SAN FRANCISCO -- Airship, the cross-channel customer experience company, built on its leadership in no-code native mobile experiences by unveiling Airship AI Agents. These task-specialized, intelligent agents automate the creation, testing and optimization of the entire customer experience — from the orchestration of highly personalized cross-channel messaging to the resulting experiences and outcomes on brands' critical conversion destinations, their apps and websites.

Unlike generic AI tools, Airship’s agents work in concert, enabling a continuous, goal-based optimization loop. For example, a retail brand can now:

· Instantly create a rich, multi-screen onboarding Story or a branching Survey to capture customer preferences with the Scene AI Agent, driving greater engagement and valuable zero-party data collection for future personalization.
· Use the Experimentation AI Agent to automatically and continuously test which message variant and app or website experience best drives conversion or other goals, optimizing the path from messaging to outcome.
· Close the loop with the Recommendation AI Agent, which delivers prescriptive next-steps that marketing and product teams can implement in just a few clicks to scale performance.

Each agent is designed to work independently or in tandem, allowing teams to start small with the agent that solves their most pressing need and scale over time to unlock powerful agentic benefits. By default, every Airship AI Agent keeps a human in the loop, ensuring teams retain full control and transparency. As the agents learn and adapt to achieve specific goals, brands will be able to adjust their level of autonomous operation—providing a responsible, scalable path to greater efficiency.

“For too long, teams have been stuck in a cycle of manual creation and analysis that prevents them from moving at the speed of their customers. They need a system that not only creates experiences, but continuously optimizes them toward specific goals,” said Mike Herrick, CTO, Airship. “Our AI Agents are the natural evolution of our no-code platform, automating the entire creation-to-optimization process that we first enabled teams to accomplish without developer support. Airship AI Agents now close the loop between testing, learning and action at a speed and scale that was previously impossible. By keeping teams in control of this powerful cycle, we are empowering them to connect every marketing effort and customer interaction to meaningful business outcomes.”

The task-specialized AI agents are purpose-built to solve critical pain points:

· The Scene AI Agent acts as an instant creator, transforming simple prompts or existing images into a variety of fully-branded, interactive app and web experiences—from onboarding flows and activation sequences to rich Stories and branching Surveys.
· The Experimentation AI Agent serves as a tireless analyst, recommending and running complex multivariate tests on app or web experiences and cross-channel messages to continuously optimize for specific business goals.
· The Recommendation AI Agent functions as a strategist, closing the optimization loop by delivering prescriptive next-best actions that turn complex performance data into clear, easily implemented suggestions.

A fourth agent, the Accessibility AI Agent, serves as a compliance guardian, proactively generating elements to ensure experiences are built to meet accessibility requirements and critical standards like the new EU Accessibility Act that went into effect June 28, mitigating significant legal and financial risk.

This focus on safe and responsible AI is foundational to the entire system. Underpinning all agents is the Airship Brand Hub, which ensures every piece of AI-generated content, from app and web experiences to cross-channel campaign copy uses the brand’s style guide adhering to the company’s unique voice, tone, and visual identity. It solves the core tension between generating content at speed and scale, while maintaining brand integrity.

“Using AI agents to generate contextual insights and action them in a role- and scenario-relevant way will supercharge insights-driven marketing and sales by enabling differentiated interactions based on relevance, responsiveness, and value, not quantity or scale. AI agents must be able to continuously learn about your business and customers using quality first-party data … human oversight is needed now more than ever to help AI agents learn about the business and its customers to best guide and use their goal-oriented behaviors” (Forrester Research, Inc., “AI Agents: What It Means For B2B Marketing, Sales, And Product,” April 1, 2025).