abuja, Arusha, Zanzibar, Nairobi, Pretoria, Nakuru, Addis Ababa, Dubai, Dar es Salaam, Lagos, Kampala, Cape Town, Riyadh, Naivasha, Johannesburg, Mombasa, Accra, Kigali, plus Live Virtual (online) cohorts. Browse live dates for your city below.
Upcoming Schedules
| Location | Format | Dates | Price |
|---|
| Live Virtual |
Online |
12 Oct 2026 – 16 Oct 2026 |
KES 80,000 |
| Live Virtual |
Online |
24 Oct 2026 – 15 Nov 2026 |
KES 80,000 |
| Kisumu, Kenya |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
KES 120,000 |
| Abuja, Nigeria |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,800 |
| Arusha, Tanzania |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,100 |
| Zanzibar, Tanzania |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,500 |
| Nairobi, Kenya |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
KES 115,000 |
| Pretoria, South Africa |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 3,300 |
| Nakuru, Kenya |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
KES 120,000 |
| Addis Ababa, Ethiopia |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,400 |
| Dubai, United Arab Emirates |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 4,100 |
| Dubai, United Arab Emirates |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
USD 4,100 |
| Zanzibar, Tanzania |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
USD 2,500 |
| Nakuru, Kenya |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
KES 120,000 |
| Nairobi, Kenya |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
KES 105,000 |
+227 more dates — view live schedule →
Frequently Asked Questions
Do I need a technical or programming background to attend this course?
No prior programming experience is required. The course is designed for business and operations professionals as well as technology managers, and all hands-on labs use low-code and no-code tools that are accessible without a coding background. A general comfort with using digital applications is sufficient.
What tools and platforms will participants work with during the course?
Participants will gain hands-on experience with Microsoft Power Automate and AI Builder as the primary platforms, alongside conceptual exposure to UiPath, Automation Anywhere, Azure AI services, and generative AI toolchains. All labs are conducted in guided environments, and no software licences are required in advance.
Will participants receive a certificate upon completion?
Yes. Participants who attend the full five-day programme and complete the practical exercises will receive a TrainingComplex Certificate of Completion in AI-Powered Automation for Business Processes, which can be shared digitally with employers and on professional profiles.
Is this course relevant to organisations outside the technology sector?
Absolutely. The course is specifically designed to serve professionals from finance, HR, procurement, customer service, operations, and logistics — sectors where manual, repetitive processes offer significant automation potential. Case studies and exercises are drawn from multiple industries to ensure broad relevance.
Can this training be delivered in-house for an entire team or department?
Yes. TrainingComplex offers customised in-house delivery of this programme for organisations wishing to train multiple team members together. The content can be tailored to your specific tools, processes, and industry context. Please contact TrainingComplex directly to discuss a bespoke arrangement.
