OpenText Aviator Platform Integrations

OpenText Aviator is a suite of enterprise AI solutions embedded across OpenText platforms to help organizations automate work, find information, generate content, and make faster decisions using trusted business data. It combines agentic AI with information management so AI can understand an organization’s content, workflows, systems, policies, and goals. Content Aviator provides an intelligent AI content assistant for conversational search, summarization, and knowledge work. DevOps Aviator supports faster application delivery, development, and automated software testing, while Experience Aviator helps marketing and customer success teams create contextual, personalized communications and experiences with generative AI. Fax Aviator can extract information from incoming faxes, route them to the correct destination, populate forms and databases, and trigger workflows automatically. Service Management Aviator helps users, service agents, and IT staff find answers.

OpenText Service Management Aviator is a trusted, context-aware AI solution for IT service management (ITSM) and enterprise service management (ESM), grounded in an organization’s own knowledge, policies, procedures, and documentation. It helps employees find answers faster, improves service desk productivity, and scales service operations while maintaining governance and AI sovereignty. AI-assisted self-service lets users answer how-to questions, submit service requests, and complete guided automation across departments such as IT and HR. Service desk agents receive contextual information about incoming tickets, including AI-generated summaries and suggested solutions. Aviator can turn resolved tickets into knowledge articles with generated summaries, tags, and categorization, helping organizations expand self-service content. It also supports intelligent routing, solution recommendations, autonomous fulfillment, and knowledge creation.

OpenText Experience Aviator is an AI foundation for creating contextual, personalized, and relevant customer communications and experiences at scale. Built into OpenText Experience Cloud, it applies generative AI, image AI, and content analysis directly where customer experience teams work, helping marketers, communicators, and customer success teams generate content, manage digital assets, and improve customer interactions. Teams can create new content or update existing material for greater simplicity, clarity, empathy, and consistency while maintaining a unified brand voice. Generative AI is embedded directly into OpenText Communications authoring workflows, allowing teams to create personalized communications grounded in trusted enterprise content and customer data. Experience Aviator can also generate web pages and digital assets, repurpose content across formats, and help teams produce faster first drafts with fewer manual revisions.

OpenText Aviator Studio is a no-code and pro-code platform for building, governing, connecting, deploying, and iterating enterprise AI agents. Designed for scale, security, and intelligent automation, it acts as an AI control plane for creating trusted agents across OpenText products and enterprise environments. Teams can rapidly design, test, and refine agents, develop multi-step workflows, chain reasoning, and deploy to different environments. Multi-agent choreography allows organizations to coordinate agents and systems across complex workflows, while a prompt library, reusable micro-capabilities, and standardized interfaces support consistent development and reuse. Aviator Studio includes enterprise-grade governance, permissions, policy enforcement, identity management, audit logging, data isolation, and guardrail settings to help prevent prompt injection and protect sensitive information.

OpenText DevOps Aviator brings generative and agentic AI into the software delivery lifecycle to help teams accelerate application delivery, development, and automated software testing. Integrated with OpenText Core Software Delivery Platform and OpenText Software Delivery Management, it helps automate workflows, reduce defects, and provide real-time insights for optimizing value stream KPIs. A context-aware AI assistant lets users ask questions about features, defects, tasks, and tests, receive precise answers, and create stories or tasks without switching tools. AI-powered test conversion transforms manual tests into automated assets using codeless workflows or Gherkin BDD, while generated test suggestions help increase coverage. It uses historical velocity and AI-driven insights to predict feature delivery and release timelines and identify risks before deadlines are affected.