Many companies have excellent products — but no one hears about them. The reason: they fail to translate them into stories that are relevant to the customer. Tell closes this gap. It’s about two things: First, story design — creating narratives that speak the customer’s language while aligning perfectly with the product. Second, fully automated delivery — at the right moment, highly personalized, and measurable.
Without an engine, storytelling isn’t possible: good stories, at scale, consist of hundreds of steps and dozens of touchpoints that must be orchestrated — precisely triggered, time-coordinated, and tightly integrated with capacity planning. Continuously fine-tuned in real time through end-to-end metrics. A CSV file can’t do that.
Tell is the bridge between product and market. It’s no longer enough to create personas or launch isolated campaigns. What matters is designing consistent, company-wide stories. This saves resources, prevents scatter losses, and ensures that every message lands where it has the greatest impact — with Lena and her AI assistant.
And this is only possible with Agent Relationship Management (ARM). Because Lena no longer hears our messages solely herself — her personal AI assistant filters, sorts, and decides what reaches her. For a story to succeed, we must actively engage with her agent as well — treating it as a new target audience, providing it with relevant, clearly structured information, understanding it as an independent recipient of our communication, and connecting it with our own AI agents. Those who master this don’t just reach Lena directly — they also secure the recommendation of her digital butler, gaining a decisive competitive edge.