Frank Spillers UX Inner Circle

Redefining Agentic AI with UX & Service Design

Nike

UK Government Scotland

NYC.gov

Microsoft

Intel

Frank Spillers

Frank Spillers is a UX and Service Design leader with 25+ years

Learn how “agentic AI” needs clarification. Separate user agency from automation theatre.

Clarify how agentic UX will perform

Define intent, scope, timing, and intervention across touchpoints. Map agentic decisions across journeys and ops.

Design agency across journeys, not just screens

Use a fast critique method to spot hidden autonomy and missing controls.

Audit and redesign agentic AI safely

Professionally, this helps you lead AI conversations confidently and design services that stay governable & de-risked.

Gain a shared language for UX and service teams.

This course teaches you how to adapt your UX research and design practices to deliver AI-based functionality.


Cohort 8

World-renowned Leader in UX and Design

Center Centre – UIE

Jared Spool

Guides UX professionals on delivering well-designed products and services.


Cohort 7

Cohort 9

Ensure that every new AI capability your organization delivers improves the lives of your users and customers. AI is changing everything, and it’s currently impossible to imagine a world without it. The romantic viewpoint speaks to all the new things we’ll do with it — how it’ll make all our lives so much better.Yet you'll need to invest significant effort to realize the full potential of your AI functionality. UX and Design can (and should) play a substantial strategic role in how AI is infused into your organization’s products and services.How do you ensure that every new AI capability your organization delivers improves the lives of our users and customers?You can’t let AI be something that just happens to your products. You must intentionally design your AI capabilities to respect AI’s limitations while delivering exceptional experiences to the people you design for.

UX & Design for Today's AI Functionality

Section 1: Delivering Strategic UX & Design into the AI World (Lecture: 2 hours)

Section 2: Bringing AI Value through Intelligent UX & Design (Lecture: 1 hour)

Section 3: The Strategic UX & Design Process in an AI World (Lecture: 3 hours)

Learn how to adapt UX and design practices to deliver AI-based functionality.

For UX professionals seeking a user-centered approach to implementing AI.

Experienced Product and UX leaders who are now building and designing AI capabilities into their products and services.

Senior UX and Individual Contributors who want to take a leadership role in their org to ensure that UX is given attention with AI efforts.

Professionals ready to drive strategic thinking throughout their org on how to implement and deliver innovative, high-quality AI-infused UX.

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

UC Berkeley Instructor | ex CIO & CPO 

UC Berkeley

James Gray

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

Cohort 15

Cohort 16

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.

Go beyond interfaces—shape how intelligent systems behave.

AI Design Leader |  x-Uber/Google/Amazon

Stanford University

Amazon

Google

Uber

Rupa Chaturvedi

AI Design Leader | AI enablement for UX orgs | ex-Uber, Google, Amazon, Stanford

Cohort 2

Cohort 3

AI is fundamentally changing how software products are being built. Companies are integrating large language models, agents, and adaptive systems. But user experience is often an after thought.The challenge? Designing for AI isn't like designing for traditional software. It's about system behavior, adaptation, and collaboration between humans and machines.If you've launched an AI feature only to watch users abandon it because they didn't understand what it was doing, or if you've been asked to "design the AI experience" but weren't sure where to begin, this course is for you.The Designer's Role Is EvolvingOpenAI and Zillow recently posted Model Designer roles focused on shaping how models behave. AI design roles are becoming mainstream, and designers are increasingly being pulled into agentic workflows. This signals where the discipline is headed: designers who can work upstream, influencing what systems learn, how agents act, and when they surface decisions to users.The discipline is shifting upstream. Designers must now shape what systems learn, how agents behave, and when to include humans in the loop - not just style the interface.

The AI Tech Revolution Is Redefining Design

Understand Model Capabilities and Constraints

Specify and Evaluate Model Behavior

Design for Adaptive and Emergent Systems

Build Trust Through Transparency and Human Oversight

Design Agentic Workflows and Multi-Step Interactions

 Influence Upstream Product Decisions

Senior UX &amp; Product Designers: Deepen your systems thinking skills and learn to design around model behavior

Design Leads &amp; Heads of UX: Guide teams, shape AI product strategy, and lead with system-level thinking and trust design.

AI-Aware PMs &amp; Researchers: Collaborate better with design, align model goals with UX, and support trust focused, adaptive systems.

Learn how to define task autonomy, decision thresholds, guardrails, and human override in agent-enabled systems.

BA-Cube Founder | LinkedIn Instructor

Angela Wick

25+ years practicing, shaping, and teaching analysis, product, and requirements.

Agentic AI Skills for Business Analysts

Agentic AI changes the game because AI can autonomously act. It can initiate actions, make decisions, and operate across workflows with increasing autonomy. Risk escalates, and so does opportunity! Without deliberate, disciplined, and structured analysis, agents act on incomplete logic, unclear boundaries, and undefined escalation paths. That is where exposure multiplies. This course matters because Business Analysts are uniquely positioned to define autonomy limits, decision thresholds, guardrails, and monitoring structures before agents scale. It equips you to design control into autonomy, so AI-driven systems remain accountable, coherent, and aligned with business intent rather than becoming fragile at scale.AI is moving beyond assistance. Agents can:<ul><li>Initiate actions on their own</li><li>Make decisions</li><li>Trigger workflows</li><li>Operate continuously</li></ul>This changes the role of Business Analysis.When agents act without clearly defined:<ul><li>Goals</li><li>Boundaries</li><li>Escalation rules</li><li>Monitoring thresholds</li></ul>Organizations lose control.This course teaches how to design and govern agent behavior responsibly.