Experience the future of software development with my AI-Enabled Software Factory workshops.
Whether you’re looking for a rapid executive demonstration or an in-depth, hands-on experience, I offer flexible programs to suit your needs.
Workshop Options
1-Day Executive Accelerator 🚀
Perfect for:
- Senior executives, CIOs, CTOs, Heads of Innovation, and Digital Leaders seeking a fast, impactful overview.
Key Highlights:
- Live build of a working proof-of-concept system across one day
- AI-assisted generation of functional and technical specifications
- Rapid scaffolding of applications using the likes of GitHub Copliot and Claude Code
- Real-time UX design mockups (supported by Figma/Canva)
- Demonstration of AI-automated unit and UI testing
- Strategic reflections on risks, opportunities, and next steps
Agenda Overview:
The workshop comprises of 2x 1 hour sessions, and 2x 15 minute sessions that are intended to fit in around a standard working day.
- 9:00am – 10:00am – Executive Briefing and AI Spec Generation
- 1:00pm – 1:15pm – Check-in & initial demonstration
- 4:00pm-4.15pm – Live demonstration of the test app
- 4:15pm – 5:00pm – Facilitated discussion and reflection
5-Day Deep Dive Workshop 🚀
Perfect for:
- Organisations ready to explore, test, and plan real-world AI factory implementation strategies.
Key Highlights:
- Build and refine a live proof-of-concept application across multiple days
- Conduct executive-level and technical deep-dive sessions
- Facilitate hands-on development workshops with client teams
- Explore compliance, governance, and implementation challenges
- Create a roadmap for scalable AI-enabled delivery
Example Schedule:
- Day 1: Live Build and Prototype Presentation
- Days 2-4: Morning Workshops + Afternoon Exploration Sessions
- Day 5: Executive Reflection and Strategic Planning Session
Core Technologies Featured:
Here is an example overview of some of the main technologies that will be featured:
- ChatGPT / Claude: Functional & technical specification generation
- GitHub Copilot: AI-accelerated code generation
- Figma / Canva: UX/UI ideation
- Testim / Jest: Automated unit and UI testing
- AWS / Azure / Digital Ocean: Cloud deployment and scalability
- Otter.ai: Live transcription and documentation
Workshop Outcomes
- A fully functioning prototype created in real-time
- Real-world experience of AI-driven software creation
- Strategic insights into opportunities, risks, and next steps
- A clear path for introducing AI into your software development lifecycle
Flexible Delivery Options
- On-site at your offices
- Hybrid or fully remote delivery available
- Custom timing and structure available to suit your team’s needs
Key Learning Outcomes
1. Understand the Full AI-Enhanced Development Lifecycle
- Grasp how AI can assist at every stage: requirements gathering, design, coding, testing, and deployment.
- Appreciate the practical application of generative AI tools in real-world delivery environments.
2. Experience Rapid Software Delivery Firsthand
- Witness a working system being built live, from concept to deployment, within hours or days.
- See how AI reduces the time and effort required for high-quality software development.
3. Critically Evaluate the Opportunities and Risks of AI Development
- Identify the advantages AI brings in speed, scalability, and flexibility.
- Discuss the risks, ethical considerations, compliance challenges, and operational impacts of AI in production environments.
4. Gain Insight into Modern AI Tools and Techniques
- Explore leading AI technologies (e.g., ChatGPT, Claude, GitHub Copilot and more).
- Understand how these tools integrate into existing software development pipelines.
5. Develop Strategic Thinking Around AI Factories
- Understand the concept of a “software factory” powered by AI augmentation.
- Begin shaping strategies for piloting or scaling AI development capabilities inside your organization.
6. Reflect on Cultural and Organisational Impacts
- Discuss how AI affects team structures, skillsets, and future workforce planning.
- Explore next steps for integrating AI approaches into traditional development teams and governance models.
Contact me to discuss your learning objectives.