AI Flywheel

May & June 25

Cohort 1

Design Leaders

June 25

Nov 27th Workshop

Nov 

Cohort 1 

March / April 25

Cohort 8 - May 2026

June & July 25

Saturday 18th July

Friday 3rd July

February 2026

August

Oct-Nov

Cohort 3

Product managers who drive strategy, development, and launch of products.

User researchers conducting interviews, usability studies, and customer research to inform product decisions.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

User experience design — information architecture, interaction design, usability, and end-to-end experience flows.

A transformative course for designers creating the new architecture of human-AI relationships in an era where trust determines adoption. 

Veteran Design Leader & AI Coach

Riley Coleman

Human-Centred Design Leader & AI Adoption Strategist

Designing AI Users Trust

Senior Service Designer

Senior Project Manager 

Senior Service and Strategy Designer

UX Architect 

Service Design Manager

Industrial Designer 

Strategic Product & Service Designer

Inclusive Designer 

Conversation Designer

Head of Design

Rapidly gain the skills every employer is looking for NOW - and in the future 

AI Adoption Coach

Veteran Design Leader Aust & EU. With Masters in HCI & Cert in Ethics of AI 

You’ll gain a proven process to integrate AI effectively and responsibility —so you stay competitive, relevant, and indispensable. Why this course is different 1. Most AI courses are tech-centric and overwhelming you with jargon. I take a human-centric approach - explaining concepts in everyday approachable language and practical real world uses 2. To truly learn to leverage AI to its fullest potential; you need to shift the way you think about getting work done. 3. AI transformation requires more than just new skills - you need new micro-habits to make AI use feel more natural and the ability to redesign workflows to embed AI into your ways of working - you'll get both in this course. This course has been designed to reduce the friction of learning to adapt to AI driven ways of work, as well as boosters to accelerate your learning journey. BONUS BOOSTERS- Create Your AI Writing Assistant: A CustomGPT that writes exactly like you (but faster)- Create Your Personal AI Guide: A detailed guide based on your specific job role, your industry &amp; your tool stack - including starter prompts

Gain confidence & skills in using Generative AI to improve efficiency at work

Confidence in knowing what tools work for what type of tasks

Operations staff in corporates or agencies

Small Business Owners in non-regulated industries

Non-Technical employees looking to remain relevant

Epidemic Sound

CSIRO

Telstra

Amazon

Atlassian

Observe someone interacting with an AI system and you'll notice that moment - understated yet profound - when they hesitate before accepting a recommendation. This PAUSE represents the most valuable element in human-AI interaction: a trust assessment occurring in real time. The New Design DisciplineWe stand at an inflection point in design. For decades, we've created static interfaces navigated in predictable patterns. AI fundamentally disrupts this paradigm. We're no longer designing experiences to be consumed but collaborations to be nurtured - a relationship between two different forms of intelligence that learn and adapt with every experience.The quality of this collaboration depends entirely on TRUST.Without it, people restrict their engagement and maintain a vigilance that prevents true partnership. This evolution demands a fundamental re-conception of what design means when interfaces become relationships and experiences become collaborations. Designers need to learn to adapt their skills and ways of working to be AI-enhanced, at the same time, their customers need them to learn to design AI they can trust.

Designing Systems People Trust

1. Understanding Collaboration Architecture

2. Crafting Trust Through Design

3. Evolving with Intelligence

Enhanced Work Practices - More productive & better outcomes

UX / Product / Service DesignersMove beyond interfaces to design meaningful collaboration between humans and AI based on trust.

DesignOps &amp; ResearchOps Develop frameworks that reveal the invisible qualities of trust &amp; transform how teams evaluate collaborative systems

Product Managers / LeadersDrive adoption &amp; retention by creating AI systems that users trust and want to use.

The Leadership Crisis No One Talks AboutIt's 2:47 AM and you're staring at the retention dashboard. Again. Your "AI-enhanced" feature launched to fanfare three months ago... great press, executive excitement, promising initial adoption. Now you're watching 73% of users abandon it after the first session. Tomorrow's executive product meeting is focused on exactly this: the design problem causing the retention cliff. You need to present research findings and lead a strategy discussion that could reshape your entire approach to AI. This isn't just about fixing a feature, it's about defining what AI design leadership looks like. Why This Moment MattersYour credibility was built on predictable delivery. For years, you shipped experiences that worked consistently. Now you're pioneering something entirely new, and that positions you to lead the industry standard. The paradigm has fundamentally shifted: Traditional UX Design:- Deterministic systems with predictable, consistent experiences- One-way interaction where users experience a fixed interface- Success measured by users completing intended paths AI Systems:- Non-deterministic learning systems where every interaction changes future behaviour- Bi-directional adaptation where both human and AI evolve through each encounter- Success measured by the quality of the evolving relationship﻿ 54% of people don't trust AI systems despite 61% of respondents using them daily. (University of Melbourne and KPMG, 2025) That retention cliff isn't a failure; it's feedback. Users sense the mismatch between predictable tools and learning entities. You're uniquely positioned to solve what no one else has figured out yet. The OpportunityThe leaders who master relationship design first won't just solve their retention problems; they'll become the case study everyone else studies.This is your chance to define what trustworthy AI design looks like, rather than follow standards someone else sets. A Leadership Transformation in Three MovementsThis intensive journey rebuilds your leadership approach for the relationship design era: 1. Leading Through UncertaintyHow to guide teams building systems that learn and adaptCommunicating AI value to executives without overpromisingMaking decisions about technologies you're still mastering 2. Building Trust-First TeamsEstablishing design processes for non-deterministic systemsCreating quality standards for evolving AI relationshipsDeveloping team capabilities in trust signal design 3. Scaling Relationship DesignImplementing frameworks that work across your entire organisationMeasuring success in dynamic, learning systemsBuilding competitive advantage through trustworthy AI ﻿For Design Leaders Under PressureDesigned for leaders who must deliver AI transformation while maintaining team confidence and executive credibility—who recognise that relationship design isn't just a new methodology, it's the fundamental shift that determines whether your organisation leads or follows. Whether you're currently:A UX Design Leader orchestrating team transformationA UX Research Leader scaling insights through AIA Strategic Design Leader defining AI-enhanced experiencesWhat unites our participants is their recognition that leading AI adoption requires something more nuanced than traditional management approaches. The Essential Leadership Outcomes You emerge with:Frameworks to guide teams building learning systems you can't fully predictLanguage to communicate AI value without technical BS to executivesProcesses that maintain quality while embracing non-deterministic outputsMetrics that prove relationship design delivers measurable business impactA network of leaders defining the standards everyone else will follow Most importantly, you join a community of leaders pioneering this emerging discipline; professionals who understand that the most valuable AI systems won't be those with impressive technical specifications, but those designed with profound understanding of human trust dynamics. A Limited ExperienceLimited to fifteen participants per cohortFocused on meaningful exchange and personal attentionA deliberate practice developed through engagement with fellow leaders "The leaders who recognise this shift first won't just survive the transition—they'll define what relationship design looks like for everyone else." ** This course can you considered as an Add-On to the Human-Centred AI : Building AI Systems People can Trust. https://maven.com/ai-flywheel/human-centred-ai

Lead with Trustworthy AI: Design, Innovate & Inspire

Course syllabus

Weekly LIve Ethics Lesson 90 minute sessions where we unpack 1 ethical principle in depth and have peer to peer conversation.

Thursdays - Live Workshops

You'll be given<ul><li>&lt; 60 min of e-learning modules per week</li><li>practical exercises</li><li>micro-habits to apply learnings directly to your AI use in your daily work</li></ul>

Self paced learning 

You have access to BONUS lessons to build your personal AI literacy - this optional session is a group coaching opportunity for any questions or challenges you have using AI for your own work.

Optional - AI Help Office Hours

Course schedule

UX &amp; Design Directors : Balancing executive AI demands with your team's creative integrity and fear of replacement.

UX Research Leaders : Scaling research with AI whilst preserving methodological rigour and meaningful human insights.

Service Design Leader : Reimagining end-to-end experiences with Human+AI interactions whilst maintaining human agency and trust.

Who is this course for

What you’ll get out of this course

You'll leave being able balance innovation with user trust, giving you confidence to lead AI initiatives that executives support.

1. Strategic AI Roadmap for Design Teams

Master proven design patterns that increase user trust in AI features by 30%. You'll learn exactly where transparency, human oversight, and error correction mechanisms create measurable improvements in adoption and retention.

2. Trust-Building Design Patterns 

Transform your designers from AI-overwhelmed to AI-empowered with frameworks that show exactly where AI enhances rather than threatens creativity. You'll restructure workflows that boost productivity whilst preserving your team's unique human value.

3. Team Transformation to AI-Enhanced Operations

Establish yourself as your organisation's trusted authority on Trustworthy AI design. You'll master the language, metrics and case studies that convince skeptical stakeholders, positioning you as the strategic bridge between technology and human experience.

4. Leadership Positioning Strategy

The live weekly sessions we unpack 1 ethical principle using a real world case study of an AI implementation that went wrong. Having peer-to-peer discussions and practice applying the ethical principle to a new case study. Allowing you to practice applying in safe space.

5. Real-World Implementation of AI Ethical Principles

Design leaders are under pressure -  expected to adopt AI, guide teams through change, protect creativity, and build trust at scale.

Designing AI users actually TRUST

Build Your Design Team's Strategic AI Adoption Framework

Design Mentorship Reimagined: Expert Feedback 24/7

Building Trust x Design: UX Testing Protocol for AI Products

Build AI Skills That Drive Promotions

AI & Privacy in Design : The Goldilocks 'just right' formula

9yrs in Design Leadership in Aust & EU Masters in HCI & Ethics of AI at LSE

GenAI sounds just as confident when hallucinating, when telling truth

Hear the difference with each Voice AI Design pattern

Designing for Voice AI solutions requires an entirely different skill - designing when there is no screen - 

Veteran Design Leader & Trustworthy AI Designer

Riley Coleman 

Learn to Design Voice AI ____   each pattern has recordings to let you listen to the differences

Prompt Writing that Preserves Privacy 

Series of Human-Centred Trustworthy AI Principles 

Everyone can chat with Claude, now build Claude Skills that 10x the quality. 

AI Adoption Specialist with human-centred focus. 

Most professionals are still stuck getting inconsistent outputs that don't refect your team's pre-AI quality standards.Faster ways to produce AI Slop helps no-one. This is not another course to help you talk about AI. This is a workshop that will deliver you a systematic, repeatable way to get obviously better AI outputs.Repeatable output. Recognisably yours.

You're not here because you want to use AI more. 
You're here because you want to build the capability to get consistently better AI output

Builds the mental model that moves you from using AI to genuinely working it.

Learn to encode your craft, voice, and quality bar into AI that avoids AI slop

Uploading and using Skills in Claude

Designers, Researchers and Design Ops

Freelancers looking to build scalable systems for client work.

Professionals and Leaders looking to elevate their AI use while not losing their own craft, decision making and quality standards.

Learn directly from AI Flywheel

AI Flywheel

Courses

Approachable AI for Busy Non-Tech Professionals

Designing AI Users Trust

AI Design Leadership: Transforming Your Practice for the Intelligence Era

Workshops

Design Highly Effective Claude Skills

Lightning Lessons

Designing AI users actually TRUST

Build Your Design Team's Strategic AI Adoption Framework

Design Mentorship Reimagined: Expert Feedback 24/7

Building Trust x Design: UX Testing Protocol for AI Products

Build AI Skills That Drive Promotions

AI & Privacy in Design : The Goldilocks 'just right' formula

Resources

Build Your Design Team's Strategic AI Adoption Framework

Learn to Design Voice AI ____ each pattern has recordings to let you listen to the differences

Prompt Writing that Preserves Privacy

Series of Human-Centred Trustworthy AI Principles