AI Experience Design
Master the art and science of designing AI-powered experiences that users love.
A hands-on training program designed for AI professionals who create, implement and optimise AI automation experiences. Learn proven methodologies, master AI system design and drive real business impact.
Why AI Experience Design Training?
Most AI implementations fail, not because the technology doesn’t work, but because the design is broken.
Too often, AI is treated as a purely technical challenge, resulting in systems that function, but fail to deliver great user experiences. Without great design, your AI program will never achieve the results you hope for.
Our AI Experience Design Training will help you to:
- Create AI solutions that customers love
- Design systems that create business value
- Take control of your AI destiny
- Ensure security and compliance
- Scale AI across your business
Build a Strong Theoretical Foundation: Gain a deep understanding of conversational AI principles, including design thinking, natural language processing (NLP), and dialogue management strategies.
Develop Implementation Skills: Learn best practices for implementing conversational AI, including how to plan, deploy, and scale AI solutions effectively.
Ensure Operational Excellence: Get equipped with knowledge required to manage and optimise conversational AI systems post-deployment,
Training Modules
AI Design Fundamentals (1 day)
For those starting with AI automation; understand the essentials. Learn to create user-friendly, AI automation experiences that enhance customer engagement.
Key Takeaways:
- Identifying AI opportunities: Evaluate AI use cases that drive productivity.
- Workflow automation: Best practices for designing streamlined business processes.
- VUX AI Design Principles and Standards: Proven frameworks for seamless user experiences.
- AI Governance & ethics: Learn AI compliance best practices.
AI Design Intermediate (1 day)
For those advancing AI system design. Create more sophisticated, personalised experiences.
Key Takeaways:
- Master personalisation: Leverage AI to create intelligent, adaptive interactions.
- Handling sensitive data: PII and data security for high-value use cases.
- Complex interactions: Designing context-aware, dynamic automation solutions for complex use cases.
- Customising AI models: Machine learning training and LLM manipulation for increased performance
- Testing & quality assurance: Usability testing and QA techniques for AI systems.
AI Design Advanced (1 day)
For teams scaling AI; expand across languages, regions, and business functions. Develop the design and technical skills needed to successfully scale AI into enterprise operations.
Key Takeaways:
- Working with data: Best practices for gathering, retrieving and sending data to and from AI systems.
- Multi-modal and omni-channel: Leveraging channel-specific UI affordances for enhanced experiences.
- Voice user interfaces: Best practices for voice-enabled AI solutions.
- Multi-language, multi-region solutions: how to scale across regions and languages
- Continuous improvement: Advanced AI Analytics Framework to define, measure and optimise AI performance.
- Boosting adoption: Best practices for increasing user adoption and engagement.
- AI Risk & Compliance: Ensure security, privacy, and regulatory alignment.
AI is not an IT project, it’s a business capability. Companies that build their own AI expertise will lead the future of customer experience, automation and business transformation.
Invest in your team today and build AI solutions that truly work: seamless, scalable, and human-centered.
Who is this training for?
Design Teams
UX and product teams aiming to build intuitive and effective AI-driven experiences.
Product Teams
Innovators integrating AI into their products for maximum business impact.
Customer-Facing AI Teams
Teams building chatbots, virtual assistants, and AI-powered customer service solutions.
Workflow & Operations Teams
Professionals optimising processes through AI-driven automation.
Technical Teams
Engineering teams responsible for deploying AI automation that want to improve the usability of AI systems.
Designed with proven expertise
Our training is based on decades of designing and deploying natural language-based AI automation solutions, and is aligned with the UK Government’s AI Skills for Business Competency Framework.
We ensure participants develop the right design, technical, ethical and strategic AI skills to drive business success.
Flexible Training Delivery
Design AI Solutions That Truly Work
AI success isn’t just about technology, it’s about great design, seamless user experiences and business impact. Gain the skills to design, deploy and optimise AI solutions that drive real results for your organisation.
Enquire today and take control of your AI future.
Frequently Asked Questions (FAQ)
How is this training different from other AI courses on the market?
Most AI courses focus purely on engineering and model development, but very few address experience design and usability – the key factors that determine whether an AI solution succeeds. This training is specifically designed to help teams create AI systems that are intuitive, user-friendly, and drive real business impact.
Do I need prior AI experience, or is this suitable for beginners?
Prior AI experience is useful but not required. The training is designed to accommodate both beginners and experienced professionals, providing a structured approach to designing and optimising AI experiences.
How technical is the training - will it involve coding, or is it more design-focused?
This course is not focused on coding. Instead, it emphasises AI experience design, usability, and business impact. It is ideal for UX professionals, product teams, and AI practitioners who want to apply AI effectively without needing to build solutions from scratch.
Is the training relevant for AI teams working on both chatbots and broader automation?
Yes! Whether you’re working on chatbots, virtual assistants, contact centre automation, or AI-driven workflow automation, this training will provide essential skills. As long as you’re working with natural language AI systems, this course will be highly relevant.
Can this training help if we’ve already deployed AI but are struggling with adoption?
Absolutely. Many AI teams have deployed solutions without undergoing formal AI experience design training. This course helps align teams on best practices, upskill all members, and provide a structured methodology to improve existing AI implementations.
What’s the ideal team composition for attending - should we send UX designers, developers, or both?
The course is designed for anyone responsible for designing, implementing, or managing AI automation solutions. While it is experience-design-focused, technical developers will still find it highly beneficial, as they will gain insights into how to build AI that aligns with real user needs.
Will this training help us design AI interactions that feel more natural and human-like?
Yes! Ironically, large language models (LLMs) are not naturally great at conversations. This training teaches you how to design structured, context-aware, and human-like AI interactions, ensuring your AI solutions feel seamless and engaging.
Does the training cover specific tools or platforms, or is it platform-agnostic?
The course is completely platform-agnostic. However, if your team is using a specific platform, we can incorporate relevant examples based on your tools. We also offer follow-on coaching to help with implementation on your chosen AI platform.
Will the course help us optimise AI workflows and business automation, not just chatbot conversations?
Yes! Many chatbots fail because they lack full workflow automation. This training goes beyond chatbot design to teach AI-driven workflow automation, ensuring that your AI solutions don’t just respond to users but also drive real efficiency and process improvements.
Does the training cover voice-based AI experiences, or is it primarily focused on text-based automation?
Voice AI is covered in the AI Design Advanced course, which includes voice user interface (VUI) design and contact center automation. Many companies take all three courses sequentially to build a comprehensive AI skill set, but this module can also be taken separately.
Will the training provide real-world case studies or examples of successful AI implementations?
Yes, we include numerous real-world examples and case studies from enterprises that have successfully deployed AI solutions using our methodologies.
Will this training help our team move from proof-of-concept AI to full-scale deployment?
Yes! We teach proven methodologies that have been successfully implemented across global enterprises. You’ll gain the knowledge needed to move beyond experimentation and scale AI solutions effectively.
Does this training help in setting up an AI Center of Excellence within our company?
Yes, this training provides the fundamental skills required to build an internal AI Center of Excellence (CoE). It ensures your team has the knowledge, governance frameworks, and methodologies to deploy AI effectively.
Can we take only one module, or is it recommended to complete all three?
You can take individual modules, but completing all three is highly recommended if you want a fully enabled AI team that is ready to design, deploy, and optimize AI solutions at scale.
Is there any post-training support to help implement what we learn?
Yes! We offer ongoing coaching, implementation support, and co-deployment assistance to help you successfully apply what you’ve learned in real-world scenarios.
