Treasure AI Launches New Automated Marketing Platform
The platform enables enterprise marketing teams to reduce message production time from 24 hours to one hour.
Updated on Oct. 16, 2026 in Remote Work

Live Poll
Do you trust that delegating marketing tasks to autonomous AI agents results in better customer service?
Treasure AI debuted its new Digital Worker platform and Personalization Studio at the Agentic World 2026 conference in Miami. The technology aims to automate marketing workflows by moving directly from customer signals to insight and action.
Why it matters
Marketing teams are increasingly looking to shorten production lifecycles, with Treasure AI demonstrating how its platform can cut message creation time from 24 hours to one hour. By deploying AI agents that operate within defined permission sets, businesses can automate complex tasks previously requiring manual oversight.
The platform has demonstrated significant efficiency gains, including a reduction in message production time to one hour from a 24-hour baseline. More than 500 enterprise marketing and data leaders attended the summit to review these deployment metrics.
The players
Treasure AI
A technology provider specializing in AI-driven marketing automation and data processing platforms for enterprise clients.
The details
The Digital Worker platform functions by utilizing team-defined permissions and governed customer context to execute tasks autonomously. During a live demonstration, staff used the company's Personalization Studio to launch a clothing brand from scratch, illustrating the capability to transition from concept to market-ready content. The system introduces a shift in pricing strategy, moving to a click-based model for email campaigns rather than traditional volume-based tiers.
Timeline
October 5-7, 2026: Agentic World 2026 conference took place in Miami.
October 7, 2026: Treasure AI presented the 2026 Customer Awards.
Market Landscape
The rollout of Treasure AI's platform follows the broader industry trend of moving from simple generative content to agentic systems capable of autonomous, multi-step marketing execution. This transition marks a departure from static AI tools toward integrated platforms that manage customer context and workflow governance.
Miami-based marketing managers should evaluate the impact of click-based email pricing on their current campaign budgets. Teams should assess whether their existing data governance frameworks are mature enough to support autonomous Digital Workers before integrating these platforms into production.
The takeaway
The move toward agentic workflows represents a shift in how marketing teams manage customer signal processing and message production at scale. Operators should track the performance metrics of these automated agents against their manual production costs to determine if a transition to click-based pricing offers a net gain.
Further reading
Learn more about the latest tools shifting marketing operations in our Remote Work section.
Live Poll
Do you trust that delegating marketing tasks to autonomous AI agents results in better customer service?








