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DoorDash

Enterprise Knowledge Search · IT Operations Automation

Even enterprise chat tools have had a huge impact. What’s really exciting is how they’ve enabled more employees to become technical creators.

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_DoorDash is using ChatGPT Enterprise across its organization in both technical and non-technical teams including finance, sales, operations, IT, and marketing. OpenAI APIs also power DoorDash’s...

Reported impact

Business outcome

We’re lucky at DoorDash that our HR and IT teams include dedicated engineers and engineering resources focused on internal workflows. Not every HR team has that, but it’s been a huge enabler for us.

  • Productivity Improvement
  • Scalability

Solution

Even enterprise chat tools have had a huge impact. What’s really exciting is how they’ve enabled more employees to become technical creators. For example, someone on our people ops team built a script to automate document uploads—something they used to do manually one by one. That’s a huge shift. It democratizes automation and workflow creation that used to require engineering help. DoorDash is one of the world's leading local commerce platforms that helps businesses of all kinds grow and innovate, connects consumers to the best of their neighborhoods, and gives people fast, flexible ways to earn. We spoke with Mariana Garavaglia, Chief People Officer about measuring AI literacy, using AI to augment human judgment, and how it is helping employees make an even deeper impact.

Data flow

DoorDash is one of the world's leading local commerce platforms that helps businesses of all kinds grow and innovate, connects consumers to the best of their neighborhoods, and gives people fast, flexible ways to earn. We spoke with Mariana Garavaglia, Chief People Officer about measuring AI literacy, using AI to augment human judgment, and how it is helping employees make an even deeper impact.

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 a People team, we believe it’s important to raise both access and literacy around AI across the org.
  • DoorDash is one of the world's leading local commerce platforms that helps businesses of all kinds grow and innovate, connects consumers to the best of their neighborhoods, and...
  • Embeds model capabilities inside the customer’s application or internal workflow.
  • Provides a governed assistant environment for employees working across the deployment’s core workflows.
  • Tooling is a core responsibility for my HR and IT teams, and AI plays a key role across three layers.

Evidence from the source

As a People team, we believe it’s important to raise both access and literacy around AI across the org.
DoorDash is one of the world's leading local commerce platforms that helps businesses of all kinds grow and innovate, connects consumers to the best of their neighborhoods, and...
Even enterprise chat tools have had a huge impact.
Tooling is a core responsibility for my HR and IT teams, and AI plays a key role across three layers.
Transparency Evidence & methodology 61/100 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 value61/100
  • 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 specificity16/20
    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

    DoorDash customer story

    First-party
    https://openai.com/index/doordash-mariana-garavaglia/
    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.

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