OpenText Aviator Platform Integrations

OpenText Aviator offers a comprehensive suite of AI-driven solutions integrated within its platforms, designed to assist organizations in streamlining tasks, accessing information, generating content, and expediting decision-making by leveraging reliable business data. By merging agentic AI with advanced information management, it enables artificial intelligence to comprehend an organization's unique content, workflows, systems, policies, and objectives. The Content Aviator acts as an intelligent assistant for conversational search, summarization, and knowledge-driven tasks. Meanwhile, DevOps Aviator enhances the speed of application delivery, development, and automated software testing processes. Experience Aviator empowers marketing and customer success teams to craft contextual and personalized communications through generative AI. Additionally, Fax Aviator efficiently extracts information from incoming faxes, directs them appropriately, fills out forms and databases, and initiates workflows without manual intervention. Furthermore, Service Management Aviator assists users, service agents, and IT personnel in swiftly locating answers to their inquiries. This integration of AI into various business functions highlights OpenText’s commitment to fostering innovation and efficiency within organizations.

OpenText Service Management Aviator serves as a reliable, context-aware AI solution tailored for IT service management (ITSM) and enterprise service management (ESM), built upon an organization’s unique knowledge, policies, procedures, and documentation. By enabling employees to find answers more swiftly, it enhances service desk efficiency and expands service operations while ensuring adherence to governance and AI sovereignty. With AI-powered self-service capabilities, users can easily address how-to inquiries, submit service requests, and engage in guided automation across various departments, including IT and HR. Service desk agents benefit from a wealth of contextual information linked to incoming tickets, featuring AI-generated summaries and proposed solutions. Moreover, Aviator can convert resolved tickets into comprehensive knowledge articles complete with summaries, tags, and categorization, which aids organizations in broadening their self-service resources. It also excels in intelligent ticket routing, provides solution recommendations, facilitates autonomous fulfillment, and promotes the creation of new knowledge, ultimately fostering a more efficient and informed workplace environment. This holistic approach not only streamlines processes but also empowers employees to leverage AI-driven resources effectively.

OpenText Experience Aviator serves as an intelligent foundation designed to facilitate the development of contextual, personalized, and pertinent customer communications and experiences on a large scale. Integrated within the OpenText Experience Cloud, it leverages generative AI, image AI, and content analysis to empower customer experience teams in their daily tasks, enabling marketers, communicators, and customer success personnel to produce engaging content, oversee digital assets, and enhance customer interactions effectively. Teams are equipped to generate innovative content or refine existing resources, ensuring increased simplicity, clarity, empathy, and consistency, all while preserving a cohesive brand voice. With generative AI seamlessly incorporated into OpenText Communications authoring workflows, teams can craft tailored communications based on reliable enterprise information and customer insights. Additionally, Experience Aviator is capable of generating web pages and digital assets, repurposing content for various formats, and accelerating the creation of initial drafts while minimizing the need for manual revisions. This comprehensive tool ultimately streamlines the content creation process and significantly improves team efficiency.

OpenText Aviator Studio serves as a comprehensive platform that caters to both no-code and pro-code users, facilitating the creation, management, integration, deployment, and continuous improvement of enterprise AI agents. Tailored for scalability, robust security, and smart automation, it functions as an AI control hub that enables the development of reliable agents across various OpenText offerings and enterprise settings. Teams benefit from the ability to swiftly design, evaluate, and enhance agents, as well as create intricate workflows, implement logical chains of reasoning, and deploy solutions across multiple platforms. The platform's multi-agent choreography feature empowers organizations to synchronize agents and systems within complex workflows seamlessly. Additionally, tools like a prompt library, reusable micro-capabilities, and standardized interfaces contribute to streamlined development practices and promote code reuse. Aviator Studio also prioritizes enterprise-level governance, offering features such as permissions management, policy enforcement, identity control, audit logging, data isolation, and guardrails to mitigate risks like prompt injection and safeguard sensitive data. Ultimately, this platform provides organizations with the tools needed to harness AI effectively while maintaining a strong focus on security and compliance.

OpenText DevOps Aviator incorporates generative and agentic AI to enhance the software delivery lifecycle, enabling teams to speed up application development, delivery, and automated testing processes. By being integrated with both the OpenText Core Software Delivery Platform and OpenText Software Delivery Management, it streamlines workflows, minimizes defects, and offers real-time insights that optimize key performance indicators in the value stream. A smart, context-aware AI assistant empowers users to inquire about features, defects, tasks, and tests, providing accurate responses and facilitating the creation of stories or tasks without the need to switch between tools. Additionally, AI-driven test conversion capabilities allow for the transformation of manual tests into automated processes through codeless workflows or Gherkin BDD, complemented by generated test recommendations that enhance coverage. Utilizing historical velocity data along with AI-based insights, it can predict delivery timelines for features and releases, while also identifying potential risks before they impact deadlines. This comprehensive approach ensures teams can work more efficiently and effectively throughout the development cycle.