Deconstructing AI-First Service Design

Hosted by Frank Spillers UX Inner Circle

Fri, Jul 17, 2026

4:00 PM UTC (30 minutes)

Virtual (Zoom)

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AI-First UX & Service Design 101 & Certification- Design for LLM & Agents
Frank Spillers
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What you'll learn

See Where AI Actually Changes the Service

Identify the hidden layers of AI-first services including orchestration, memory, decision logic, escalation and more.

Diagnose AI Service Risks Before They Scale

Deconstruct real AI-first service patterns and identify weak points across frontstage and backstage systems.

Redesign Services for Human + AI Collaboration

Use a framework for designing AI-assisted services that balance automation, human judgment, transparency, and recovery.

Why this topic matters

Most orgs are not designing AI-first services. They are adding AI onto old service models. That creates fragmented experiences, operational confusion, hidden risks, poor escalation, unsafe automation and trust failures. Chiefly, AI changes more than the interface. It changes: decision-making, workflows, governance, accountability, customer expectations-- with a bigger focus on backstage operations

You'll learn from

Frank Spillers UX Inner Circle

Frank Spillers 25-year UX and Service Design Leader

I’ve led AI-first service design across government, enterprise, and start-ups.

Founded award-winning Experience Dynamics, a global UX and Service Design consultancy.

Design leader with 25+ years redesigning complex products and services across channels, touchpoints and organisations.

I specialise in inclusive service design and in helping teams identify root causes and implement impactful interventions. I’ve led service design in enterprise, gov and startups end-to-end from problem framing to service blueprints and operational and org change.

I mentor at UX Inner Circle for brands like Google, Harvard, Accenture, Dell, Mercedes-Benz, Zappos, Netflix and FedEx.

Recently led Service Design (AI Frontiers) @ UK Government Digital Service and:


>>>Why attend this session?


Learn:

a) How to identify the hidden layers of AI-first services including orchestration, memory, decision logic, escalation, and guardrails. 


b) How AI creates new forms of failure demand, operational risk, trust breakdowns, and exclusion.


c) To gain practical frameworks for designing AI-assisted services that balance automation, human judgment, transparency, and recovery. 

Previously at

Nike
Intel
Microsoft
Mayor of London
NYC.gov
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