OpenAI Software / SaaS North America

Figma

Application Refactoring

Dev Mode streamlined handoff with structured data like CSS and tokens, and MCP takes it further by letting developers invoke a coding agent that translates mocks into production-ready code with full context—no manual copy-pasting required.

Reported impact

Business outcome

That’s why AI is embedded throughout Figma—from in-product text editing and image generation to auto-renaming layers and site visuals—helping make creation faster, more intuitive, and accessible to more people.

  • Customer Experience
  • Productivity Improvement
  • Speed to Market

Solution

Dev Mode streamlined handoff with structured data like CSS and tokens, and MCP takes it further by letting developers invoke a coding agent that translates mocks into production-ready code with full context—no manual copy-pasting required. Figma is where teams come together to turn ideas into the world’s best digital products and experiences. We spoke with Figma’s David Kossnick, Head of AI Products, about the impact of AI in design, empowering creativity, and building AI fluency for Figma employees. As AI makes it easier than ever to create digital products, great design will increasingly be a key differentiator. But design isn’t just pixels; it’s craft: empathy, workflow understanding, and problem-solving.

Data flow

Figma is where teams come together to turn ideas into the world’s best digital products and experiences. We spoke with Figma’s David Kossnick, Head of AI Products, about the impact of AI in design, empowering creativity, and building AI fluency for Figma employees.

Solution architecture

2 components · 2 layers
  1. Compute
    • OpenAI API Embeds model capabilities inside the customer’s application or internal workflow.
  2. Serving
    • ChatGPT Enterprise Provides a governed assistant environment for employees working across the deployment’s core workflows.

Architecture clues

  • As AI makes it easier than ever to create digital products, great design will increasingly be a key differentiator.
  • At the same time, AI is also a platform shift .
  • Embeds model capabilities inside the customer’s application or internal workflow.
  • Figma is where teams come together to turn ideas into the world’s best digital products and experiences.
  • Provides a governed assistant environment for employees working across the deployment’s core workflows.

Evidence from the source

As AI makes it easier than ever to create digital products, great design will increasingly be a key differentiator.
At the same time, AI is also a platform shift .
Dev Mode streamlined handoff with structured data like CSS and tokens, and MCP takes it further by letting developers invoke a coding agent that translates mocks into...
Figma is where teams come together to turn ideas into the world’s best digital products and experiences.
Transparency Evidence & methodology 65/100 reference value · 87% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value65/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence87%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. OpenAI

    Figma customer story

    First-party
    https://openai.com/index/figma-david-kossnick/
    Source type
    Vendor-published customer story
    Published
    May 6, 2025
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page May 6, 2025 · OpenAI · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.