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  • Agentic UX
  • Generative UI
  • AI Consulting
  • AI-Driven Team Design
  • AI-Product Design

Turn AI into a force that drives business.

In an era when AI is woven into every experience,
companies need Agentic UX that enables AI agents to act autonomously
in order to realize AI’s full value.
From AI-native experiences and operating systems
to brands that give people a reason to choose you in the age of AI,
we deliver the force that drives business forward.

Agentic UX

Turn AI into a force
that drives business.

Introducing AI is not the goal.
We design experiences and systems in which AI naturally supports
human judgment and business growth.
Every solution is designed
with this single point as its north star.

Diagnosis

AI diagnosis is where everything begins

Where should AI be used? Goodpatch’s work begins by identifying the answer. By gathering firsthand information and framing the challenge accurately, we propose the most effective way to support you.

  1. 01

    Structure the business challenge

    Break down management, frontline, and customer challenges, and identify where AI can help.

  2. 02

    Identify the target layer

    Determine what to change across product, workflow, and organization.

  3. 03

    Connect to the solution

    Choose the right intervention, and bridge to the three solutions.

Three Solutions

Three ways to act, chosen by target

We propose the right solution for the area identified through diagnosis.
Across products, operations, and organizations,
we leave behind systems that enable people to keep using AI.

  1. 01

    Client products

    Agentic UX

    Product experience design

    We provide broad support, from developing new AI products and implementing agentic experiences in existing services and products to building AI-driven development environments.

    Team
    Prompt LibraryDS × LLM
  2. 02

    Client business systems and workflows

    Harness Design

    Building AI design environments

    We turn the character and decision criteria that AI alone can easily lose into a repeatable design harness. By elevating judgment and knowledge that tend to remain with individuals into an environment the entire organization can reproduce, we work alongside clients through implementation in their operations.

    Team
    FDEEngineerUX Designer
  3. 03

    Client organizations

    AI-Driven Transformation

    Discover → Build → Embed

    Our goal is to enable clients to continue AI-driven development on their own after our engagement ends, so we work alongside them with in-house ownership in mind. We support each stage, from establishing the development environment and running proofs of concept to deciding when to move into production, leaving the organization with a foundation for self-sustaining progress.

    Team
    UX DesignerStrategistFDE

Outcomes

Outcome assets we leave with clients

In an era when creating with AI becomes commoditized, company-specific context—what questions to ask, what to value, and how to operate—becomes the hardest competitive advantage to imitate. Goodpatch is committed to translating that context into business impact and strengthening each client’s ability to move forward independently.

A hierarchy connecting conventional deliverables to four organizational capabilities, two economic outcomes, and an organization’s ability to operate independently.

Surface

Surface

Conventional deliverables

UI, prototypes, research reports, and design systems

Organizational capability

Organizational Capability

01

Problem Framing

Question-design assets

A system of prompts, evaluation criteria, and decision principles that helps AI address business challenges.

02

Taste as Infrastructure

Taste as infrastructure

Turning brand tone and decision criteria into explicit knowledge that AI can reproduce.

03

AI Native Workflow

AI-native work design

New workflows and organizational forms with human and AI roles built in.

04

Coherence System

Governance for coherence

Quality guardrails plus systems for evaluating, monitoring, and updating AI output.

Business economic value

Economic Outcome

05

Productivity Reengineering

Structural productivity change

Do the same work in half the time, or double output with the same team.

Improve cost structure and gross margin; turn labor cost into investment capacity

06

New Value Creation

Create new value

Customer experiences and personalization that can only be made with AI.

New revenue sources; differentiation competitors cannot follow

Core

Core

Organizational self-sufficiency

AI-native ways of thinking, deciding, and making become embedded inside the client organization.

New revenue sources; differentiation competitors cannot follow

Humanity Loop

Five phases reworked by Goodpatch for AI × Design. From exploration to adoption, we implement a loop in the business where people and AI learn from one another.

  1. 01

    Envision

    Design the agent-experience concept and north-star measures, then align stakeholders.

  2. 02

    Prototype

    Prototype generative UI and agent behavior in short loops alongside human-in-the-loop evaluation.

  3. 03

    Integrate

    Connect the design system and inference pipeline, building the foundation for operation and evaluation.

  4. 04

    Evolve

    Embed a continuous loop that improves prompts, UI, and models using real usage data.

  5. 05

    Discover

    Identify the problem AI should solve and articulate the assumptions for a proof of concept from business context and user observation.

Gp-AX Studio

A dedicated AI organization connecting design and AI

We launched Gp-AX Studio (Goodpatch AI Experience Studio) to strengthen the group's business foundation in the design × AI domain. Working as one across management, product, and research, we support clients' AI businesses from launch through operation.

  • Portrait of Katsuhisa Ishii

    Goodpatch Executive Officer

    Katsuhisa Ishii

    Drawing on his experience supporting numerous clients as an iOS developer and UI designer, he leads the development of AI-first design processes, advances AI capabilities across the company, and creates new solutions. He serves as an Executive Officer with primary responsibility for design.

  • Portrait of Satoshi Otake

    Goodpatch Business Lead

    Satoshi Otake

    He leads Strap, Goodpatch’s in-house AI product. He helps client companies visualize their operations and advance DX and AX (AI Transformation).

  • Portrait of Bei Le

    Goodpatch Product Manager

    Bei Le

    A product manager of AI products since the machine-learning era, he joined Goodpatch after working on an AI-powered smart EHR project at Alibaba Health. He develops AI products that improve productivity while driving AX across the company.

  • Portrait of Yuta Kunihiro

    Corporate IT

    Yuta Kunihiro

    Working at the core of Goodpatch’s company-wide information systems, he drives AX through initiatives such as AI tool adoption and business process improvement while strengthening the company’s IT foundation.

Get In touch!

Talk to us about anything—UI/UX design for services and products, brand building, AI adoption, new business development, or management and business strategy.