AI Beyond Automation

AI Beyond Automation is a strategic intervention aimed at transforming how design teams adopt and scale AI within their daily operations. While most teams use AI for surface-level tasks, this project reframes AI as a systems-level enabler that reduces design waste, increases operational intelligence, and unlocks higher-value creative work. The solution includes a dual-artifact ecosystem designed to integrate AI meaningfully into the heart of DesignOps helping teams move from fragmented experimentation to intentional, measurable implementation.

Client

High Impact Project - Design Management [DMGT 755] | Fall'25

Timeline

AUG 2025 - NOV 2025

Skills & Methods

Design Thinking

STEEP Trend Analysis

Brand Development

Archetypes & Ecosystem Mapping

MVP Prototyping

Business Model Canvass

Blue Ocean Strategy

Design Ops

User Testing

Empathy Mapping

Design Research - Mixed Methods

GTM Strategy Building

Value Pillars & Value Propositions

Value Proposition Canvas

AI Automation Toolkit

Team

Prathamesh Patil

PROBLEM

Design teams are rapidly adopting AI, but often in shallow, disconnected ways, using tools for mockups, content generation, or visuals without embedding AI into the operational backbone of how design happens. This results in:

  • Redundant manual workflows

  • Scattered experimentation

  • Low ROI on AI investments

  • Lack of trust or shared understanding across team roles

There’s a critical need to guide teams from tactical to strategic AI usage, especially within DesignOps.

SOLUTION

The project delivers a 2-part ecosystem that helps design teams align, adopt, and scale AI meaningfully across their operations:

  1. AI X DesignOps Card Game

    • A strategic planning toolkit for mapping automation vs. human-in-the-loop decisions

    • Covers 10 categories of DesignOps (e.g., Team Ops, Research Ops, Design Systems, Knowledge Mgmt, etc.)

    • Includes AI role archetypes (AI Enthusiast, Ethics-Focused, Business-Impact, Balanced)

    • Helps teams define risk/reward boundaries and plan AI usage collaboratively


  2. DesignOps Workflow Automation Platform

    • A digital tool that ingests card game outcomes to create custom AI-powered workflows

    • Functions like an n8n-style logic builder tailored to design workflows

    • Tracks tasks, touchpoints, and team roles across automated and manual segments

    • Integrates performance metrics, adherence prompts, and impact documentation

    • Enables real-time tracking of design process efficiency, adherence, and business impact



VALUE DELIVERED

  • Provides a structured AI onboarding layer for design teams of any maturity level

  • Bridges the gap between strategy, tooling, and collaboration in AI adoption

  • Offers a scalable, repeatable framework for enterprises looking to invest in AI-powered design systems

  • Project nominated for multiple pitch and showcase opportunities at SCAD

APPROACH

The project followed an intentional, systems-driven process:

  • Discovery: Mapped gaps in current AI design adoption through research and 1:1 conversations with design professionals

  • Synthesis: Identified a strategic opportunity at the DesignOps layer where AI could be deeply embedded

  • Framework Creation: Developed a role-based, category-driven planning structure via the card game

  • Tool Architecture: Designed and prototyped a digital workflow builder to operationalize card game insights

  • Business Case: Created an ROI structure to validate the cost-saving and time-saving potential of the system

  • MVP Design: Built early prototypes using modular design system principles and AI interaction logic


SUMMARY

AI Beyond Automation is not a productivity tool, it’s a mindset shift. It gives design leaders and teams a concrete pathway to scale AI across operations with intention, ethics, and strategic value. Whether it’s mapping team roles, automating redundant tasks, or unlocking new forms of insight, this project proves that when AI meets DesignOps, the entire system evolves.

© 2026 Prathamesh Patil.
© 2026 Prathamesh Patil.
© 2026 Prathamesh Patil.

AI Beyond Automation

AI Beyond Automation is a strategic intervention aimed at transforming how design teams adopt and scale AI within their daily operations. While most teams use AI for surface-level tasks, this project reframes AI as a systems-level enabler that reduces design waste, increases operational intelligence, and unlocks higher-value creative work. The solution includes a dual-artifact ecosystem designed to integrate AI meaningfully into the heart of DesignOps helping teams move from fragmented experimentation to intentional, measurable implementation.

Client

High Impact Project - Design Management [DMGT 755] | Fall'25

Timeline

AUG 2025 - NOV 2025

Skills & Methods

Design Thinking

STEEP Trend Analysis

Brand Development

Archetypes & Ecosystem Mapping

MVP Prototyping

Business Model Canvass

Blue Ocean Strategy

Design Ops

User Testing

Empathy Mapping

Design Research - Mixed Methods

GTM Strategy Building

Value Pillars & Value Propositions

Value Proposition Canvas

AI Automation Toolkit

Team

Prathamesh Patil

PROBLEM

Design teams are rapidly adopting AI, but often in shallow, disconnected ways, using tools for mockups, content generation, or visuals without embedding AI into the operational backbone of how design happens. This results in:

  • Redundant manual workflows

  • Scattered experimentation

  • Low ROI on AI investments

  • Lack of trust or shared understanding across team roles

There’s a critical need to guide teams from tactical to strategic AI usage, especially within DesignOps.

SOLUTION

The project delivers a 2-part ecosystem that helps design teams align, adopt, and scale AI meaningfully across their operations:

  1. AI X DesignOps Card Game

    • A strategic planning toolkit for mapping automation vs. human-in-the-loop decisions

    • Covers 10 categories of DesignOps (e.g., Team Ops, Research Ops, Design Systems, Knowledge Mgmt, etc.)

    • Includes AI role archetypes (AI Enthusiast, Ethics-Focused, Business-Impact, Balanced)

    • Helps teams define risk/reward boundaries and plan AI usage collaboratively


  2. DesignOps Workflow Automation Platform

    • A digital tool that ingests card game outcomes to create custom AI-powered workflows

    • Functions like an n8n-style logic builder tailored to design workflows

    • Tracks tasks, touchpoints, and team roles across automated and manual segments

    • Integrates performance metrics, adherence prompts, and impact documentation

    • Enables real-time tracking of design process efficiency, adherence, and business impact



VALUE DELIVERED

  • Provides a structured AI onboarding layer for design teams of any maturity level

  • Bridges the gap between strategy, tooling, and collaboration in AI adoption

  • Offers a scalable, repeatable framework for enterprises looking to invest in AI-powered design systems

  • Project nominated for multiple pitch and showcase opportunities at SCAD

APPROACH

The project followed an intentional, systems-driven process:

  • Discovery: Mapped gaps in current AI design adoption through research and 1:1 conversations with design professionals

  • Synthesis: Identified a strategic opportunity at the DesignOps layer where AI could be deeply embedded

  • Framework Creation: Developed a role-based, category-driven planning structure via the card game

  • Tool Architecture: Designed and prototyped a digital workflow builder to operationalize card game insights

  • Business Case: Created an ROI structure to validate the cost-saving and time-saving potential of the system

  • MVP Design: Built early prototypes using modular design system principles and AI interaction logic


SUMMARY

AI Beyond Automation is not a productivity tool, it’s a mindset shift. It gives design leaders and teams a concrete pathway to scale AI across operations with intention, ethics, and strategic value. Whether it’s mapping team roles, automating redundant tasks, or unlocking new forms of insight, this project proves that when AI meets DesignOps, the entire system evolves.

© 2026 Prathamesh Patil.
© 2026 Prathamesh Patil.

AI Beyond Automation

AI Beyond Automation is a strategic intervention aimed at transforming how design teams adopt and scale AI within their daily operations. While most teams use AI for surface-level tasks, this project reframes AI as a systems-level enabler that reduces design waste, increases operational intelligence, and unlocks higher-value creative work. The solution includes a dual-artifact ecosystem designed to integrate AI meaningfully into the heart of DesignOps helping teams move from fragmented experimentation to intentional, measurable implementation.

Client

High Impact Project - Design Management [DMGT 755] | Fall'25

Timeline

AUG 2025 - NOV 2025

Skills & Methods

Design Thinking

STEEP Trend Analysis

Brand Development

Archetypes & Ecosystem Mapping

MVP Prototyping

Business Model Canvass

Blue Ocean Strategy

Design Ops

User Testing

Empathy Mapping

Design Research - Mixed Methods

GTM Strategy Building

Value Pillars & Value Propositions

Value Proposition Canvas

AI Automation Toolkit

Team

Prathamesh Patil

PROBLEM

Design teams are rapidly adopting AI, but often in shallow, disconnected ways, using tools for mockups, content generation, or visuals without embedding AI into the operational backbone of how design happens. This results in:

  • Redundant manual workflows

  • Scattered experimentation

  • Low ROI on AI investments

  • Lack of trust or shared understanding across team roles

There’s a critical need to guide teams from tactical to strategic AI usage, especially within DesignOps.

SOLUTION

The project delivers a 2-part ecosystem that helps design teams align, adopt, and scale AI meaningfully across their operations:

  1. AI X DesignOps Card Game

    • A strategic planning toolkit for mapping automation vs. human-in-the-loop decisions

    • Covers 10 categories of DesignOps (e.g., Team Ops, Research Ops, Design Systems, Knowledge Mgmt, etc.)

    • Includes AI role archetypes (AI Enthusiast, Ethics-Focused, Business-Impact, Balanced)

    • Helps teams define risk/reward boundaries and plan AI usage collaboratively


  2. DesignOps Workflow Automation Platform

    • A digital tool that ingests card game outcomes to create custom AI-powered workflows

    • Functions like an n8n-style logic builder tailored to design workflows

    • Tracks tasks, touchpoints, and team roles across automated and manual segments

    • Integrates performance metrics, adherence prompts, and impact documentation

    • Enables real-time tracking of design process efficiency, adherence, and business impact



VALUE DELIVERED

  • Provides a structured AI onboarding layer for design teams of any maturity level

  • Bridges the gap between strategy, tooling, and collaboration in AI adoption

  • Offers a scalable, repeatable framework for enterprises looking to invest in AI-powered design systems

  • Project nominated for multiple pitch and showcase opportunities at SCAD

APPROACH

The project followed an intentional, systems-driven process:

  • Discovery: Mapped gaps in current AI design adoption through research and 1:1 conversations with design professionals

  • Synthesis: Identified a strategic opportunity at the DesignOps layer where AI could be deeply embedded

  • Framework Creation: Developed a role-based, category-driven planning structure via the card game

  • Tool Architecture: Designed and prototyped a digital workflow builder to operationalize card game insights

  • Business Case: Created an ROI structure to validate the cost-saving and time-saving potential of the system

  • MVP Design: Built early prototypes using modular design system principles and AI interaction logic


SUMMARY

AI Beyond Automation is not a productivity tool, it’s a mindset shift. It gives design leaders and teams a concrete pathway to scale AI across operations with intention, ethics, and strategic value. Whether it’s mapping team roles, automating redundant tasks, or unlocking new forms of insight, this project proves that when AI meets DesignOps, the entire system evolves.

© 2026 Prathamesh Patil.
© 2026 Prathamesh Patil.