Enterprise AI Workshop

AI in Practice

Most teams are using AI. Few have designed how they use it.

This workshop helps design leaders and cross-functional teams move beyond experimentation and into a deliberate, systems-level approach to AI integration, one that creates lasting operational value rather than scattered individual habits.

Workshop Overview

Your Facilitator

About the Instructor

Todd R. Lewis, Design Leader and Systems Thinker

Todd R. Lewis

Design Leader & Systems Thinker

Todd has spent over 15 years working at the intersection of design, systems, and organizational complexity. He has led design for enterprise organizations, including Fortune 500 clients, built and scaled design systems from the ground up, and spent the past several years mentoring designers across career stages and industries.

His approach to AI is not rooted in enthusiasm for the technology itself, but in a rigorous examination of how organizations actually work, and where AI fits within that reality. He brings the same frameworks he uses to evaluate design systems and team structure to the question of AI adoption: clarity over novelty, systems over shortcuts, and outcomes over activity.

15+
Years in Product Design
10+
Years in Design Systems
83
Designers Mentored
F500
Enterprise Experience

The Challenge

The Problem Isn't Access to AI

AI tools are widely available and improving rapidly. The harder problem, the one most teams aren't solving, is knowing how to integrate them into the organization in a way that scales, holds up under scrutiny, and doesn't quietly introduce new risk.

  • Teams adopt AI tools without changing how they actually work. The tool changes; the workflow doesn't.
  • Individual experimentation stays individual. What one person learns rarely becomes shared team practice.
  • The conversation focuses on prompting. Workflow design, standards, and systems thinking get left behind.
  • Leaders lack frameworks to evaluate AI's role in their operations, beyond what vendors are telling them.
  • The volume of AI discourse makes deliberate adoption harder, not easier. Signal is buried in noise.

The Real Gap

The challenge isn't capability. It's the absence of a deliberate organizational strategy for how AI fits into how you work.

The Workshop

Built Around Systems, Not Shortcuts

This is a structured, facilitated session for teams who want a clear-eyed, practical approach to AI. No vendor advocacy. No feature demonstrations. No prompting tricks.

The focus is on building a shared mental model, mapping how AI fits your actual workflows, and establishing the criteria your team will use to evaluate and integrate AI tools going forward. Participants leave with something concrete, not just inspiration.

Format

Facilitated workshop, on-site or remote

Duration

2–4 hours, modular and configurable

Participants

6–20 per session; cross-functional teams welcome

Customization

Tailored to your team's context and AI maturity

Learning Objectives

What Participants Will Learn

The workshop is designed to shift thinking, not just introduce techniques. Participants will come away with new frameworks, shared language, and the practical groundwork to apply what they've learned immediately.

01

How to evaluate AI tools against actual workflow needs, not marketing claims or peer pressure.

02

Where AI creates genuine leverage versus where it introduces hidden cost or dependencies.

03

How to map AI touchpoints to existing team processes, handoffs, and decision points.

04

The distinction between automation, augmentation, and replacement, and when each is the right call.

05

How to establish team-level standards for AI use that hold up beyond individual preference.

06

How to design prompts as a repeatable, systems-level skill, not a one-off trick.

07

What "good AI integration" looks like in an enterprise context, and how to recognize its absence.

08

How to build a lightweight adoption framework your team can use, maintain, and evolve over time.

Workshop Structure

Modular. Configurable. Purposeful.

The workshop is structured in four modules, each with a distinct purpose. Sessions can run the full sequence (3–4 hours) or be configured as focused half-day engagements (2 hours) depending on your team's needs and available time.

M–01 45 min

Framing the Landscape

Establish shared vocabulary. Examine the current AI landscape without the noise. Understand where enterprise organizations are finding traction, and where they're struggling, so your team can enter the conversation with clear eyes.

M–02 60 min

Mapping Your Workflow

Identify the actual shape of your work. Map existing processes, handoffs, and decision points. Surface the places where AI could create real leverage, and the places where premature adoption could cause harm or introduce technical and organizational debt.

M–03 60 min

Designing for Integration

Work through real integration scenarios using your team's actual workflows as the substrate. Practice prompt design as a systems skill. Define the criteria you'll use to evaluate new AI tools, grounded in your organization's context, not someone else's.

M–04 30–45 min

Building Your Practice

Draft a lightweight adoption framework your team can put into practice immediately. Define what "good" looks like in your organization. Leave with clarity, shared alignment, and a concrete starting point, not a list of tools to evaluate later.

Outcomes

What Your Team Walks Away With

The value of this workshop is not measured by how energized people feel at the end. It's measured by what they're able to do differently the following week.

  • A shared mental model for AI adoption, consistent language and framing across the team, not just among early adopters.
  • A documented workflow map with identified AI touchpoints, specific, grounded in your actual processes.
  • A clear set of criteria for evaluating new AI tools against real organizational needs.
  • A starting framework for team-level AI practice that is lightweight enough to implement and flexible enough to evolve.
  • Alignment on what responsible, effective AI use looks like in your specific context, not a generalized ideal.

The Goal

Teams don't leave this workshop inspired to explore AI. They leave with a clear starting point for integrating it deliberately.

Who This Is For

This Workshop Is Designed For

The workshop is most effective for teams at an inflection point, organizations that have started using AI but recognize they need more structure, or those preparing to make a deliberate investment in how AI fits into their work.

  • Design leaders and senior ICs: those responsible for design quality, team standards, and how the practice evolves over time.
  • Product managers and product leadership: teams making decisions about where AI fits into the product and the workflows that support it.
  • Cross-functional teams evaluating AI adoption or trying to align on how it should be used across disciplines.
  • Organizations building intentional AI practice: not just adding tools, but establishing how AI is governed, evaluated, and integrated at the team level.
  • Teams already using AI tools but lacking shared structure, standards, or a clear framework for deciding what good looks like.

Ready for a Different Kind of AI Conversation?

This workshop is available for on-site and remote delivery. Sessions are tailored to your team's context, current size, and maturity with AI. The first step is a conversation.

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