List of OpenText IT Operations Aviator Customers
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Since 2010, our global team of researchers has been studying OpenText IT Operations Aviator 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 OpenText IT Operations Aviator for Chatbots and Conversational AI 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 OpenText IT Operations Aviator for Chatbots and Conversational AI include: Pick n Pay, a South Africa based Retail organisation with 52000 employees and revenues of $6.65 billion, Export Development Bank of Egypt, a Egypt based Banking and Financial Services organisation with 1692 employees and revenues of $582.0 million and many others.
Contact us if you need a completed and verified list of companies using OpenText IT Operations Aviator, 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 OpenText IT Operations Aviator 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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Export Development Bank of Egypt | Banking and Financial Services | 1692 | $582M | Egypt | OpenText | OpenText IT Operations Aviator | Chatbots and Conversational AI | 2024 | Raya IT | In 2024, Export Development Bank of Egypt deployed OpenText IT Operations Aviator as part of a broader OpenText IT Operations Cloud initiative, aligning the private generative AI virtual agent with the bank's service management strategy in the Chatbots and Conversational AI category. The deployment was executed with support from implementation partner Raya IT and targeted both IT operations and cross-functional service workflows to accelerate digital capabilities and customer centricity. EBank implemented OpenText Service Management Automation X SMAX to add smart self-serve capabilities and automate manual, paper based processes, while adopting OpenText Operations Orchestration OO and OpenText Universal Discovery and CMDB to discover, map and manage configuration items. OpenText IT Operations Aviator was positioned as the private generative AI virtual agent layer to enable conversational incident resolution and to surface knowledge driven responses, and SMAX centralized IT financial management documentation to create a largely paperless operating model that supports the bank's ESG goals. The technical architecture used SMAX as the service management platform with OO providing workflow orchestration and Universal Discovery with CMDB providing configuration item discovery, all integrated through standard APIs and native connectors. Operational coverage extended beyond IT to finance, human capital, administration affairs and corporate communications, with the bank instrumenting real time tracking and accuracy improvements for financial control and HR management. Governance and rollout emphasized customization of workflows to business requirements, with Chief Technology and Information Officer Ismail Farid, Head of Governance Amr Samir, and IT Service Delivery Unit Head Ibrahim Aly Helmy leading implementation and governance changes. The program focused on workflow automation, role based process ownership, and regulatory alignment to improve auditability and control across automated processes. Outcomes explicitly reported by the bank and OpenText include enhanced operational efficiencies and innovation in IT infrastructure management, reduced errors and improved accuracy in non IT departments, optimized IT operations performance with stricter security controls through OO, and the bank becoming largely paperless through digital documentation in SMAX. OpenText IT Operations Aviator was credited with enabling intelligent service management transformation through a private generative AI virtual agent within the bank's service management stack. | |
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Pick n Pay | Retail | 52000 | $6.7B | South Africa | OpenText | OpenText IT Operations Aviator | Chatbots and Conversational AI | 2024 | n/a | Pick n Pay implemented OpenText IT Operations Aviator in 2024 to accelerate and automate software testing across its ecommerce and digital services stack. The deployment activated OpenText IT Operations Aviator within Pick n Pay's cloud-based OpenText ValueEdge value stream management workspace, yielding automated testing coverage of 95 percent and reducing manual test creation time by up to three days as reported during initial rollout. OpenText IT Operations Aviator was configured to generate AI-driven test cases and to operate on private large language models trained within Pick n Pay's information ecosystem. During validation across 45 features the solution matched manual tester output 80 percent of the time and surfaced additional test cases that increased platform-specific coverage by 20 percent, enabling quality assurance and system integration testing levels reported at 95 percent. The implementation links OpenText ValueEdge and OpenText IT Operations Aviator in a cloud value stream management architecture, embedding conversational AI capabilities typical of the Chatbots and Conversational AI category to provide real-time test-authoring suggestions and onboarding assistance for junior testers. Integration was scoped to testing teams, QA and system integration workflows, and development projects supporting Pick n Pay's online customer channels across its multi-country retail footprint. Governance and process changes moved teams from manual test case writing to workflows that accept AI-generated test cases as primary inputs, introducing automation earlier in development to reduce wait times for manual testing. Pick n Pay signaled plans to consolidate assets into a single platform over the next 12 to 18 months to expand automation and standardize test automation governance and lifecycle practices. |
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