List of Google Cloud Workflows Customers
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Since 2010, our global team of researchers has been studying Google Cloud Workflows customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Google Cloud Workflows for iPaaS (Integration Platform as a Service) from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Google Cloud Workflows for iPaaS (Integration Platform as a Service) include: Workday Inc, a United States based Professional Services organisation with 20515 employees and revenues of $8.45 billion, Mr. Cooper, a United States based Banking and Financial Services organisation with 3000 employees and revenues of $750.0 million, Covered California, a United States based Insurance organisation with 1373 employees and revenues of $321.0 million and many others.
Contact us if you need a completed and verified list of companies using Google Cloud Workflows, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Google Cloud Workflows customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Covered California | Insurance | 1373 | $321M | United States | Google Cloud Workflows | iPaaS (Integration Platform as a Service) | 2023 | Deloitte | In 2023, Covered California implemented Google Cloud Workflows as part of an iPaaS (Integration Platform as a Service) architecture to orchestrate resident verification for public-sector enrollment. The initiative was executed as a Document AI pilot with Deloitte as the implementation partner, and the proof of concept recorded an average 84% automated verification rate with a planned June 2024 operational launch. Google Cloud Workflows was configured to orchestrate end to end document processing pipelines, coordinating ingestion, Document AI processing, conditional decision logic, retry and exception handling, and human review handoffs where verification confidence fell below threshold. The implementation leveraged Google Cloud Workflows to sequence Google Cloud Document AI tasks and to encapsulate business logic for automated verification, maintaining the full application name Google Cloud Workflows in pipeline orchestration and workflow definition. Integrations centered on Google Cloud Document AI for extraction and verification, with Deloitte implementing connectors and orchestration patterns recommended in Google Cloud documentation to route processed results into Covered California enrollment operations. The deployment scope targeted resident verification within public enrollment workflows, aligning application orchestration with enrollment business functions and operational teams responsible for intake and eligibility determination. Governance and rollout followed a pilot to production path managed with Deloitte, preserving human-in-the-loop controls and exception queues for manual adjudication during the phased launch. Operational governance emphasized workflow versioning, audit logging within Google Cloud Workflows, and documented escalation for verification failures, supporting the June 2024 launch timeline. Covered California Google Cloud Workflows iPaaS integration therefore tied orchestration, document AI automation, and enrollment operations under a single orchestrated pipeline. | ||
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Mr. Cooper | Banking and Financial Services | 3000 | $750M | United States | Google Cloud Workflows | iPaaS (Integration Platform as a Service) | 2018 | n/a | In 2018, Mr. Cooper implemented Google Cloud Workflows as the orchestration layer for its Pyro document-management pipeline, recorded under the iPaaS (Integration Platform as a Service) category. The deployment targeted mortgage servicing workflows to automate document classification and extraction at scale, and the Pyro pipeline achieved greater than 90% classification accuracy while processing more than 2,200 pages per minute and handling approximately 932 million pages in the first year. Google Cloud Workflows was used to sequence Document AI driven classification and extraction tasks with serverless compute steps, inferred from Google guidance that recommends Workflows to coordinate Document AI, Cloud Functions, and downstream steps. Functional capabilities implemented include automated document capture and routing, OCR and field extraction via Document AI, stepwise orchestration for parallel processing and retry logic, and downstream handoff to servicing systems for mortgage transaction processing. Operational coverage focused on mortgage servicing operations across Mr. Cooper, embedding the Pyro pipeline into servicing intake and downstream processing channels. Governance and production practices emphasized workflow sequencing, error handling and retry policies, and orchestration-level auditability and version control to support ongoing tuning of classification models and stable document-processing operations. | ||
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Workday Inc | Professional Services | 20515 | $8.4B | United States | Google Cloud Workflows | iPaaS (Integration Platform as a Service) | 2021 | n/a | In 2021, Workday Inc integrated Google Procurement DocAI into its Workday Expenses product to automate global finance and expense receipt processing, enabling multi-language support and improved extraction accuracy reported at F1 greater than 85 percent. The initiative targeted finance and expense management workflows within Workday Expenses, centralizing receipt ingestion and data extraction as part of the expense lifecycle. Workday implemented Google Cloud Workflows as the orchestration layer within an iPaaS (Integration Platform as a Service) architecture to sequence Document AI pipelines and enforce processing order between ingestion, extraction, validation, and posting. Google Cloud Workflows coordinated task sequencing and error handling for the Document AI steps, aligning extraction outputs with Workday Expenses processing routines and standardized data mappings. The technical architecture positioned Google Procurement DocAI, Google Cloud Workflows, and Workday Expenses as core components of an iPaaS (Integration Platform as a Service) solution, providing centralized orchestration, pipeline management, and audit logging for global finance teams. Operational coverage emphasized multi-language receipt parsing and automated extraction accuracy, with Google Procurement DocAI driving the extraction capabilities and Google Cloud Workflows providing end-to-end orchestration. Governance and process controls were implemented through centralized workflow orchestration and standardized extract-and-validate pipelines, creating auditable processing flows to support finance controls and operational traceability. The configuration reflects a category-aligned integration pattern where Google Cloud Workflows orchestrates Document AI processing into a finance application, Workday Expenses, within an iPaaS (Integration Platform as a Service) topology. |
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