List of C3 AI ESG Customers
Redwood City, 94063, CA,
United States
Since 2010, our global team of researchers has been studying C3 AI ESG 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 C3 AI ESG for Environmental, Social, and Governance (ESG) 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 C3 AI ESG for Environmental, Social, and Governance (ESG) include: Ernst & Young, a United Kingdom based Professional Services organisation with 406209 employees and revenues of $51.20 billion, Baker Hughes, a United States based Utilities organisation with 57000 employees and revenues of $27.80 billion, Shell Service Stations UK, a United Kingdom based Oil, Gas and Chemicals organisation with 1812 employees and revenues of $4.00 billion and many others.
Contact us if you need a completed and verified list of companies using C3 AI ESG, 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 C3 AI ESG 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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Baker Hughes | Utilities | 57000 | $27.8B | United States | C3.ai | C3 AI ESG | Environmental, Social, and Governance (ESG) | 2023 | n/a | In 2023, Baker Hughes deployed C3 AI ESG to automate and scale its stakeholder materiality assessment, using the Environmental, Social, and Governance (ESG) application to drive materiality analysis in the United States. The implementation is documented in analyst coverage and C3.ai filings as an ESG and sustainability process focused on materiality and reporting. The deployment targeted automated parsing and scoring of stakeholder documents to inform sustainability strategy. C3 AI ESG was configured to ingest and process thousands of documents using natural language processing to extract themes and sentiment, producing time series materiality scores that track issue salience over time. Functional capabilities implemented include document ingestion pipelines, NLP based entity and topic extraction, a scoring engine to generate time series materiality metrics, and reporting dashboards for stakeholder review. Automation scaled the materiality assessment workflow and enabled repeatable periodic assessments. Operational coverage concentrated on Baker Hughes sustainability and reporting functions in the United States, with materiality outputs intended to guide sustainability strategy and periodic reporting cycles. Governance adjustments focused on embedding time series materiality scores into ESG decision workflows and reporting review, enabling sustainability teams and reporting owners to surface and prioritize stakeholder topics for strategy and disclosure. The use of C3 AI ESG for this materiality assessment is described in public analyst coverage and vendor filings. | |
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Ernst & Young | Professional Services | 406209 | $51.2B | United Kingdom | C3.ai | C3 AI ESG | Environmental, Social, and Governance (ESG) | 2023 | n/a | In 2023, Ernst & Young deployed C3 AI ESG to support ESG data management and reporting within its advisory practice. The deployment positioned C3 AI ESG as an Environmental, Social, and Governance (ESG) application to instrument advisory workflows and client reporting across EY engagements. The implementation concentrated on centralizing ESG data ingestion and normalization, establishing a consistent metrics calculation layer, and provisioning analytics and reporting workflows aligned to advisory deliverables. Configuration and automation emphasized data pipelines, model-driven analytics, and dashboarding to surface standardized ESG indicators and support evidence-based reporting in client work. Operational scope targeted EY’s advisory business function, embedding Environmental, Social, and Governance (ESG) capabilities into client-facing engagements rather than solely internal compliance. Governance attention focused on standardized taxonomy, data quality controls, and repeatable reporting workflows to support advisory teams using C3 AI ESG. | |
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Shell Service Stations UK | Oil, Gas and Chemicals | 1812 | $4.0B | United Kingdom | C3.ai | C3 AI ESG | Environmental, Social, and Governance (ESG) | 2023 | n/a | In 2023, Shell Service Stations UK conducted a proof-of-concept deployment of C3 AI ESG to support Environmental, Social, and Governance (ESG) use cases focused on sustainability reporting and materiality. C3.ai publicly described the engagement as a PoC and reported the work used natural language processing to generate targeted insights on evolving stakeholder ESG priorities. The implementation centered on C3 AI ESG capabilities for semantic extraction and stakeholder insight generation, employing NLP models to surface priority topics, tag stakeholder sentiment, and feed structured materiality mapping workflows. Functional configuration emphasized taxonomy alignment for sustainability reporting, automated extraction of narrative text, and mechanisms to translate unstructured stakeholder input into report-ready data sets. Operational integration for the PoC involved ingesting and normalizing textual stakeholder channels and internal sustainability data via connectors and data pipelines, enabling the sustainability and corporate reporting teams at Shell Service Stations UK in the United Kingdom to access synthesized insights. Business functions impacted included sustainability, corporate reporting, risk and compliance, and stakeholder engagement, with outputs designed to inform materiality assessments and reporting cadences. Governance during the PoC included model validation, review cycles for extracted insights, and a structured workflow for escalating material topics to sustainability stewards and reporting owners. The engagement is recorded in vendor filings as a proof-of-concept for C3 AI ESG rather than a production rollout, and the narrative positions Shell Service Stations UK C3 AI ESG Environmental, Social, and Governance (ESG) work as an exploratory application of NLP-driven stakeholder insight to support sustainability reporting and materiality processes. |
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