Marc Chataigner

Master Trust Signals Fostering Agentic AI Staff Adoption

Assistant Professor of Practice, HK Polyu Design; Adjunct Professor, RMIT

Participants will explore and discuss the structured set of institutional, organisation and experiential trust signals

Building a comprehensive view of Trust Signals

Participants will map and discuss instances of dis-trust or lack of trust in their current deployed Agentic AI systems.

Identifying challenges to trust in existing Agentic AI setup

Participants will develop pathways to incorporate and deploy relevant Trust Signals in a timely, coordinated manner.

Roadmapping Trust Signals design & incorporation

Arming senior leadership teams with the AI literacy, practical skills and strategic acumen needed to guide their companies into the AI era.

ACC Executive Team

April 2026 Cohort

AI Strategist // Trainer // Futurist

Mark Laurence

Founder and lead consultant at generative AI consultancy Ten Past Tomorrow.

March 2026 Cohort

May 2026 Cohort

“We're going to get to AI systems that are better than almost all humans at almost all tasks... That's the thing I think we're quite likely to get in the next two or three years." - Dario Amodei (CEO, Anthropic. However… ”Only 8% of employees reported they feel GenAI is already transforming their organisation.” - Deloitte - State of Generative AI in the Enterprise report, Q4 2025. Quite frankly, the gap between AI advancement and AI adoption that those two stats speak to is just too large. It’s no longer just a gap. It’s a chasm. And add to that… “In organisations where AI is openly embraced, the chance of developing 'AI Experts' and 'AI Practitioners' is halved when direct managers discourage its use, either directly or indirectly.” - Section School - The AI Proficiency Report. Merging those three storylines and you get a headline that says that senior leadership is the bridge that connects AI aspirations to organisational reality, and ultimately the trajectory of its integration at every level. In other words; true organisation-wide AI adoption doesn’t begin with technology or tools. It begins with leadership. AI literate and AI skilled senior leadership.

Close the AI capability gap: Exec-level training for senior leadership teams

Master AI prompting fundamentals

Evaluate and select AI tools strategically

Discover how to truly scale AI usage throughout your business

Develop a 5-step AI transformation roadmap

Lead AI change management

Implement AI governance and privacy practices

Senior leadership teams wanting to collectively, confidently, knowledgeably, skilfully and ethically lead an AI-forward company.

SLT teams who sense AI is far more than a technical challenge, that it demands leaders step forward to lead comprehensive strategic change.

Leadership teams excited by making a genuine commitment to fundamentally reshape their people, processes and businesses.

Turn AI into your competitive advantage—automate, optimize, and lead smarter with agentic workflows.

Cohort 16

UC Berkeley Instructor | ex CIO & CPO 

UC Berkeley

Microsoft

James Gray

UC Berkeley AI Instructor | Former CIO/CPO | Trained 5,000+ Leaders

Cohort 15

Cohort 17

AI transformation starts with leaders who build, not just evaluate.You're approving AI initiatives you can't personally validate. Your team experiments with prompts but nobody designs repeatable workflows. You know AI should save time, but you can't quantify where or how much. Strategy decks pile up while execution stalls.In 4 weeks, using the Business-First AI Framework and your agentic builder stack, you'll:✅ Apply the Business-First AI Framework to discover your highest-impact workflows and build a living registry✅ Evaluate workflow architectures on the autonomy spectrum and map them to the seven agentic building blocks✅ Build reusable agent skills that capture your expertise for consistent, team-ready execution✅ Design deterministic and collaborative AI workflows powered by your skills✅ Become fluent with Claude Code, Cursor, and your full builder stack using plan mode and agentic coding✅ Deploy multi-agent autonomous systems that handle complex workflows This isn't theory — it's a hands-on builder methodology from training 5,000+ leaders at UC Berkeley and a decade at Microsoft. Rated 4.8/5. Intimate cohorts, 1:1 coaching, lifetime access. We build together — not lectures.

From AI User to Business-First AI Builder in 30 Days

Apply the Business-First AI Framework to your work

Evaluate AI workflow architectures to select the right pattern for each use case

Build reusable Agent Skills that turn expertise into AI workflows

Build deterministic and collaborative AI workflows powered by skills

Become fluent with your agentic AI builder stack

Build multi-agent autonomous systems for complex workflows

The course extensively utilizes AI assistants, such as ChatGPT, Claude, and Gemini. Some lessons are unique to these tools.

You have a paid subscription to one or more: ChatGPT, Claude, Gemini

The course does not require coding experience, but we will use AI code editors (Cursor/VS Code) to build and refine prompts

No coding experience

This cohort experience is for people who learn best in small groups and value personalized feedback from an experienced instructor.

Learning in a small, supportive cohort

Leaders and professionals who believe in “learning by doing” by using cutting-edge tools and building AI solutions&nbsp;hands-on.

Leaders who must understand the latest AI capabilities to&nbsp;drive an AI-powered business strategy credibly.

Professionals who must boost their AI technology acumen to strengthen collaboration and influence with technical stakeholders.

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

Epidemic Sound

CSIRO

Telstra

Amazon

Atlassian

Riley Coleman

Human-Centred Design Leader & AI Adoption Strategist

February 2026

Cohort 8 - May 2026

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.

Learn to use AI to write, analyze, and engage smarter—building faster, more strategic, and more trusted communications skills.

Trusted AI Communications Consultant

Kathryn Kolaczek

Kathryn Kolaczek is a communications strategist and AI trainer.

Cohort 1

Public trust is harder to earn than ever, and communications teams are under pressure to move faster, respond better, and engage more meaningfully with their communities. AI is already changing how organizations write, analyze feedback, prepare materials, monitor issues, and support decision-making. But most people are being asked to use these tools without clear guidance on where they help, where they create risk, and how to use them responsibly. This course closes that gap. It gives communications and engagement professionals a practical understanding of how AI can improve efficiency, strengthen public engagement, and support better work—without losing trust, accuracy, or human judgment. Participants will learn how to use AI for drafting, research, message development, and analyzing public input, while also understanding the risks of bias, hallucinations, privacy concerns, and overreliance. Rather than treating AI as hype or fear, this course shows how to apply it with confidence, ethics, and strategy.

The Human Side of AI: Better Communications Without Losing Trust

AI can help municipalities listen at scale.

Speed is useful, but trust is everything.

 Bias is not a technical glitch — it is a public trust issue.

 AI should support human judgment, not replace it.

 Important guardrails and policies matter.

<ul><li>Municipal communications leaders wanting practical AI skills to improve engagement, speed, and public trust.</li></ul>

<ul><li>Public engagement professionals who need better ways to analyze input, draft materials, and reduce risk.</li></ul>

<ul><li>Public sector managers and advisors building team guardrails, policies, and responsible AI practices</li></ul>