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Microsoft Software / SaaS United States

Docusign

Document Processing · Sales Automation · System Migration

Docusign needed to overcome the limitations of its current systems, scale operations, and automate processes. By implementing AI-driven agreement lifecycle management, it sought to serve its global customer base more efficiently.

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Docusign is fundamentally reshaping how organizations engage with their agreements. Using AI technology, the company modernized agreement management to address critical business challenges head-on.
Docusign, a leader in e-signature solutions with 1.6 million global customers, saw this challenge as a golden opportunity to reshape itself, along with the entire agreement management industry.
In today's fast-paced business landscape, agility isn't just an advantage-it's a necessity. When it comes to agreement management, outdated processes hinder progress

Reported impact

Business outcome

In today's fast-paced business landscape, agility isn't just an advantage-it's a necessity. When it comes to agreement management, outdated processes hinder progress

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

Docusign needed to overcome the limitations of its current systems, scale operations, and automate processes. By implementing AI-driven agreement lifecycle management, it sought to serve its global customer base more efficiently. The company turned to Azure to develop the Intelligent Agreement Management (IAM) platform. IAM automates, scales, and enhances the agreement management processes using Azure AI, Azure Cosmos DB, Azure Logic Apps, and AKS. With its revolutionary Azure-based platform, Docusign can now accelerate growth and scale globally. It supports millions of workflows, reducing contract processing times and enhancing customer satisfaction with advanced AI-powered analytics. Docusign, a leader in e-signature solutions with 1.6 million global customers, saw this challenge as a golden opportunity to reshape itself, along with the entire agreement management industry.

Data flow

Source content is gathered from the organization's documents and knowledge repositories, Azure OpenAI Service interprets or generates responses from that content, and the resulting answers or assessments are surfaced to employees or citizens through the application workflow.

Solution architecture

3 components · 2 layers
  1. Compute
    • Azure OpenAI Service Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.
    • Azure Kubernetes Service Runs the customer's containerized applications and AI services on a managed Kubernetes platform.
  2. Storage
    • Azure SQL Database Stores structured application and transactional data for the platform's core workflow.

Architecture clues

  • Azure Kubernetes Service: Runs the customer's containerized applications and AI services on a managed Kubernetes platform.
  • Azure OpenAI Service: Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.
  • Azure SQL Database: Stores structured application and transactional data for the platform's core workflow.
  • Docusign, a leader in e-signature solutions with 1.6 million global customers, saw this challenge as a golden opportunity to reshape itself
  • The company turned to Azure to develop the Intelligent Agreement Management (IAM) platform. IAM automates, scales, and enhances the agreement management processes using Azure AI
  • With its revolutionary Azure-based platform, Docusign can now accelerate growth and scale globally. It supports millions of workflows

Evidence from the source

Docusign needed to overcome the limitations of its current systems, scale operations, and automate processes. By implementing AI-driven agreement lifecycle management
Docusign, a leader in e-signature solutions with 1.6 million global customers, saw this challenge as a golden opportunity to reshape itself, along with the entire agreement management industry.
In today's fast-paced business landscape, agility isn't just an advantage-it's a necessity. When it comes to agreement management, outdated processes hinder progress
The company turned to Azure to develop the Intelligent Agreement Management (IAM) platform. IAM automates, scales, and enhances the agreement management processes using Azure AI, Azure Cosmos DB, Azure Logic Apps
With its revolutionary Azure-based platform, Docusign can now accelerate growth and scale globally. It supports millions of workflows
Transparency Evidence & methodology 70/100 reference value · 90% confidence · 2 sources

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 value70/100
  • 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 scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence90%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency9/10
    2 source references 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. Microsoft

    Docusign customer story

    First-party
    https://www.microsoft.com/en/customers/story/19814-docusign-azure-sql-database
    Source type
    Vendor-published customer story
    Published
    Nov 19, 2024
    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
  2. Built In

    DocuSign Careers, Perks + Culture | Built In

    Independent secondary
    https://builtin.com/company/docusign

    The Organization JSON-LD lists streetAddress '221 Main Street', addressLocality 'San Francisco', addressCountry 'US', and name 'DocuSign'.

    Source type
    Structured company profile
    Supports
    • Region

Date evidence

  • Published on source page Nov 19, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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