Airship’s new intelligent agents work independently or collaboratively to create, test, and optimize the complete customer experience across apps, websites, and all channels
To ensure brand safety, all agents maintain human involvement, follow brand style guidelines, and proactively ensure accessibility requirements are met
Airship , the cross-channel customer experience company , today expanded its leadership in no-code native mobile experiences with the launch of the Airship AI Agent . This task-based intelligent agent automates the creation, testing, and optimization of the entire customer experience, from highly personalized messaging across channels to the end experience and outcomes on a brand’s key conversion destinations, such as apps and websites.
Unlike typical AI tools, Airship’s agents work together to enable a continuous, goal-driven optimization loop. For example, retail brands can now:
- Scene AI Agent instantly creates rich multi-screen guided flows or branching surveys to discover customer preferences, thereby increasing engagement and collecting valuable zero-party data to support future personalization.
- Optimize the conversion path from messaging to results by using the Experimentation AI Agent to automatically and continuously test which message variations and app or website experiences best drive conversions or other goals.
- Closing the loop with a Recommendation AI Agent that provides marketing and product teams with actionable next steps, delivering benefits at scale in just a few clicks.
Each agent can operate independently or in collaboration, and teams can start with agents that solve the most pressing needs and gradually expand to unlock powerful agent benefits. By default, each Airship AI agent retains human intervention, ensuring full control and transparency for the team. As agents learn and adapt to achieve specific goals, brands can adjust their degree of autonomy, providing a responsible and scalable path to efficiency.
“For too long, teams have been stuck in a manual cycle of creation and analysis that has held them back from keeping up with the speed of their customers. They need a system that not only creates experiences, but continuously optimizes them to achieve specific goals,” said Mike Herrick, CTO of Airship. “Our AI Agents are the natural evolution of our no-code platform, delivering on our original mission of enabling teams to automate the entire process from creation to optimization without developer support. Airship AI Agents can now close the loop between testing, learning, and acting at a speed and scale that was previously impossible. We’re putting teams in control of this powerful cycle, empowering them to connect every marketing effort and customer interaction to important business outcomes.”
Task-based AI agents are designed to solve key pain points:
- Contextual AI agents act as instant creators, transforming simple prompts or existing images into a variety of fully-branded, interactive app and web experiences, including user onboarding flows, activation sequences, rich content, and branching surveys.
- Testing AI acts as a tireless analyst, recommending and executing complex multivariate tests of app or web experiences and cross-channel messaging to continuously optimize specific business goals.
- The Recommendation AI agent plays the role of a strategic planner, closing the loop optimization process by providing prescriptive next-best action suggestions, transforming complex performance data into clear and actionable execution recommendations.
The fourth agent, Accessibility AI Agent, acts as a compliance guardian, proactively generating accessibility-compliant elements to ensure that experience designs comply with key standards, including the European Accessibility Act, which came into effect on June 28, thereby reducing legal and financial risks.
The focus on safe and responsible AI is the cornerstone of the entire system. Airship Brand Hub is the foundation for all agencies, ensuring that all AI-generated content, including apps, web experiences, and cross-channel campaign copy, follows the brand style guide and matches the company’s unique tone, voice, and visual identity, while solving the core tension between generating content quickly and at scale while maintaining brand integrity.
“Using AI agents to generate contextual insights and act on them in a role- and context-relevant way will dramatically improve insight-driven marketing and sales through differentiated interactions based on relevance, responsiveness, and value rather than volume or scale. AI agents must be able to leverage high-quality first-party data to continuously learn about the business and its customers…Today’s AI agents need human supervision more than ever to help them understand the business and its customers to best guide and leverage their goal-directed behaviors” (Forrester Research, Inc., “AI Agents: What They Mean for B2B Marketing, Sales, and Product,” April 1, 2025).
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