AI and the Start-up Landscape

5-Day Professional Development and Capacity-Building Programme

Course theme: Leveraging Artificial Intelligence to Identify Opportunities, Solve Customer Problems and Build Competitive Start-ups.

Duration: 5 days

Delivery mode: Face-to-face, practical and facilitator-led training.

1. Course Introduction

Artificial Intelligence (AI) is transforming the start-up landscape by changing how entrepreneurs identify market opportunities, understand customer needs, develop products and build competitive businesses. Generative AI, automation and predictive analytics enable start-ups to innovate faster, improve productivity and make more informed business decisions.

This five-day course by Soaring Skills Training Institute Ltd equips participants with practical knowledge and skills to understand AI-driven business transformation, identify opportunities within their sectors, discover customer problems worth solving and generate innovative business ideas.

The programme combines AI applications, market research, customer discovery and structured ideation to help participants translate business opportunities into viable, customer-focused and scalable ventures. It is particularly relevant to Kenya's and Africa's evolving entrepreneurial ecosystem, including fintech, agritech, healthtech, climate innovation, e-commerce and digital services.

2. Course Objectives

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

1. Explain how AI, generative AI, automation and predictive analytics are transforming businesses and entrepreneurship.
2. Identify emerging trends, market gaps and business opportunities within their respective sectors.
3. Apply customer discovery and problem-analysis techniques to identify unmet needs and commercially relevant problems.
4. Use AI-assisted brainstorming and design-thinking techniques to generate innovative business ideas.
5. Evaluate business concepts based on market demand, feasibility, scalability, competitive advantage and revenue potential.
6. Apply AI tools to market research, customer segmentation, value proposition development and business model design.
7. Develop an initial business concept and practical roadmap for testing, launching or improving an AI-enabled venture.
8. Recognise the ethical, operational, privacy and cybersecurity considerations associated with using AI in business.

3. Organisation and Individual Benefits

Benefits to organisations

• Innovation and competitiveness: Identify emerging opportunities and develop differentiated products and services.
• Operational efficiency: Explore AI applications that automate repetitive tasks and optimise resources.
• Customer-centric growth: Improve understanding of customer needs and develop relevant solutions.
• Market intelligence: Use AI-assisted research to analyse competitors, trends and market gaps.
• New revenue streams: Identify opportunities for digital products, AI-enabled services and innovative business models.
• Better decision-making: Introduce data-driven approaches to business planning and opportunity assessment.
• Responsible AI adoption: Improve awareness of AI governance, privacy, security and operational risks.

Benefits to individual participants

• Develop practical AI literacy and entrepreneurial thinking.
• Strengthen creativity, innovation and problem-solving skills.
• Learn to identify viable business opportunities within their industries.
• Improve customer research and business concept development.
• Gain experience using AI tools to support research, ideation and planning.
• Build confidence in evaluating and presenting business ideas.
• Develop an actionable plan for starting, growing or transforming a business.

4. Target Participants

This course is suitable for:

• Aspiring entrepreneurs and start-up founders.
• Micro, small and medium-sized enterprise (MSME) owners.
• Business development and innovation professionals.
• Corporate entrepreneurship and strategy teams.
• ICT professionals and digital transformation specialists.
• Product managers and service designers.
• University graduates and young entrepreneurs.
• Business consultants and management professionals.
• Innovation hubs, incubators and accelerators.
• Investors and enterprise development practitioners.
• Public-sector officers supporting entrepreneurship, innovation and MSME development.
• Professionals seeking to commercialise new ideas or transform existing businesses.

5. Course Outline

The five-day programme is structured around practical learning, sector-specific opportunity identification and the development of viable business concepts.

Day 1: How AI Is Changing Business

Key sessions

• Introduction to AI and the evolving start-up landscape.
• Generative AI, machine learning, predictive analytics and automation.
• How AI is transforming business models, products, services and customer experiences.
• AI applications in productivity, marketing, operations and decision-making.
• Opportunities and challenges of AI adoption among start-ups and MSMEs.
• Overview of emerging AI-enabled business models.

Practical activity: Analyse how AI could transform an existing business or industry.

Day 2: Spotting Opportunities in Your Sector

Key sessions

• Sector and industry trend analysis.
• Identifying market gaps and emerging customer needs.
• AI-assisted market research and competitor analysis.
• Mapping opportunities across fintech, agritech, healthtech, climate innovation, e-commerce and digital services.
• Evaluating market size, demand, feasibility and growth potential.
• Identifying opportunities for AI-enabled products and services.

Practical activity: Use AI-assisted research to identify and shortlist three promising business opportunities in a selected sector.

Day 3: Customer Problems Worth Solving

Key sessions

• Understanding customer pain points and unmet needs.
• Customer discovery, interviews and observation.
• Customer segmentation and development of customer personas.
• Distinguishing genuine problems from assumptions.
• Testing demand and assessing willingness to pay.
• Developing value propositions and customer-focused solutions.
• Using AI to organise customer insights and analyse feedback responsibly.

Practical activity: Define a priority customer problem, identify the target customer and develop a proposed value proposition.

Day 4: Ideation Workshop and Business Model Development

Key sessions

• Design thinking and structured idea generation.
• AI-powered brainstorming and creative problem-solving.
• Converting customer problems into innovative solutions.
• Screening and prioritising business ideas.
• Developing a Minimum Viable Product (MVP) concept.
• Business Model Canvas and revenue model design.
• Evaluating feasibility, scalability, differentiation and commercial potential.

Practical activity: Develop an AI-enabled business concept, value proposition and preliminary Business Model Canvas.

Day 5: Validating Ideas and Preparing for Implementation

Key sessions

• Testing business assumptions and validating proposed solutions.
• Developing customer feedback and market-testing plans.
• Introduction to start-up financial planning, costs, pricing and revenue streams.
• Using AI for business planning, marketing and operational productivity.
• Responsible AI use, data protection, cybersecurity and intellectual property.
• Developing a start-up action plan and identifying implementation milestones.
• Group presentations, peer review and facilitator feedback.

Practical activity: Present a business concept with a target customer, identified problem, proposed solution, revenue model and 90-day validation roadmap.

6. Training Methodology

The course will use an interactive, practical and participant-centred approach to ensure immediate workplace and entrepreneurial application.

Recommended daily schedule: 8:30 a.m.–4:30 p.m., with appropriate breaks and lunch.

Participants may use suitable AI tools such as ChatGPT, Gemini, Canva and spreadsheet or analytics applications, subject to availability and applicable licensing requirements.

7. Assessment and Certification

Assessment methods

Participants will be assessed through:

• Active participation in discussions and practical exercises.
• Completion of sector opportunity identification tasks.
• Quality of customer problem analysis and proposed solutions.
• Development of an initial business concept and business model.
• Final group or individual presentation.
• Submission of a practical implementation action plan.

Certification

Participants who meet the institute's applicable attendance and assessment requirements may receive a certificate of completion from Soaring Skills Training Institute Ltd, subject to the institute's certification arrangements.

8. Measuring the Impact of the Programme

The programme's effectiveness will be evaluated through baseline assessment, end-of-course evaluation and follow-up after approximately 30–90 days.

Baseline and follow-up results should be compared to determine whether participants have translated learning into practical action. Business launches, revenue growth and investment are longer-term outcomes and should not be treated as guaranteed results of a five-day course.

9. Empirical and Strategic Foundation

The course draws on established entrepreneurship, innovation and technology-adoption practices. Its approach combines evidence-informed frameworks with practical experimentation.

Key frameworks and principles include:

• Lean Start-up methodology: Testing assumptions, learning from feedback and refining business concepts before committing significant resources.
• Business Model Canvas: Examining customer segments, value propositions, channels, revenue streams, key resources and operating costs.
• Design thinking: Understanding users, defining problems and developing solutions through iterative testing.
• Customer discovery and validation: Establishing whether a genuine problem exists and whether customers value the proposed solution.
• Data-driven decision-making: Applying market intelligence and predictive analytics to support business planning, while recognising uncertainty and data limitations.
• Responsible AI principles: Considering privacy, fairness, transparency, security, human oversight and accountability when adopting AI.

The programme also recognises the growing relevance of AI to African entrepreneurship, particularly where businesses face resource constraints, underserved markets, infrastructure challenges and opportunities to deliver digital services at scale.

Empirical evidence should be incorporated through relevant sector case studies, participant market research and verified reports on AI adoption, start-up performance and digital entrepreneurship. The course should distinguish documented findings from illustrative examples and avoid assuming that AI adoption automatically results in business growth.

The central strategic principle is that successful AI-enabled entrepreneurship begins with a real customer problem, uses technology to develop a better solution, and validates commercial demand before scaling.