AI Flywheel

June 25

Cohort 1 

March / April 25

May & June 25

Cohort 1

Design Leaders

August

Nov 27th Workshop

Oct-Nov

Nov 

February 2026

Cohort 8 - May 2026

June & July 25

The vast majority of teams and organisations are struggling to see results for AI Adoption I'll share 3 key frameworks for Design Leaders who are facing these challenges. <ul><li>You need to build your own AI literacy whilst delivering projects at the same speed and quality as before.</li><li>You're developing your team's AI adoption strategy - people, processes, tools; whilst fighting for budget from executives.</li><li>Your designers are scared their creativity is being automated away.. </li></ul> All while continuing to deliver the same quality and pace as before.

Build Your Design Team's Strategic AI Adoption Framework

A Simpler Way to Keep AI Useful — and Private﻿The more we use AI at work, the more we risk exposing sensitive data — not out of carelessness, but out of convenience. It’s easy to forget: every prompt is a potential leak.

Prompt Writing that Preserves Privacy 

Ethics are invisible, ambiguous and rarely discussed So how are you meant to implement ethics into AI products &amp; services? Every factsheet has: <ul><li>Clear Explanation of what the principle means in practice </li><li>Implementation Checklist for your and your team </li><li>Key Metrics to Track </li><li>Role specific tips to implement this principle for you and your team</li></ul>

Series of Human-Centred Trustworthy AI Principles 

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 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

UX/UI Designer

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.

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. EVERY Week You Get : - 4 focused e-learning modules that build practical skills at your pace. - New mental models that transform how you think about AI and makes applying learnings 10x more effective - A New micro-habit to practice during the week that make AI integration more natural - Live Hand-on Learning Lab where we practice with AI tool in a group workshop and you get expert help to apply your learnings. 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

Course syllabus

Its your chance to get your questions answered by expert. You are welcome to share screen and talk through challenge in an AI tool if you like. This is recurring every Thursday at same time (check times for your timezones)

1hr  AI Group Coaching Session

Course schedule

Operations staff in corporates or agencies

Small Business Owners in non-regulated industries

Non-Technical employees looking to remain relevant

Who is this course for

What you’ll get out of this course

Know what AI can do and how you can use them to get different tasks done

Understand what AI core capabilities 

There are 1000s of AI tools out there and the number is growing every day. Being able to select the right tool for the task is crucial.

Ability to select the right AI tools for the right tasks

Effective prompting requires <ul><li>Good initial prompts</li><li>Good follow up prompts</li><li>Good feedback </li><li>Ability to validate AI outputs to check for bias and fact-check</li></ul>

Rapidly improve your prompting AI so you can get quality output consistently.

AI brings many opportunities but also many new risks. <ul><li>Knowing what they are, how to identify </li><li>Where they can occur and </li><li>Take steps to avoid or minimise potential harm</li></ul>Will enable you to take advantage of AI's enormous capabilities while staying safe.

Learn to minimise risks and use AI responsibility.

<ul><li>Learn to combining multiple AI tools to create end-to-end workflows. </li><li>Learn risk and how to minimise them</li><li>Learn to make data-informed but emotionally intelligent decisions</li><li>Learn to adapt your ways of working enabling you continue to adapt as the technology does. </li></ul>

Future-proof your career with AI expertise that matters.

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

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

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

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.

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

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

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 - 

Learn directly from AI Flywheel

AI Flywheel

Courses

Designing AI Users Trust

Approachable AI for Busy Non-Tech Professionals

AI Design Leadership: Transforming Your Practice for the Intelligence Era

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

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

Build Your Design Team's Strategic AI Adoption Framework

Prompt Writing that Preserves Privacy

Series of Human-Centred Trustworthy AI Principles